Built-in classic metrics

Each Dynatrace-supported technology offers multiple "built-in" metrics. Built-in metrics are included in the product out of the box, in some cases as part of built-in extensions.

Metrics that are based on extensions (prefix ext:) and calculated metrics (prefix calc:) are custom metrics, not built-in metrics; DDU consumption for these metrics can vary widely depending on how you use Dynatrace.

To view all the metrics available in your environment, use the GET metrics API call. We recommend the following query parameters:

  • pageSize=500—to obtain the largest possible number of metrics in one response.
  • fields=displayName,unit,aggregationTypes,dduBillable—to obtain the same set of fields as you see in these tables.
  • Depending on which metrics you want to query, one of the following values for the metricSelector parameter:
    • metricSelector=ext:*—to obtain all metrics coming from extensions.
    • metricSelector=calc:*—to obtain all calculated metrics.
    • Omit the parameter to obtain all the metrics of your environment.

The sections below describe inconsistencies or limitations identified for Dynatrace built-in metrics.

The Other applications metrics section contains metrics captured for mobile and custom applications. These metrics, which start with builtin:apps.other, are captured without the indication whether it's a mobile or a custom application. However, the "billing" application metrics, which start with builtin:billing.apps, are split for these application types:

  • Mobile apps:

    • builtin:billing.apps.mobile.sessionsWithoutReplayByApplication
    • builtin:billing.apps.mobile.sessionsWithReplayByApplication
    • builtin:billing.apps.mobile.userActionPropertiesByMobileApplication
  • Custom apps:

    • builtin:billing.apps.custom.sessionsWithoutReplayByApplication
    • builtin:billing.apps.custom.userActionPropertiesByDeviceApplication

The following "billing" metrics for session count are actually the sum of billed and unbilled user sessions.

  • builtin:billing.apps.custom.sessionsWithoutReplayByApplication
  • builtin:billing.apps.mobile.sessionsWithReplayByApplication
  • builtin:billing.apps.mobile.sessionsWithoutReplayByApplication
  • builtin:billing.apps.web.sessionsWithReplayByApplication
  • builtin:billing.apps.web.sessionsWithoutReplayByApplication

If you want to get only the number of billed sessions, set the Type filter to Billed.

Different measurement units are used for similar request duration metrics for mobile and custom apps.

builtin:apps.other.keyUserActions.requestDuration.os is measured in microseconds while other request duration metrics (builtin:apps.other.requestTimes.osAndVersion and builtin:apps.other.requestTimes.osAndProvider) are measured in milliseconds.

Custom metrics are defined or installed by the user, while built-in metrics are by default part of the product. Certain built-in metrics are disabled by default and, if turned on, will consume DDUs.These metrics cover a wide range of supported technologies, including Apache Tomcat, NGINX, Couchbase, RabbitMQ, Cassandra, Jetty, and many others.

A custom metric is a new type of metric that offers a user-provided metric identifier and unit of measure. The semantics of custom metrics are defined by you and aren't included in the default OneAgent installation. Custom metrics are sent to Dynatrace through various interfaces. Following the definition of a custom metric, the metric can be reported for multiple monitored components. Each component’s custom metric results in a separate timeseries.

For example, if you define a new custom metric called Files count that counts the newly created files within a directory, this new metric can be collected either for one host or for two individual hosts. Collecting the same metric for two individual hosts results in two timeseries of the same custom metric type, as shown in the example below:

Custom metrics

For the purposes of calculating monitoring consumption, collecting the same custom metric for two hosts counts as two separate custom metrics.

Applications

Custom

Metric key
Name and description
Unit
Aggregations
builtin:apps.custom.reportedErrorCount

Reported error count (by OS, app version) [custom]

The number of all reported errors.

Count
autovalue
builtin:apps.custom.sessionCount

Session count (by OS, app version) [custom]

The number of captured user sessions.

Count
autovalue

Mobile

Metric key
Name and description
Unit
Aggregations
builtin:apps.mobile.sessionCount

Session count (by OS, app version, crash replay feature status) [mobile]

The number of captured user sessions.

Count
autovalue
builtin:apps.mobile.sessionCount.sessionReplayStatus

Session count (by OS, app version, full replay feature status) [mobile]

The number of captured user sessions.

Count
autovalue
builtin:apps.mobile.reportedErrorCount

Reported error count (by OS, app version) [mobile]

The number of all reported errors.

Count
autovalue

Web applications

Metric key
Name and description
Unit
Aggregations
builtin:apps.web.action.affectedUas

User action rate - affected by JavaScript errors (by key user action, user type) [web]

The percentage of key user actions with detected JavaScript errors.

Percent (%)
autovalue
builtin:apps.web.action.apdex

Apdex (by key user action) [web]

The average Apdex rating for key user actions.

autoavg
builtin:apps.web.action.count.custom.browser

Action count - custom action (by key user action, browser) [web]

The number of custom actions that are marked as key user actions.

Count
autovalue
builtin:apps.web.action.count.load.browser

Action count - load action (by key user action, browser) [web]

The number of load actions that are marked as key user actions.

Count
autovalue
builtin:apps.web.action.count.xhr.browser

Action count - XHR action (by key user action, browser) [web]

The number of XHR actions that are marked as key user actions.

Count
autovalue
builtin:apps.web.action.cumulativeLayoutShift.load.userType

Cumulative Layout Shift - load action (by key user action, user type) [web]

The score measuring the unexpected shifting of visible webpage elements. Calculated for load actions that are marked as key user actions.

autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.cumulativeLayoutShift.load.userType.geo

Cumulative Layout Shift - load action (by key user action, geolocation, user type) [web]

The score measuring the unexpected shifting of visible webpage elements. Calculated for load actions that are marked as key user actions.

autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.cumulativeLayoutShift.load.browser

Cumulative Layout Shift - load action (by key user action, browser) [web]

The score measuring the unexpected shifting of visible webpage elements. Calculated for load actions that are marked as key user actions.

autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.domInteractive.load.browser

DOM interactive - load action (by key user action, browser) [web]

The time taken until a page's status is set to "interactive" and it's ready to receive user input. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.duration.custom.browser

Action duration - custom action (by key user action, browser) [web]

The duration of custom actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.duration.load.browser

Action duration - load action (by key user action, browser) [web]

The duration of load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.duration.xhr.browser

Action duration - XHR action (by key user action, browser) [web]

The duration of XHR actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.firstByte.load.browser

Time to first byte - load action (by key user action, browser) [web]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.firstByte.xhr.browser

Time to first byte - XHR action (by key user action, browser) [web]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for XHR actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.firstInputDelay.load.userType

First Input Delay - load action (by key user action, user type) [web]

The time from the first interaction with a page to when the user agent can respond to that interaction. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.firstInputDelay.load.userType.geo

First Input Delay - load action (by key user action, geolocation, user type) [web]

The time from the first interaction with a page to when the user agent can respond to that interaction. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.firstInputDelay.load.browser

First Input Delay - load action (by key user action, browser) [web]

The time from the first interaction with a page to when the user agent can respond to that interaction. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.largestContentfulPaint.load.userType

Largest Contentful Paint - load action (by key user action, user type) [web]

The time taken to render the largest element in the viewport. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.largestContentfulPaint.load.userType.geo

Largest Contentful Paint - load action (by key user action, geolocation, user type) [web]

The time taken to render the largest element in the viewport. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.largestContentfulPaint.load.browser

Largest Contentful Paint - load action (by key user action, browser) [web]

The time taken to render the largest element in the viewport. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.loadEventEnd.load.browser

Load event end - load action (by key user action, browser) [web]

The time taken to complete the load event of a page. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.loadEventStart.load.browser

Load event start - load action (by key user action, browser) [web]

The time taken to begin the load event of a page. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.networkContribution.load

Network contribution - load action (by key user action, user type) [web]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.networkContribution.xhr

Network contribution - XHR action (by key user action, user type) [web]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for XHR actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.responseEnd.load.browser

Response end - load action (by key user action, browser) [web]

(AKA HTML downloaded) The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.responseEnd.xhr.browser

Response end - XHR action (by key user action, browser) [web]

The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for XHR actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.serverContribution.load

Server contribution - load action (by key user action, user type) [web]

The time spent on server-side processing for a page. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.serverContribution.xhr

Server contribution - XHR action (by key user action, user type) [web]

The time spent on server-side processing for a page. Calculated for XHR actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.speedIndex.load.browser

Speed index - load action (by key user action, browser) [web]

The score measuring how quickly the visible parts of a page are rendered. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.visuallyComplete.load.browser

Visually complete - load action (by key user action, browser) [web]

The time taken to fully render content in the viewport. Calculated for load actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.visuallyComplete.xhr.browser

Visually complete - XHR action (by key user action, browser) [web]

The time taken to fully render content in the viewport. Calculated for XHR actions that are marked as key user actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.action.countOfErrors

Error count (by key user action, user type, error type, error origin) [web]

The number of detected errors that occurred during key user actions.

Count
autovalue
builtin:apps.web.action.countOfUserActionsWithErrors

User action count with errors (by key user action, user type) [web]

The number of key user actions with detected errors.

Count
autovalue
builtin:apps.web.action.jsErrorsDuringUa

JavaScript errors count during user actions (by key user action, user type) [web]

The number of detected JavaScript errors that occurred during key user actions.

Count
autovalue
builtin:apps.web.action.jsErrorsWithoutUa

JavaScript error count without user actions (by key user action, user type) [web]

The number of detected standalone JavaScript errors (occurred between key user actions).

Count
autovalue
builtin:apps.web.action.percentageOfUserActionsAffectedByErrors

User action rate - affected by errors (by key user action, user type) [web]

The percentage of key user actions with detected errors.

Percent (%)
autovalue
builtin:apps.web.actionCount.custom.browser

Action count - custom action (by browser) [web]

The number of custom actions.

Count
autovalue
builtin:apps.web.actionCount.load.browser

Action count - load action (by browser) [web]

The number of load actions.

Count
autovalue
builtin:apps.web.actionCount.xhr.browser

Action count - XHR action (by browser) [web]

The number of XHR actions.

Count
autovalue
builtin:apps.web.actionCount.category

Action count (by Apdex category) [web]

The number of user actions.

Count
autovalue
builtin:apps.web.actionCount.summary

Action with key performance metric count (by action type, geolocation, user type) [web]

The number of user actions that have a key performance metric and mapped geolocation.

Count
autovalue
builtin:apps.web.actionDuration.custom.browser

Action duration - custom action (by browser) [web]

The duration of custom actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.actionDuration.load.browser

Action duration - load action (by browser) [web]

The duration of load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.actionDuration.xhr.browser

Action duration - XHR action (by browser) [web]

The duration of XHR actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.actionsPerSession

Actions per session average (by users, user type) [web]

The average number of user actions per user session.

Count
autoavg
builtin:apps.web.activeSessions

Session count - estimated active sessions (by users, user type) [web]

The estimated number of active user sessions. An active session is one in which a user has been confirmed to still be active at a given time. For this high-cardinality metric, the HyperLogLog algorithm is used to approximate the session count.

Count
autovalue
builtin:apps.web.activeUsersEst

User count - estimated active users (by users, user type) [web]

The estimated number of unique active users. For this high-cardinality metric, the HyperLogLog algorithm is used to approximate the user count.

Count
autovalue
builtin:apps.web.affectedUas

User action rate - affected by JavaScript errors (by user type) [web]

The percentage of user actions with detected JavaScript errors.

Percent (%)
autovalue
builtin:apps.web.apdex.userType

Apdex (by user type) [web]

autoavg
builtin:apps.web.apdex.userType.geoBig

Apdex (by geolocation, user type) [web]

The average Apdex rating for user actions that have a mapped geolocation.

autoavg
builtin:apps.web.bouncedSessionRatio

Bounce rate (by users, user type) [web]

The percentage of sessions in which users viewed only a single page and triggered only a single web request. Calculated by dividing single-page sessions by all sessions.

Percent (%)
autovalue
builtin:apps.web.conversionRate

Conversion rate - sessions (by users, user type) [web]

The percentage of sessions in which at least one conversion goal was reached. Calculated by dividing converted sessions by all sessions.

Percent (%)
autovalue
builtin:apps.web.converted

Session count - converted sessions (by users, user type) [web]

The number of sessions in which at least one conversion goal was reached.

Count
autovalue
builtin:apps.web.cumulativeLayoutShift.load.userType

Cumulative Layout Shift - load action (by user type) [web]

The score measuring the unexpected shifting of visible webpage elements. Calculated for load actions.

autoavgcountmaxmedianminpercentilesum
builtin:apps.web.cumulativeLayoutShift.load.userType.geo

Cumulative Layout Shift - load action (by geolocation, user type) [web]

The score measuring the unexpected shifting of visible webpage elements. Calculated for load actions.

autoavgcountmaxmedianminpercentilesum
builtin:apps.web.cumulativeLayoutShift.load.browser

Cumulative Layout Shift - load action (by browser) [web]

The score measuring the unexpected shifting of visible webpage elements. Calculated for load actions.

autoavgcountmaxmedianminpercentilesum
builtin:apps.web.domInteractive.load.browser

DOM interactive - load action (by browser) [web]

The time taken until a page's status is set to "interactive" and it's ready to receive user input. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.endedSessions

Session count - estimated ended sessions (by users, user type) [web]

The number of completed user sessions.

Count
autovalue
builtin:apps.web.event.count.rageClick

Rage click count [web]

The number of detected rage clicks.

Count
autovalue
builtin:apps.web.firstByte.load.browser

Time to first byte - load action (by browser) [web]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.firstByte.xhr.browser

Time to first byte - XHR action (by browser) [web]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for XHR actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.firstInputDelay.load.userType

First Input Delay - load action (by user type) [web]

The time from the first interaction with a page to when the user agent can respond to that interaction. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.firstInputDelay.load.userType.geo

First Input Delay - load action (by geolocation, user type) [web]

The time from the first interaction with a page to when the user agent can respond to that interaction. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.firstInputDelay.load.browser

First Input Delay - load action (by browser) [web]

The time from the first interaction with a page to when the user agent can respond to that interaction. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.largestContentfulPaint.load.userType

Largest Contentful Paint - load action (by user type) [web]

The time taken to render the largest element in the viewport. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.largestContentfulPaint.load.userType.geo

Largest Contentful Paint - load action (by geolocation, user type) [web]

The time taken to render the largest element in the viewport. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.largestContentfulPaint.load.browser

Largest Contentful Paint - load action (by browser) [web]

The time taken to render the largest element in the viewport. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.loadEventEnd.load.browser

Load event end - load action (by browser) [web]

The time taken to complete the load event of a page. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.loadEventStart.load.browser

Load event start - load action (by browser) [web]

The time taken to begin the load event of a page. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.networkContribution.load

Network contribution - load action (by user type) [web]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.networkContribution.xhr

Network contribution - XHR action (by user type) [web]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for XHR actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.responseEnd.load.browser

Response end - load action (by browser) [web]

(AKA HTML downloaded) The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.responseEnd.xhr.browser

Response end - XHR action (by browser) [web]

The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for XHR actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.serverContribution.load

Server contribution - load action (by user type) [web]

The time spent on server-side processing for a page. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.serverContribution.xhr

Server contribution - XHR action (by user type) [web]

The time spent on server-side processing for a page. Calculated for XHR actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.sessionDuration

Session duration (by users, user type) [web]

The average duration of user sessions.

Microsecond
autoavg
builtin:apps.web.speedIndex.load.browser

Speed index - load action (by browser) [web]

The score measuring how quickly the visible parts of a page are rendered. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.startedSessions

Session count - estimated started sessions (by users, user type) [web]

The number of started user sessions.

Count
autovalue
builtin:apps.web.visuallyComplete.load.browser

Visually complete - load action (by browser) [web]

The time taken to fully render content in the viewport. Calculated for load actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.visuallyComplete.xhr.browser

Visually complete - XHR action (by browser) [web]

The time taken to fully render content in the viewport. Calculated for XHR actions.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.web.countOfErrors

Error count (by user type, error type, error origin) [web]

The number of detected errors.

Count
autovalue
builtin:apps.web.countOfErrorsDuringUserActions

Error count during user actions (by user type, error type, error origin) [web]

The number of detected errors that occurred during user actions.

Count
autovalue
builtin:apps.web.countOfStandaloneErrors

Standalone error count (by user type, error type, error origin) [web]

The number of detected standalone errors (occurred between user actions).

Count
autovalue
builtin:apps.web.countOfUserActionsWithErrors

User action count - with errors (by user type) [web]

The number of key user actions with detected errors.

Count
autovalue
builtin:apps.web.errorCountForDavis

Error count for Davis (by user type, error type, error origin, error context)) [web]

The number of errors that were included in Davis AI problem detection and analysis.

Count
autovalue
builtin:apps.web.interactionToNextPaint

Interaction to next paint

Millisecond
autocountmaxmedianminpercentile
builtin:apps.web.jsErrorsDuringUa

JavaScript error count - during user actions (by user type) [web]

The number of detected JavaScript errors that occurred during user actions.

Count
autovalue
builtin:apps.web.jsErrorsWithoutUa

JavaScript error count - without user actions (by user type) [web]

The number of detected standalone JavaScript errors (occurred between user actions).

Count
autovalue
builtin:apps.web.percentageOfUserActionsAffectedByErrors

User action rate - affected by errors (by user type) [web]

The percentage of user actions with detected errors.

Percent (%)
autovalue

Mobile and custom apps

Metric key
Name and description
Unit
Aggregations
builtin:apps.other.apdex.osAndGeo

Apdex (by OS, geolocation) [mobile, custom]

The Apdex rating for all captured user actions.

autovalue
builtin:apps.other.apdex.osAndVersion

Apdex (by OS, app version) [mobile, custom]

The Apdex rating for all captured user actions.

autovalue
builtin:apps.other.crashAffectedUsers.os

User count - estimated users affected by crashes (by OS) [mobile, custom]

The estimated number of unique users affected by a crash. For this high cardinality metric, the HyperLogLog algorithm is used to approximate the number of users.

Count
autovalue
builtin:apps.other.crashAffectedUsers.osAndVersion-std

User count - estimated users affected by crashes (by OS, app version) [mobile, custom]

The estimated number of unique users affected by a crash. For this high cardinality metric, the HyperLogLog algorithm is used to approximate the number of users.

Count
autovalue
builtin:apps.other.crashAffectedUsersRate.os

User rate - estimated users affected by crashes (by OS) [mobile, custom]

The estimated percentage of unique users affected by a crash. For this high cardinality metric, the HyperLogLog algorithm is used to approximate the number of users.

Percent (%)
autovalue
builtin:apps.other.crashCount.osAndGeo

Crash count (by OS, geolocation) [mobile, custom]

The number of detected crashes.

Count
autovalue
builtin:apps.other.crashCount.osAndVersion

Crash count (by OS, app version) [mobile, custom]

The number of detected crashes.

Count
autovalue
builtin:apps.other.crashCount.osAndVersion-std

Crash count (by OS, app version) [mobile, custom]

The number of detected crashes.

Count
autovalue
builtin:apps.other.crashFreeUsersRate.os

User rate - estimated crash free users (by OS) [mobile, custom]

The estimated percentage of unique users not affected by a crash. For this high cardinality metric, the HyperLogLog algorithm is used to approximate the number of users.

Percent (%)
autovalue
builtin:apps.other.keyUserActions.apdexValue.os

Apdex (by key user action, OS) [mobile, custom]

The Apdex rating for all captured key user actions.

autovalue
builtin:apps.other.keyUserActions.count.osAndApdex

Action count (by key user action, OS, Apdex category) [mobile, custom]

The number of captured key user actions.

Count
autovalue
builtin:apps.other.keyUserActions.duration.os

Action duration (by key user action, OS) [mobile, custom]

The duration of key user actions.

Microsecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.other.keyUserActions.reportedErrorCount.os

Reported error count (by key user action, OS) [mobile, custom]

The number of reported errors for key user actions.

Count
autovalue
builtin:apps.other.keyUserActions.requestCount.os

Request count (by key user action, OS) [mobile, custom]

The number of captured web requests associated with key user actions.

Count
autovalue
builtin:apps.other.keyUserActions.requestDuration.os

Request duration (by key user action, OS) [mobile, custom]

The duration of web requests for key user actions. Be aware that this metric is measured in microseconds while other request duration metrics for mobile and custom apps are measured in milliseconds.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.other.keyUserActions.requestErrorCount.os

Request error count (by key user action, OS) [mobile, custom]

The number of detected web request errors for key user actions.

Count
autovalue
builtin:apps.other.keyUserActions.requestErrorRate.os

Request error rate (by key user action, OS) [mobile, custom]

The percentage of web requests with detected errors for key user actions

Percent (%)
autovalue
builtin:apps.other.newUsers.os

New user count (by OS) [mobile, custom]

The number of users that launched the application(s) for the first time. The metric is tied to specific devices, so users are counted multiple times if they install the application on multiple devices. The metric doesn't distinguish between multiple users that share the same device and application installation.

Count
autovalue
builtin:apps.other.requestCount.osAndProvider

Request count (by OS, provider) [mobile, custom]

The number of captured web requests.

Count
autovalue
builtin:apps.other.requestCount.osAndVersion

Request count (by OS, app version) [mobile, custom]

The number of captured web requests.

Count
autovalue
builtin:apps.other.requestErrorCount.osAndProvider

Request error count (by OS, provider) [mobile, custom]

The number of detected web request errors.

Count
autovalue
builtin:apps.other.requestErrorCount.osAndVersion

Request error count (by OS, app version) [mobile, custom]

The number of detected web request errors.

Count
autovalue
builtin:apps.other.requestErrorRate.osAndProvider

Request error rate (by OS, provider) [mobile, custom]

The percentage of web requests with detected errors.

Percent (%)
autovalue
builtin:apps.other.requestErrorRate.osAndVersion

Request error rate (by OS, app version) [mobile, custom]

The percentage of web requests with detected errors.

Percent (%)
autovalue
builtin:apps.other.requestTimes.osAndProvider

Request duration (by OS, provider) [mobile, custom]

The duration of web requests.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.other.requestTimes.osAndVersion

Request duration (by OS, app version) [mobile, custom]

The duration of web requests.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.other.sessionCount.agentVersionAndOs

Session count (by agent version, OS) [mobile, custom]

The number of captured user sessions.

Count
autovalue
builtin:apps.other.sessionCount.osAndCrashReportingLevel

Session count (by OS, crash reporting level) [mobile, custom]

The number of captured user sessions.

Count
autovalue
builtin:apps.other.sessionCount.osAndDataCollectionLevel

Session count (by OS, data collection level) [mobile, custom]

The number of captured user sessions.

Count
autovalue
builtin:apps.other.sessionCount.osAndGeo

Session count - estimated (by OS, geolocation) [mobile, custom]

The estimated number of captured user sessions. For this high cardinality metric, the HyperLogLog algorithm is used to approximate the number of sessions.

Count
autovalue
builtin:apps.other.sessionCount.osAndVersion-std

Session count (by OS, app version) [mobile, custom]

The number of captured user sessions.

Count
autovalue
builtin:apps.other.uaCount.geoAndApdex

Action count (by geolocation, Apdex category) [mobile, custom]

The number of captured user actions.

Count
autovalue
builtin:apps.other.uaCount.osAndApdex

Action count (by OS, Apdex category) [mobile, custom]

The number of captured user actions.

Count
autovalue
builtin:apps.other.uaCount.osAndVersion

Action count (by OS, app version) [mobile, custom]

The number of captured user actions.

Count
autovalue
builtin:apps.other.uaDuration.osAndVersion

Action duration (by OS, app version) [mobile, custom]

The duration of user actions.

Microsecond
autoavgcountmaxmedianminpercentilesum
builtin:apps.other.userCount.osAndGeo

User count - estimated (by OS, geolocation) [mobile, custom]

The estimated number of unique users that have a mapped geolocation. The metric is based on 'internalUserId'. When 'dataCollectionLevel' is set to 'performance' or 'off', 'internalUserId' is changed at each app start. For this high cardinality metric, the HyperLogLog algorithm is used to approximate the number of users.

Count
autovalue
builtin:apps.other.userCount.osAndVersion-std

User count - estimated (by OS, app version) [mobile, custom]

The estimated number of unique users. The metric is based on 'internalUserId'. When 'dataCollectionLevel' is set to 'performance' or 'off', 'internalUserId' is changed at each app start. For this high cardinality metric, the HyperLogLog algorithm is used to approximate the number of users.

Count
autovalue

Billing

Applications

Metric key
Name and description
Unit
Aggregations
builtin:billing.apps.custom.sessionsWithoutReplayByApplication

Session count - billed and unbilled [custom]

The number of billed and unbilled user sessions. To get only the number of billed sessions, set the "Type" filter to "Billed".

Count
autovalue
builtin:billing.apps.custom.userActionPropertiesByDeviceApplication

Total user action and session properties

The number of billed user action and user session properties.

Count
autovalue
builtin:billing.apps.mobile.sessionsWithReplayByApplication

Session count - billed and unbilled - with Session Replay [mobile]

The number of billed and unbilled user sessions that include Session Replay data. To get only the number of billed sessions, set the "Type" filter to "Billed".

Count
autovalue
builtin:billing.apps.mobile.sessionsWithoutReplayByApplication

Session count - billed and unbilled [mobile]

The total number of billed and unbilled user sessions (with and without Session Replay data). To get only the number of billed sessions, set the "Type" filter to "Billed".

Count
autovalue
builtin:billing.apps.mobile.userActionPropertiesByMobileApplication

Total user action and session properties

The number of billed user action and user session properties.

Count
autovalue
builtin:billing.apps.web.sessionsWithReplayByApplication

Session count - billed and unbilled - with Session Replay [web]

The number of billed and unbilled user sessions that include Session Replay data. To get only the number of billed sessions, set the "Type" filter to "Billed".

Count
autovalue
builtin:billing.apps.web.sessionsWithoutReplayByApplication

Session count - billed and unbilled - without Session Replay [web]

The number of billed and unbilled user sessions that do not include Session Replay data. To get only the number of billed sessions, set the "Type" filter to "Billed".

Count
autovalue
builtin:billing.apps.web.userActionPropertiesByApplication

Total user action and session properties

The number of billed user action and user session properties.

Count
autovalue

Custom events classic

Metric key
Name and description
Unit
Aggregations
builtin:billing.custom_events_classic.usage

(DPS) Total Custom Events Classic billing usage

The number of custom events ingested aggregated over all monitored entities. Custom events include events sent to Dynatrace via the Events API or events created by a log event extraction rule. Use this total metric to query longer timeframes without losing precision or performance.

Count
autovalue
builtin:billing.custom_events_classic.usage_by_entity

(DPS) Custom Events Classic billing usage by monitored entity

The number of custom events ingested split by monitored entity. Custom events include events sent to Dynatrace via the Events API or events created by a log event extraction rule. For details on the events billed, refer to the usage_by_event_info metric. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.custom_events_classic.usage_by_event_info

(DPS) Custom Events Classic billing usage by event info

The number of custom events ingested split by event info. Custom events include events sent to Dynatrace via the Events API or events created by a log event extraction rule. The info contains the context of the event plus the configuration ID. For details on the related monitored entities, refer to the usage_by_entity metric. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue

Custom metrics classic

Metric key
Name and description
Unit
Aggregations
builtin:billing.custom_metrics_classic.raw.usage_by_metric_key

(DPS) Recorded metric data points per metric key

The number of reported metric data points split by metric key. This metric does not account for included metric data points available to your environment.

Count
autovalue
builtin:billing.custom_metrics_classic.usage

(DPS) Total billed metric data points

The total number of metric data points after deducting the included metric data points. This is the rate-card value used for billing. Use this total metric to query longer timeframes without losing precision or performance.

Count
autovalue
builtin:billing.custom_metrics_classic.usage.foundation_and_discovery

(DPS) Total metric data points billable for Foundation & Discovery hosts

The number of metric data points billable for Foundation & Discovery hosts.

Count
autovalue
builtin:billing.custom_metrics_classic.usage.fullstack_hosts

(DPS) Total metric data points billed for Full-Stack hosts

The number of metric data points billed for Full-Stack hosts. To view the unadjusted usage per host, use builtin:billing.full_stack_monitoring.metric_data_points.ingested_by_host . This trailing metric is reported at 15-minute intervals with up to a 15-minute delay.

Count
autovalue
builtin:billing.custom_metrics_classic.usage.infrastructure_hosts

(DPS) Total metric data points billed for Infrastructure-monitored hosts

The number of metric data points billed for Infrastructure-monitored hosts. To view the unadjusted usage per host, use builtin:billing.infrastructure_monitoring.metric_data_points.ingested_by_host . This trailing metric is reported at 15-minute intervals with up to a 15-minute delay.

Count
autovalue
builtin:billing.custom_metrics_classic.usage.other

(DPS) Total metric data points billed by other entities

The number of metric data points billed that cannot be assigned to a host. The values reported in this metric are not eligible for included metric deduction and will be billed as is. This trailing metric is reported at 15-minute intervals with up to a 15-minute delay. o view the monitored entities that consume this usage, use the other_by_entity metric.

Count
autovalue
builtin:billing.custom_metrics_classic.usage.other_by_entity

(DPS) Billed metric data points reported and split by other entities

The number of billed metric data points split by entities that cannot be assigned to a host. The values reported in this metric are not eligible for included metric deduction and will be billed as is. This trailing metric is reported at 15-minute intervals with up to a 15-minute delay. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue

Custom traces classic

Metric key
Name and description
Unit
Aggregations
builtin:billing.custom_traces_classic.usage

(DPS) Total Custom Traces Classic billing usage

The number of spans ingested aggregated over all monitored entities. A span is a single operation within a distributed trace, ingested into Dynatrace. Use this total metric to query longer timeframes without losing precision or performance.

Count
autovalue
builtin:billing.custom_traces_classic.usage_by_entity

(DPS) Custom Traces Classic billing usage by monitored entity

The number of spans ingested split by monitored entity. A span is a single operation within a distributed trace, ingested into Dynatrace. For details on span types, refer to the usage_by_span_type metric. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.custom_traces_classic.usage_by_span_type

(DPS) Custom Traces Classic billing usage by span type

The number of spans ingested split by span type. A span is a single operation within a distributed trace, ingested into Dynatrace. Span kinds can be CLIENT, SERVER, PRODUCER, CONSUMER or INTERNAL For details on the related monitored entities, refer to the usage_by_entity metric. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue

DDU

Metric key
Name and description
Unit
Aggregations
builtin:billing.ddu.events.byDescription

DDU events consumption by event info

License consumption of Davis data units by events pool split by event info

autovalue
builtin:billing.ddu.events.byEntity

DDU events consumption by monitored entity

License consumption of Davis data units by events pool split by monitored entity

autovalue
builtin:billing.ddu.events.total

Total DDU events consumption

Sum of license consumption of Davis data units aggregated over all monitored entities for the events pool

autovalue
builtin:billing.ddu.log.byDescription

DDU log consumption by log path

License consumption of Davis data units by log pool split by log path

autovalue
builtin:billing.ddu.log.byEntity

DDU log consumption by monitored entity

License consumption of Davis data units by log pool split by monitored entity

autovalue
builtin:billing.ddu.log.total

Total DDU log consumption

Sum of license consumption of Davis data units aggregated over all logs for the log pool

autovalue
builtin:billing.ddu.metrics.byEntity

DDU metrics consumption by monitored entity

License consumption of Davis data units by metrics pool split by monitored entity

autovalue
builtin:billing.ddu.metrics.byEntityRaw

DDU metrics consumption by monitored entity w/o host-unit included DDUs

License consumption of Davis data units by metrics pool split by monitored entity (aggregates host-unit included metrics, so value might be higher than actual consumption)

autovalue
builtin:billing.ddu.metrics.byMetric

Reported metrics DDUs by metric key

Reported Davis data units usage by metrics pool split by metric key

autovalue
builtin:billing.ddu.metrics.total

Total DDU metrics consumption

Sum of license consumption of Davis data units aggregated over all metrics for the metrics pool

autovalue
builtin:billing.ddu.serverless.byDescription

DDU serverless consumption by function

License consumption of Davis data units by serverless pool split by Amazon Resource Names (ARNs)

autovalue
builtin:billing.ddu.serverless.byEntity

DDU serverless consumption by service

License consumption of Davis data units by serverless pool split by service

autovalue
builtin:billing.ddu.serverless.total

Total DDU serverless consumption

Sum of license consumption of Davis data units aggregated over all services for the serverless pool

autovalue
builtin:billing.ddu.traces.byDescription

DDU traces consumption by span type

License consumption of Davis data units by traces pool split by SpanKind, as defined in OpenTelemetry specification

autovalue
builtin:billing.ddu.traces.byEntity

DDU traces consumption by monitored entity

License consumption of Davis data units by traces pool split by monitored entity

autovalue
builtin:billing.ddu.traces.total

Total DDU traces consumption

Sum of license consumption of Davis data units aggregated over all monitored entities for the traces pool

autovalue
builtin:billing.ddu.includedMetricDduPerHost

DDU included per host

Included Davis data units per host

autovalue
builtin:billing.ddu.includedMetricPerHost

DDU included metric data points per host

Included metric data points per host

autovalue

Events

Metric key
Name and description
Unit
Aggregations
builtin:billing.events.business_events.ingest.usage

[Deprecated] (DPS) Business events usage - Ingest & Process

Business events Ingest & Process usage, tracked as bytes ingested within the hour. This trailing metric is reported hourly for the previous hour. Metric values are reported with up to a one-hour delay. [Deprecated] This metric is replaced by billing usage events.

Byte
autovalue
builtin:billing.events.business_events.query.usage

[Deprecated] (DPS) Business events usage - Query

Business events Query usage, tracked as bytes read within the hour. This trailing metric is reported hourly for the previous hour. Metric values are reported with up to a one-hour delay. [Deprecated] This metric is replaced by billing usage events.

Byte
autovalue
builtin:billing.events.business_events.retain.usage

[Deprecated] (DPS) Business events usage - Retain

Business events Retain usage, tracked as total storage used within the hour, in bytes. This trailing metric is reported hourly for the previous hour. Metric values are reported with up to a one-hour delay. [Deprecated] This metric is replaced by billing usage events.

Byte
autoavgmaxmin

Foundation and discovery

Metric key
Name and description
Unit
Aggregations
builtin:billing.foundation_and_discovery.metric_data_points.ingested

(DPS) Ingested metric data points for Foundation & Discovery

The number of metric data points aggregated over all Foundation & Discovery hosts.

Count
autovalue
builtin:billing.foundation_and_discovery.metric_data_points.ingested_by_host

(DPS) Ingested metric data points for Foundation & Discovery per host

The number of metric data points split by Foundation & Discovery hosts.

Count
autovalue
builtin:billing.foundation_and_discovery.usage

(DPS) Foundation & Discovery billing usage

The total number of host-hours being monitored by Foundation & Discovery, counted in 15 min intervals.

Count
autovalue
builtin:billing.foundation_and_discovery.usage_per_host

(DPS) Foundation & Discovery billing usage per host

The host-hours being monitored by Foundation & Discovery, counted in 15 min intervals.

Count
autovalue

Full stack monitoring

Metric key
Name and description
Unit
Aggregations
builtin:billing.full_stack_monitoring.metric_data_points.included

(DPS) Available included metric data points for Full-Stack hosts

The total number of included metric data points that can be deducted from the metric data points reported by Full-Stack hosts. This trailing metric is reported at 15-minute intervals with up to a 15-minute delay. To view the number of applied included metric data points, use builtin:billing.full_stack_monitoring.metric_data_points.included_used . If the difference between this metric and the applied metrics is greater than 0, then more metrics can be ingested using Full-Stack Monitoring without incurring additional costs.

Count
autovalue
builtin:billing.full_stack_monitoring.metric_data_points.included_used

(DPS) Used included metric data points for Full-Stack hosts

The number of consumed included metric data points per host monitored with Full-Stack Monitoring. This trailing metric is reported at 15-minute intervals with up to a 15-minute delay. To view the number of potentially available included metrics, use builtin:billing.full_stack_monitoring.metric_data_points.included_used . If the difference between this metric and the available metrics is greater than zero, then that means that more metrics could be ingested on Full-Stack hosts without incurring additional costs.

Count
autovalue
builtin:billing.full_stack_monitoring.metric_data_points.ingested

(DPS) Total metric data points reported by Full-Stack hosts

The number of metric data points aggregated over all Full-Stack hosts. The values reported in this metric are eligible for included-metric-data-point deduction. Use this total metric to query longer timeframes without losing precision or performance. This trailing metric is reported at 15-minute intervals with up to a 15-minute delay. To view usage on a per-host basis, use builtin:billing.full_stack_monitoring.metric_data_points.ingested_by_host .

Count
autovalue
builtin:billing.full_stack_monitoring.metric_data_points.ingested_by_host

(DPS) Metric data points reported and split by Full-Stack hosts

The number of metric data points split by Full-Stack hosts. The values reported in this metric are eligible for included-metric-data-point deduction. This trailing metric is reported at 15-minute intervals with up to a 15-minute delay. The pool of available included metrics for a "15-minute interval" is visible via builtin:billing.full_stack_monitoring.metric_data_points.included . To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.full_stack_monitoring.usage

(DPS) Full-Stack Monitoring billing usage

The total GiB memory of hosts being monitored in full-stack mode, counted in 15 min intervals. Use this total metric to query longer timeframes without losing precision or performance. For details on the hosts causing the usage, refer to the usage_per_host metric. For details on the containers causing the usage, refer to the usage_per_container metric.

GibiByte
autovalue
builtin:billing.full_stack_monitoring.usage_per_container

(DPS) Full-stack usage by container type

The total GiB memory of containers being monitored in full-stack mode, counted in 15 min intervals.

GibiByte
autovalue
builtin:billing.full_stack_monitoring.usage_per_host

(DPS) Full-Stack Monitoring billing usage per host

The GiB memory per host being monitored in full-stack mode, counted in 15 min intervals. For example, a host with 8 GiB of RAM monitored for 1 hour has 4 data points with a value of 2. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

GibiByte
autovalue

Infrastructure monitoring

Metric key
Name and description
Unit
Aggregations
builtin:billing.infrastructure_monitoring.metric_data_points.included

(DPS) Available included metric data points for Infrastructure-monitored hosts

The total number of included metric data points that can be deducted from the metric data points reported by Infrastructure-monitored hosts. This trailing metric is reported at 15-minute intervals with up to a 15-minute delay. To view the number of applied included metric data points, use builtin:billing.infrastructure_monitoring.metric_data_points.included_used . If the difference between this metric and the applied metrics is greater than zero, then that means that more metrics could be ingested on Infrastructure-monitored hosts without incurring additional costs.

Count
autovalue
builtin:billing.infrastructure_monitoring.metric_data_points.included_used

(DPS) Used included metric data points for Infrastructure-monitored hosts

The number of consumed included metric data points for Infrastructure-monitored hosts. This trailing metric is reported at 15-minute intervals with up to a 15-minute delay. To view the number of potentially available included metrics, use builtin:billing.infrastructure_monitoring.metric_data_points.included_used . If the difference between this metric and the available metrics is greater than zero, then that means that more metrics could be ingested on Infrastructure-monitored hosts without incurring additional costs.

Count
autovalue
builtin:billing.infrastructure_monitoring.metric_data_points.ingested

(DPS) Total metric data points reported by Infrastructure-monitored hosts

The number of metric data points aggregated over all Infrastructure-monitored hosts. The values reported in this metric are eligible for included-metric-data-point deduction. Use this total metric to query longer timeframes without losing precision or performance. This trailing metric is reported at 15-minute intervals with up to a 15-minute delay. To view usage on a per-host basis, use the builtin:billing.full_stack_monitoring.metric_data_points.ingested_by_host .

Count
autovalue
builtin:billing.infrastructure_monitoring.metric_data_points.ingested_by_host

(DPS) Metric data points reported and split by Infrastructure-monitored hosts

The number of metric data points split by Infrastructure-monitored hosts. The values reported in this metric are eligible for included-metric-data-point deduction. This trailing metric is reported at 15-minute intervals with up to a 15-minute delay. The pool of available included metrics for a "15-minute interval" is visible via builtin:billing.infrastructure_monitoring.metric_data_points.included . To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.infrastructure_monitoring.usage

(DPS) Infrastructure Monitoring billing usage

The total number of host-hours being monitored in infrastructure-only mode, counted in 15 min intervals. Use this total metric to query longer timeframes without losing precision or performance. For details on the hosts causing the usage, refer to the usage_per_host metric.

Count
autovalue
builtin:billing.infrastructure_monitoring.usage_per_host

(DPS) Infrastructure Monitoring billing usage per host

The host-hours being monitored in infrastructure-only mode, counted in 15 min intervals. A host monitored for the whole hour has 4 data points with a value of 0.25, regardless of the memory size. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue

Kubernetes monitoring

Metric key
Name and description
Unit
Aggregations
builtin:billing.kubernetes_monitoring.usage

(DPS) Kubernetes Platform Monitoring billing usage

The total number of monitored Kubernetes pods per hour, split by cluster and namespace and counted in 15 min intervals. A pod monitored for the whole hour has 4 data points with a value of 0.25.

Count
autovalue

Log

Metric key
Name and description
Unit
Aggregations
builtin:billing.log.ingest.usage

(DPS) Log Management and Analytics usage - Ingest & Process

Log Management and Analytics Ingest & Process usage, tracked as bytes ingested within the hour. This trailing metric is reported hourly for the previous hour. Metric values are reported with up to a one-hour delay.

Byte
autovalue
builtin:billing.log.query.usage

(DPS) Log Management and Analytics usage - Query

Log Management and Analytics Query usage, tracked as bytes read within the hour. This trailing metric is reported hourly for the previous hour. Metric values are reported with up to a one-hour delay.

Byte
autovalue
builtin:billing.log.retain.usage

(DPS) Log Management and Analytics usage - Retain

Log Management and Analytics Retain usage, tracked as total storage used within the hour, in bytes. This trailing metric is reported hourly for the previous hour. Metric values are reported with up to a one-hour delay.

Byte
autoavgmaxmin

Log monitoring classic

Metric key
Name and description
Unit
Aggregations
builtin:billing.log_monitoring_classic.usage

(DPS) Total Log Monitoring Classic billing usage

The number of log records ingested aggregated over all monitored entities. A log record is recognized by either a timestamp or a JSON object. Use this total metric to query longer timeframes without losing precision or performance.

Count
autovalue
builtin:billing.log_monitoring_classic.usage_by_entity

(DPS) Log Monitoring Classic billing usage by monitored entity

The number of log records ingested split by monitored entity. A log record is recognized by either a timestamp or a JSON object. For details on the log path, refer to the usage_by_log_path metric. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.log_monitoring_classic.usage_by_log_path

(DPS) Log Monitoring Classic billing usage by log path

The number of log records ingested split by log path. A log record is recognized by either a timestamp or a JSON object. For details on the related monitored entities, refer to the usage_by_entity metric. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue

Mainframe monitoring

Metric key
Name and description
Unit
Aggregations
builtin:billing.mainframe_monitoring.usage

(DPS) Mainframe Monitoring billing usage

The total number of MSU-hours being monitored, counted in 15 min intervals.

MSU
autovalue

Real user monitoring

Metric key
Name and description
Unit
Aggregations
builtin:billing.real_user_monitoring.mobile.property.usage

(DPS) Total Real-User Monitoring Property (mobile) billing usage

(Mobile) User action and session properties count. For details on how usage is calculated, refer to the documentation or builtin:billing.real_user_monitoring.web.property.usage_by_application . Use this total metric to query longer timeframes without losing precision or performance.

Count
autovalue
builtin:billing.real_user_monitoring.mobile.property.usage_by_application

(DPS) Real-User Monitoring Property (mobile) billing usage by application

(Mobile) User action and session properties count by application. The billed value is calculated based on the number of sessions reported in builtin:billing.real_user_monitoring.mobile.session.usage_by_app + builtin:billing.real_user_monitoring.mobile.session_with_replay.usage_by_app . plus the number of configured properties that exceed the included number of properties (free of charge) offered for a given application. Data points are only written for billed sessions. If the value is 0, you have available metric data points. This trailing metric is reported hourly for the previous hour. Metric values are reported with up to a one-hour delay. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.real_user_monitoring.mobile.session.usage

(DPS) Total Real-User Monitoring (mobile) billing usage

(Mobile) Session count without Session Replay. The value billed for each session is the session duration measured in hours. So a 3-hour session results in a single data-point value of 3. If two sessions end during the same minute, then the values are added together. Use this total metric to query longer timeframes without losing precision or performance. To view the application that consume this usage, refer to the usage_by_app metric.

Count
autovalue
builtin:billing.real_user_monitoring.mobile.session.usage_by_app

(DPS) Real-User Monitoring (mobile) billing usage by application

(Mobile) Session count without Session Replay split by application The value billed for each session is the session duration measured in hours. So a 3-hour session results in a single data-point value of 3. If two sessions of the same application end during the same minute, then the values are added together. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.real_user_monitoring.mobile.session_with_replay.usage

(DPS) Total Real-User Monitoring (mobile) with Session Replay billing usage

(Mobile) Session count with Session Replay. The value billed for each session is the session duration measured in hours. So a 3-hour session results in a single data-point value of 3. If two sessions end during the same minute, then the values are added together. Use this total metric to query longer timeframes without losing precision or performance. To view the application that consume this usage, refer to the usage_by_app metric.

Count
autovalue
builtin:billing.real_user_monitoring.mobile.session_with_replay.usage_by_app

(DPS) Real-User Monitoring (mobile) with Session Replay billing usage by application

(Mobile) Session count with Session Replay split by application. The value billed for each session is the session duration measured in hours. So a 3-hour session results in a single data-point value of 3. If two sessions of the same application end during the same minute, then the values are added together. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.real_user_monitoring.web.property.usage

(DPS) Total Real-User Monitoring Property (web) billing usage

(Web) User action and session properties count. For details on how usage is calculated, refer to the documentation or builtin:billing.real_user_monitoring.web.property.usage_by_application . Use this total metric to query longer timeframes without losing precision or performance.

Count
autovalue
builtin:billing.real_user_monitoring.web.property.usage_by_application

(DPS) Real-User Monitoring Property (web) billing usage by application

(Web) User action and session properties count by application. The billed value is calculated based on the number of sessions reported in builtin:billing.real_user_monitoring.web.session.usage_by_app + builtin:billing.real_user_monitoring.web.session_with_replay.usage_by_app . plus the number of configured properties that exceed the included number of properties (free of charge) offered for a given application. Data points are only written for billed sessions. If the value is 0, you have available metric data points. This trailing metric is reported hourly for the previous hour. Metric values are reported with up to a one-hour delay. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.real_user_monitoring.web.session.usage

(DPS) Total Real-User Monitoring (web) billing usage

(Web) Session count without Session Replay. The value billed for each session is the session duration measured in hours. So a 3-hour session results in a single data-point value of 3. If two sessions end during the same minute, then the values are added together. Use this total metric to query longer timeframes without losing precision or performance. To view the application that consume this usage, refer to the usage_by_app metric.

Count
autovalue
builtin:billing.real_user_monitoring.web.session.usage_by_app

(DPS) Real-User Monitoring (web) billing usage by application

(Web) Session count without Session Replay split by application. The value billed for each session is the session duration measured in hours. So a 3-hour session results in a single data-point value of 3. If two sessions of the same application end during the same minute, then the values are added together. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.real_user_monitoring.web.session_with_replay.usage

(DPS) Total Real-User Monitoring (web) with Session Replay billing usage

(Web) Session count with Session Replay. The value billed for each session is the session duration measured in hours. So a 3-hour session results in a single data-point value of 3. If two sessions end during the same minute, then the values are added together. Use this total metric to query longer timeframes without losing precision or performance. To view the application that consume this usage, refer to the usage_by_app metric.

Count
autovalue
builtin:billing.real_user_monitoring.web.session_with_replay.usage_by_app

(DPS) Real-User Monitoring (web) with Session Replay billing usage by application

(Web) Session count with Session Replay split by application. The value billed for each session is the session duration measured in hours. So a 3-hour session results in a single data-point value of 3. If two sessions of the same application end during the same minute, then the values are added together. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue

Runtime application protection

Metric key
Name and description
Unit
Aggregations
builtin:billing.runtime_application_protection.usage

(DPS) Runtime Application Protection billing usage

Total GiB-memory of hosts protected with Runtime Application Protection (Application Security), counted at 15-minute intervals. Use this total metric to query longer timeframes without losing precision or performance. For details on the monitored hosts, refer to the usage_per_host metric.

GibiByte
autovalue
builtin:billing.runtime_application_protection.usage_per_host

(DPS) Runtime Application Protection billing usage per host

GiB-memory per host protected with Runtime Application Protection (Application Security), counted at 15-minute intervals. For example, a host with 8 GiB of RAM monitored for 1 hour has 4 data points with a value of 2. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

GibiByte
autovalue

Runtime vulnerability analytics

Metric key
Name and description
Unit
Aggregations
builtin:billing.runtime_vulnerability_analytics.usage

(DPS) Runtime Vulnerability Analytics billing usage

Total GiB-memory of hosts protected with Runtime Vulnerability Analytics (Application Security), counted at 15-minute intervals. Use this total metric to query longer timeframes without losing precision or performance. For details on the monitored hosts, refer to the usage_per_host metric.

GibiByte
autovalue
builtin:billing.runtime_vulnerability_analytics.usage_per_host

(DPS) Runtime Vulnerability Analytics billing usage per host

GiB-memory per hosts protected with Runtime Vulnerability Analytics (Application Security), counted at 15-minute intervals. For example, a host with 8 GiB of RAM monitored for 1 hour has 4 data points with a value of 2. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

GibiByte
autovalue

Serverless functions classic

Metric key
Name and description
Unit
Aggregations
builtin:billing.serverless_functions_classic.usage

(DPS) Total Serverless Functions Classic billing usage

The number of invocations of the serverless function aggregated over all monitored entities. The term "function invocations" is equivalent to "function requests" or "function executions". Use this total metric to query longer timeframes without losing precision or performance.

Count
autovalue
builtin:billing.serverless_functions_classic.usage_by_entity

(DPS) Serverless Functions Classic billing usage by monitored entity

The number of invocations of the serverless function split by monitored entity. The term "function invocations" is equivalent to "function requests" or "function executions". For details on which functions are invoked, refer to the usage_by_function metric. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.serverless_functions_classic.usage_by_function

(DPS) Serverless Functions Classic billing usage by function

The number of invocations of the serverless function split by function. The term "function invocations" is equivalent to "function requests" or "function executions". For details on the related monitored entities, refer to the usage_by_entity metric. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue

Synthetic

Metric key
Name and description
Unit
Aggregations
builtin:billing.synthetic.actions

Actions

The number of billed actions consumed by browser monitors.

Count
autovalue
builtin:billing.synthetic.actions.usage

(DPS) Total Browser Monitor or Clickpath billing usage

The number of synthetic actions which triggers a web request that includes a page load, navigation event, or action that triggers an XHR or Fetch request. Scroll downs, keystrokes, or clicks that don't trigger web requests aren't counted as such actions. Use this total metric to query longer timeframes without losing precision or performance.

Count
autovalue
builtin:billing.synthetic.actions.usage_by_browser_monitor

(DPS) Browser Monitor or Clickpath billing usage per synthetic browser monitor

The number of synthetic actions which triggers a web request that includes a page load, navigation event, or action that triggers an XHR or Fetch request. Scroll downs, keystrokes, or clicks that don't trigger web requests aren't counted as such actions. Actions are split by the Synthetic Browser Monitors that caused them. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.synthetic.external

Third-party results

The number of billed results consumed by third-party monitors.

Count
autovalue
builtin:billing.synthetic.external.usage

(DPS) Total Third-Party Synthetic API Ingestion billing usage

The number of synthetic test results pushed into Dynatrace with Synthetic 3rd party API. Use this total metric to query longer timeframes without losing precision or performance.

Count
autovalue
builtin:billing.synthetic.external.usage_by_third_party_monitor

(DPS) Third-Party Synthetic API Ingestion billing usage per external browser monitor

The number of synthetic test results pushed into Dynatrace with Synthetic 3rd party API. The ingestions are split by external Synthetic Browser Monitors for which the results where ingested. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue
builtin:billing.synthetic.requests

Requests

The number of billed requests consumed by HTTP monitors.

Count
autovalue
builtin:billing.synthetic.requests.usage

(DPS) Total HTTP monitor billing usage

The number of HTTP requests performed during execution of synthetic HTTP monitor. Use this total metric to query longer timeframes without losing precision or performance.

Count
autovalue
builtin:billing.synthetic.requests.usage_by_http_monitor

(DPS) HTTP monitor billing usage per HTTP monitor

The number of HTTP requests performed, split by synthetic HTTP monitor. To improve performance and avoid exceeding query limits when working with longer timeframes, use the total metric.

Count
autovalue

Cloud

AWS

Metric key
Name and description
Unit
Aggregations
builtin:cloud.aws.az.running

Number of running EC2 instances (AZ)

Count
autoavgmaxmin

Azure

Metric key
Name and description
Unit
Aggregations
builtin:cloud.azure.region.vms.initializing

Number of starting VMs in region

Count
autoavgmaxmin
builtin:cloud.azure.region.vms.running

Number of active VMs in region

Count
autoavgmaxmin
builtin:cloud.azure.region.vms.stopped

Number of stopped VMs in region

Count
autoavgmaxmin
builtin:cloud.azure.vmScaleSet.vms.initializing

Number of starting VMs in scale set

Count
autoavgmaxmin
builtin:cloud.azure.vmScaleSet.vms.running

Number of active VMs in scale set

Count
autoavgmaxmin
builtin:cloud.azure.vmScaleSet.vms.stopped

Number of stopped VMs in scale set

Count
autoavgmaxmin

Cloud Foundry

Metric key
Name and description
Unit
Aggregations
builtin:cloud.cloudfoundry.auctioneer.fetchDuration

CF: Time to fetch cell states

The time that the auctioneer took to fetch state from all the cells when running its auction.

Nanosecond
autoavgmaxmin
builtin:cloud.cloudfoundry.auctioneer.lprFailed

CF: App instance placement failures

The number of application instances that the auctioneer failed to place on Diego cells.

Count
autovalue
builtin:cloud.cloudfoundry.auctioneer.lprStarted

CF: App instance starts

The number of application instances that the auctioneer successfully placed on Diego cells.

Count
autovalue
builtin:cloud.cloudfoundry.auctioneer.taskFailed

CF: Task placement failures

The number of tasks that the auctioneer failed to place on Diego cells.

Count
autovalue
builtin:cloud.cloudfoundry.http.badGateways

CF: 502 responses

The number of responses that indicate invalid service responses produced by an application.

Count
autovalue
builtin:cloud.cloudfoundry.http.latency

CF: Response latency

The average response time from the application to clients.

Millisecond
autoavgmaxmin
builtin:cloud.cloudfoundry.http.responses5xx

CF: 5xx responses

The number of responses that indicate repeatedly crashing apps or response issues from applications.

Count
autovalue
builtin:cloud.cloudfoundry.http.totalRequests

CF: Total requests

The number of all requests representing the overall traffic flow.

Count
autovalue

Openstack

Metric key
Name and description
Unit
Aggregations
builtin:cloud.openstack.vm.cpu.usage

CPU usage

Percent (%)
autoavgmaxmin
builtin:cloud.openstack.vm.disk.allocation

Disk allocation

Byte
autoavgmaxmin
builtin:cloud.openstack.vm.disk.capacity

Disk capacity

Byte
autoavgmaxmin
builtin:cloud.openstack.vm.memory.resident

Memory resident

Byte
autoavgmaxmin
builtin:cloud.openstack.vm.memory.usage

Memory usage

Byte
autoavgmaxmin
builtin:cloud.openstack.vm.net.rx

Network incoming bytes rate

Byte/second
autoavgmaxmin
builtin:cloud.openstack.vm.net.tx

Network outgoing bytes rate

Byte/second
autoavgmaxmin

VMware

Metric key
Name and description
Unit
Aggregations
builtin:cloud.vmware.hypervisor.cpu.usage

Host CPU usage %

Percent (%)
autoavgmaxmin
builtin:cloud.vmware.hypervisor.disk.usage

Host disk usage rate

kB/s
autoavgmaxmin
builtin:cloud.vmware.hypervisor.hostdisk.commandsAborted

Host disk commands aborted

Count
autovalue
builtin:cloud.vmware.hypervisor.hostdisk.queueLatency

Host disk queue latency

Millisecond
autoavgmaxmin
builtin:cloud.vmware.hypervisor.hostdisk.rIops

Host disk read IOPS

Per second
autoavgmaxmin
builtin:cloud.vmware.hypervisor.hostdisk.readLatency

Host disk read latency

Millisecond
autoavgmaxmin
builtin:cloud.vmware.hypervisor.hostdisk.readRate

Host disk read rate

kB/s
autoavgmaxmin
builtin:cloud.vmware.hypervisor.hostdisk.wIops

Host disk write IOPS

Per second
autoavgmaxmin
builtin:cloud.vmware.hypervisor.hostdisk.writeLatency

Host disk write latency

Millisecond
autoavgmaxmin
builtin:cloud.vmware.hypervisor.hostdisk.writeRate

Host disk write rate

kB/s
autoavgmaxmin
builtin:cloud.vmware.hypervisor.mem.compressionRate

Host compression rate

Kibibyte/second
autoavgmaxmin
builtin:cloud.vmware.hypervisor.mem.consumed

Host memory consumed

Kibibyte
autoavgmaxmin
builtin:cloud.vmware.hypervisor.mem.decompressionRate

Host decompression rate

Kibibyte/second
autoavgmaxmin
builtin:cloud.vmware.hypervisor.mem.swapIn

Host swap in rate

Kibibyte/second
autoavgmaxmin
builtin:cloud.vmware.hypervisor.mem.swapOut

Host swap out rate

Kibibyte/second
autoavgmaxmin
builtin:cloud.vmware.hypervisor.net.rx

Host network data received rate

kB/s
autoavgmaxmin
builtin:cloud.vmware.hypervisor.net.tx

Host network data transmitted rate

kB/s
autoavgmaxmin
builtin:cloud.vmware.hypervisor.nic.dataRx

Data received rate

kB/s
autoavgmaxmin
builtin:cloud.vmware.hypervisor.nic.dataTx

Data transmitted rate

kB/s
autoavgmaxmin
builtin:cloud.vmware.hypervisor.nic.packetsRxDropped

Packets received dropped

Count
autovalue
builtin:cloud.vmware.hypervisor.nic.packetsTxDropped

Packets transmitted dropped

Count
autovalue
builtin:cloud.vmware.hypervisor.vms.count

Number of VMs

Count
autoavgmaxmin
builtin:cloud.vmware.hypervisor.vms.powerOff

Number of VMs powered-off

Count
autoavgmaxmin
builtin:cloud.vmware.hypervisor.vms.suspended

Number of VMs suspended

Count
autoavgmaxmin
builtin:cloud.vmware.hypervisor.availability

Host availability %

Percent (%)
autoavg
builtin:cloud.vmware.vm.cpu.readyPerc

VM CPU ready %

Percent (%)
autoavgmaxmin
builtin:cloud.vmware.vm.cpu.swapWait

VM swap wait

Millisecond
autovalue
builtin:cloud.vmware.vm.cpu.usage

VM CPU usage MHz

Count
autoavgmaxmin
builtin:cloud.vmware.vm.cpu.usagePerc

VM CPU usage %

Percent (%)
autoavgmaxmin
builtin:cloud.vmware.vm.disk.usage

VM disk usage rate

kB/s
autoavgmaxmin
builtin:cloud.vmware.vm.mem.active

VM memory active

Kibibyte
autoavgmaxmin
builtin:cloud.vmware.vm.mem.compressionRate

VM compression rate

Kibibyte/second
autoavgmaxmin
builtin:cloud.vmware.vm.mem.consumed

VM memory consumed

Kibibyte
autoavgmaxmin
builtin:cloud.vmware.vm.mem.decompressionRate

VM decompression rate

Kibibyte/second
autoavgmaxmin
builtin:cloud.vmware.vm.mem.swapIn

VM swap in rate

Kibibyte/second
autoavgmaxmin
builtin:cloud.vmware.vm.mem.swapOut

VM swap out rate

Kibibyte/second
autoavgmaxmin
builtin:cloud.vmware.vm.net.rx

VM network data received rate

kB/s
autoavgmaxmin
builtin:cloud.vmware.vm.net.tx

VM network data transmitted rate

kB/s
autoavgmaxmin

Containers

CPU

Metric key
Name and description
Unit
Aggregations
builtin:containers.cpu.limit

Containers: CPU limit, mCores

CPU resource limit per container in millicores.

Millicores
autoavgmaxmin
builtin:containers.cpu.logicalCores

Containers: CPU logical cores

Number of logical CPU cores of the host.

Cores
autoavgmaxmin
builtin:containers.cpu.shares

Containers: CPU shares

Number of CPU shares allocated per container.

Count
autoavgmaxmin
builtin:containers.cpu.throttledMilliCores

Containers: CPU throttling, mCores

CPU throttling per container in millicores.

Millicores
autoavgmaxmin
builtin:containers.cpu.throttledTime

Containers: CPU throttled time, ns/min

Total amount of time a container has been throttled, in nanoseconds per minute.

Nanosecond/minute
autoavgmaxmin
builtin:containers.cpu.usageMilliCores

Containers: CPU usage, mCores

CPU usage per container in millicores

Millicores
autoavgmaxmin
builtin:containers.cpu.usagePercent

Containers: CPU usage, % of limit

Percent CPU usage per container relative to CPU resource limit. Logical cores are used if CPU limit isn't set.

Percent (%)
autoavgmaxmin
builtin:containers.cpu.usageSystemMilliCores

Containers: CPU system usage, mCores

CPU system usage per container in millicores.

Millicores
autoavgmaxmin
builtin:containers.cpu.usageSystemTime

Containers: CPU system usage time, ns/min

Used system time per container in nanoseconds per minute.

Nanosecond/minute
autoavgmaxmin
builtin:containers.cpu.usageTime

Containers: CPU usage time, ns/min

Sum of used system and user time per container in nanoseconds per minute.

Nanosecond/minute
autoavgmaxmin
builtin:containers.cpu.usageUserMilliCores

Containers: CPU user usage, mCores

CPU user usage per container in millicores.

Millicores
autoavgmaxmin
builtin:containers.cpu.usageUserTime

Containers: CPU user usage time, ns/min

Used user time per container in nanoseconds per minute.

Nanosecond/minute
autoavgmaxmin

Memory

Metric key
Name and description
Unit
Aggregations
builtin:containers.memory.cacheBytes

Containers: Memory cache, bytes

Page cache memory per container in bytes.

Byte
autoavgmaxmin
builtin:containers.memory.limitBytes

Containers: Memory limit, bytes

Memory limit per container in bytes. If no limit is set, this is an empty value.

Byte
autoavgmaxmin
builtin:containers.memory.limitPercent

Containers: Memory limit, % of physical memory

Percent memory limit per container relative to total physical memory. If no limit is set, this is an empty value.

Percent (%)
autoavg
builtin:containers.memory.outOfMemoryKills

Containers: Memory - out of memory kills

Number of out of memory kills for a container.

Count
autovalue
builtin:containers.memory.physicalTotalBytes

Containers: Memory - total physical memory, bytes

Total physical memory on the host in bytes.

Byte
autoavgmaxmin
builtin:containers.memory.residentSetBytes

Containers: Memory usage, bytes

Resident set size (Linux) or private working set size (Windows) per container in bytes.

Byte
autoavgmaxmin
builtin:containers.memory.usagePercent

Containers: Memory usage, % of limit

Resident set size (Linux) or private working set size (Windows) per container in percent relative to container memory limit. If no limit is set, this equals total physical memory.

Percent (%)
autoavgmaxmin

Other containers metrics

Metric key
Name and description
Unit
Aggregations
builtin:containers.bytes_rx2

Container bytes received

Byte/second
autoavgcountmaxminsum
builtin:containers.bytes_tx2

Container bytes transmitted

Byte/second
autoavgcountmaxminsum
builtin:containers.cpu_usage2

Container cpu usage

Percent (%)
autoavgcountmaxminsum
builtin:containers.devicemapper_data_space_available

Devicemapper data space available

Byte
autoavgcountmaxminsum
builtin:containers.devicemapper_data_space_used

Devicemapper data space used

Byte
autoavgcountmaxminsum
builtin:containers.devicemapper_metadata_space_available

Devicemapper meta-data space available

Byte
autoavgcountmaxminsum
builtin:containers.devicemapper_metadata_space_used

Devicemapper meta-data space used

Byte
autoavgcountmaxminsum
builtin:containers.memory_percent

Memory percent

Percent (%)
autoavgcountmaxminsum
builtin:containers.memory_usage2

Container memory usage

Byte
autoavgcountmaxminsum
builtin:containers.no_of_containers_launched

Number of containers launched

Count
autoavgcountmaxminsum
builtin:containers.no_of_containers_per_pgi

Number of containers running

Count
autoavgcountmaxminsum
builtin:containers.no_of_containers_running

Number of containers running

Count
autoavgcountmaxminsum
builtin:containers.no_of_containers_terminated

Number of containers terminated

Count
autoavgcountmaxminsum
builtin:containers.throttled_time2

Container throttled time

Millisecond
autoavgcountmaxminsum

Dashboards

Other dashboards metrics

Metric key
Name and description
Unit
Aggregations
builtin:dashboards.viewCount

Dashboard view count

Count
autovalue

Infrastructure

Availability

Metric key
Name and description
Unit
Aggregations
builtin:host.availability.state

Host availability

Host availability state metric reported in 1 minute intervals

Count
autovalue

CPU

Metric key
Name and description
Unit
Aggregations
builtin:host.cpu.gcpu.usage

z/OS General CPU usage

The percent of the general-purpose central processor (GCP) used

Percent (%)
autoavgmaxmin
builtin:host.cpu.msu.avg

z/OS Rolling 4 hour MSU average

The 4h average of consumed million service units on this LPAR

MSU
autoavgmaxmin
builtin:host.cpu.msu.capacity

z/OS MSU capacity

The over all capacity of million service units on this LPAR

MSU
autoavgmaxmin
builtin:host.cpu.ziip.eligible

z/OS zIIP eligible time

The zIIP eligible time spent on the general-purpose central processor (GCP) after process start per minute

Second
autoavgmaxmin
builtin:host.cpu.entConfig

AIX Entitlement configured

Capacity Entitlement is the number of virtual processors assigned to the AIX partition. It’s measured in fractions of processor equal to 0.1 or 0.01. For more information about entitlement, see Assigning the appropriate processor entitled capacity in official IMB documentation.

Ratio
autoavgmaxmin
builtin:host.cpu.entc

AIX Entitlement used

Percentage of entitlement used. Capacity Entitlement is the number of virtual cores assigned to the AIX partition. See For more information about entitlement, see Assigning the appropriate processor entitled capacity in official IMB documentation.

Percent (%)
autoavgmaxmin
builtin:host.cpu.idle

CPU idle

Average CPU time, when the CPU didn't have anything to do

Percent (%)
autoavgmaxmin
builtin:host.cpu.iowait

CPU I/O wait

Percentage of time when CPU was idle during which the system had an outstanding I/O request. It is not available on Windows.

Percent (%)
autoavgmaxmin
builtin:host.cpu.load

System load

The average number of processes that are being executed by CPU or waiting to be executed by CPU over the last minute

Ratio
autoavgmaxmin
builtin:host.cpu.load15m

System load15m

The average number of processes that are being executed by CPU or waiting to be executed by CPU over the last 15 minutes

Ratio
autoavgmaxmin
builtin:host.cpu.load5m

System load5m

The average number of processes that are being executed by CPU or waiting to be executed by CPU over the last 5 minutes

Ratio
autoavgmaxmin
builtin:host.cpu.other

CPU other

Average CPU time spent on other tasks: servicing interrupt requests (IRQ), running virtual machines under the control of the host's kernel (It means the host is a hypervisor for VMs). It's available only for Linux hosts

Percent (%)
autoavgmaxmin
builtin:host.cpu.physc

AIX Physical consumed

Total CPUs consumed by the AIX partition

Ratio
autoavgmaxmin
builtin:host.cpu.steal

CPU steal

Average CPU time, when a virtual machine waits to get CPU cycles from the hypervisor. In a virtual environment, CPU cycles are shared across virtual machines on the hypervisor server. If your virtualized host displays a high CPU steal, it means CPU cycles are being taken away from your virtual machine to serve other purposes. It may indicate an overloaded hypervisor. It's available only for Linux hosts

Percent (%)
autoavgmaxmin
builtin:host.cpu.system

CPU system

Average CPU time when CPU was running in kernel mode

Percent (%)
autoavgmaxmin
builtin:host.cpu.usage

CPU usage %

Percentage of CPU time when CPU was utilized. A value close to 100% means most host processing resources are in use, and host CPUs can’t handle additional work

Percent (%)
autoavgmaxmin
builtin:host.cpu.user

CPU user

Average CPU time when CPU was running in user mode

Percent (%)
autoavgmaxmin

DNS

Metric key
Name and description
Unit
Aggregations
builtin:host.dns.errorCount

Number of DNS errors by type

The number of DNS errors by type

Count
autoavgcountmaxminsum
builtin:host.dns.orphanCount

Number of orphaned DNS responses

The number of orphaned DNS responses on the host

Count
autoavgcountmaxminsum
builtin:host.dns.queryCount

Number of DNS queries

The number of DNS queries on the host

Count
autoavgcountmaxminsum
builtin:host.dns.queryTime

DNS query time sum

The time of all DNS queries on the host

Millisecond
autoavgcountmaxminsum
builtin:host.dns.singleQueryTime

DNS query time

The average time of DNS query. Calculated with DNS query time sum divided by number of DNS queries for each host and dns server pair.

Millisecond
autoavgmaxmin
builtin:host.dns.singleQueryTimeByDnsIp

DNS query time by DNS server

The weighted average time of DNS query by DNS server ip. Calculated with DNS query time sum divided by number of DNS queries. It weights the result taking into account number of requests from each host.

Millisecond
autoavgmaxmin
builtin:host.dns.singleQueryTimeByHost

DNS query time on host

The weighted average time of DNS query on a host. Calculated with DNS query time sum divided by number of DNS queries on a host. It weights the result taking into account number of requests to each dns server

Millisecond
autoavgmaxmin

Disk

Metric key
Name and description
Unit
Aggregations
builtin:host.disk.throughput.read

Disk throughput read

File system read throughput in bits per second

bit/s
autoavgmaxmin
builtin:host.disk.throughput.write

Disk throughput write

File system write throughput in bits per second

bit/s
autoavgmaxmin
builtin:host.disk.avail

Disk available

Amount of free space available for user in file system. On Linux and AIX it is free space available for unprivileged user. It doesn't contain part of free space reserved for the root.

Byte
autoavgmaxmin
builtin:host.disk.bytesRead

Disk read bytes per second

Speed of read from file system in bytes per second

Byte/second
autoavgmaxmin
builtin:host.disk.bytesWritten

Disk write bytes per second

Speed of write to file system in bytes per second

Byte/second
autoavgmaxmin
builtin:host.disk.free

Disk available %

Percentage of free space available for user in file system. On Linux and AIX it is % of free space available for unprivileged user. It doesn't contain part of free space reserved for the root.

Percent (%)
autoavgmaxmin
builtin:host.disk.inodesAvail

Inodes available %

Percentage of free inodes available for unprivileged user in file system. Metric not available on Windows.

Percent (%)
autoavgmaxmin
builtin:host.disk.inodesTotal

Inodes total

Total amount of inodes available for unprivileged user in file system. Metric not available on Windows.

Count
autoavgmaxmin
builtin:host.disk.queueLength

Disk average queue length

Average number of read and write operations in disk queue

Count
autoavgmaxmin
builtin:host.disk.readOps

Disk read operations per second

Number of read operations from file system per second

Per second
autoavgmaxmin
builtin:host.disk.readTime

Disk read time

Average time of read from file system. It shows average disk latency during read.

Millisecond
autoavgcountmaxminsum
builtin:host.disk.used

Disk used

Amount of used space in file system

Byte
autoavgmaxmin
builtin:host.disk.usedPct

Disk used %

Percentage of used space in file system

Percent (%)
autoavgmaxmin
builtin:host.disk.utilTime

Disk utilization time

Percent of time spent on disk I/O operations

Percent (%)
autoavgmaxmin
builtin:host.disk.writeOps

Disk write operations per second

Number of write operations to file system per second

Per second
autoavgmaxmin
builtin:host.disk.writeTime

Disk write time

Average time of write to file system. It shows average disk latency during write.

Millisecond
autoavgcountmaxminsum

Handles

Metric key
Name and description
Unit
Aggregations
builtin:host.handles.fileDescriptorsMax

File descriptors max

Maximum amount of file descriptors for use

Count
autoavgmaxmin
builtin:host.handles.fileDescriptorsUsed

File descriptors used

Amount of file descriptors used

Count
autoavgmaxmin

Kernel threads

Metric key
Name and description
Unit
Aggregations
builtin:host.kernelThreads.blocked

AIX Kernel threads blocked

Length of the swap queue. The swap queue contains the threads ready to run but swapped out with the currently running threads

Count
autoavgmaxmin
builtin:host.kernelThreads.ioEventWait

AIX Kernel threads I/O event wait

Number of threads that are waiting for file system direct (cio) + Number of processes that are asleep waiting for buffered I/O

Count
autoavgmaxmin
builtin:host.kernelThreads.ioMessageWait

AIX Kernel threads I/O message wait

Number of threads that are sleeping and waiting for raw I/O operations at a particular time. Raw I/O operation allows applications to direct write to the Logical Volume Manager (LVM) layer

Count
autoavgmaxmin
builtin:host.kernelThreads.running

AIX Kernel threads runnable

Number of runnable threads (running or waiting for run time) (threads ready). The average number of runnable threads is seen in the first column of the vmstat command output

Count
autoavgmaxmin

Memory

Metric key
Name and description
Unit
Aggregations
builtin:host.mem.avail.bytes

Memory available

The amount of memory (RAM) available on the host. The memory that is available for allocation to new or existing processes. Available memory is an estimation of how much memory is available for use without swapping.

Byte
autoavgmaxmin
builtin:host.mem.avail.pct

Memory available %

The percentage of memory (RAM) available on the host. The memory that is available for allocation to new or existing processes. Available memory is an estimation of how much memory is available for use without swapping. Shows available memory as percentages.

Percent (%)
autoavgmaxmin
builtin:host.mem.avail.pfps

Page faults per second

The measure of the number of page faults per second on the monitored host. This value includes soft faults and hard faults.

Per second
autoavgmaxmin
builtin:host.mem.swap.avail

Swap available

The amount of swap memory or swap space (also known as paging, which is the on-disk component of the virtual memory system) available.

Byte
autoavgmaxmin
builtin:host.mem.swap.total

Swap total

Amount of total swap memory or total swap space (also known as paging, which is the on-disk component of the virtual memory system) for use.

Byte
autovalue
builtin:host.mem.swap.used

Swap used

The amount of swap memory or swap space (also known as paging, which is the on-disk component of the virtual memory system) used.

Byte
autoavgmaxmin
builtin:host.mem.kernel

Kernel memory

The memory used by the system kernel. It includes memory used by core components of OS along with any device drivers.Typically, the number will be very small.

Byte
autoavgmaxmin
builtin:host.mem.recl

Memory reclaimable

The memory usage for specific purposes. Reclaimable memory is calculated as available memory (estimation of how much memory is available for use without swapping) minus free memory (amount of memory that is currently not used for anything). For more information on reclaimable memory, see this blog post.

Byte
autoavgmaxmin
builtin:host.mem.total

Memory total

The amount of memory (RAM) installed on the system.

Byte
autovalue
builtin:host.mem.usage

Memory used %

Shows percentage of memory currently used. Used memory is calculated by OneAgent as follows: used = total – available. So the used memory metric displayed in Dynatrace analysis views is not equal to the used memory metric displayed by system tools. At the same time, it’s important to remember that system tools report used memory the way they do due to historical reasons, and that this particular method of calculating used memory isn’t really representative of how the Linux kernel manages memory in modern systems. The difference in these measurements is in fact quite significant, too. Note: Calculated by taking 100% - "Memory available %".

Percent (%)
autoavgmaxmin
builtin:host.mem.used

Memory used

Used memory is calculated by OneAgent as follows: used = total – available. So the used memory metric displayed in Dynatrace analysis views is not equal to the used memory metric displayed by system tools. At the same time, it’s important to remember that system tools report used memory the way they do due to historical reasons, and that this particular method of calculating used memory isn’t really representative of how the Linux kernel manages memory in modern systems. The difference in these measurements is in fact quite significant, too.

Byte
autoavgmaxmin

Network

Metric key
Name and description
Unit
Aggregations
builtin:host.net.nic.packets.dropped

NIC packets dropped

Network interface packets dropped on the host

Per second
autovalue
builtin:host.net.nic.packets.droppedRx

NIC received packets dropped

Network interface received packets dropped on the host

Per second
autoavgmaxmin
builtin:host.net.nic.packets.droppedTx

NIC sent packets dropped

Network interface sent packets dropped on the host

Per second
autoavgmaxmin
builtin:host.net.nic.packets.errors

NIC packet errors

Network interface packet errors on the host

Per second
autovalue
builtin:host.net.nic.packets.errorsRx

NIC received packet errors

Network interface received packet errors on a host

Per second
autoavgmaxmin
builtin:host.net.nic.packets.errorsTx

NIC sent packet errors

Network interface sent packet errors on the host

Per second
autoavgmaxmin
builtin:host.net.nic.packets.rx

NIC packets received

Network interface packets received on the host

Per second
autoavgmaxmin
builtin:host.net.nic.packets.tx

NIC packets sent

Network interface packets sent on the host

Per second
autoavgmaxmin
builtin:host.net.nic.bytesRx

NIC bytes received

Network interface bytes received on the host

Byte/second
autoavgmaxmin
builtin:host.net.nic.bytesTx

NIC bytes sent on host

Network interface bytes sent on the host

Byte/second
autoavgmaxmin
builtin:host.net.nic.connectivity

NIC connectivity

Network interface connectivity on the host

Percent (%)
autoavgmaxmin
builtin:host.net.nic.linkUtilRx

NIC receive link utilization

Network interface receive link utilization on the host

Percent (%)
autoavgmaxmin
builtin:host.net.nic.linkUtilTx

NIC transmit link utilization

Network interface transmit link utilization on the host

Percent (%)
autoavgmaxmin
builtin:host.net.nic.retransmission

NIC retransmission

Network interface retransmission on the host

Percent (%)
autoavgmaxmin
builtin:host.net.nic.retransmissionIn

NIC received packets retransmission

Network interface retransmission for received packets on the host

Percent (%)
autoavgmaxmin
builtin:host.net.nic.retransmissionOut

NIC sent packets retransmission

Network interface retransmission for sent packets on the host

Percent (%)
autoavgmaxmin
builtin:host.net.nic.traffic

Traffic

Network traffic on the host

bit/s
autovalue
builtin:host.net.nic.trafficIn

Traffic in

Traffic incoming at the host

bit/s
autoavgmaxmin
builtin:host.net.nic.trafficOut

Traffic out

Traffic outgoing from the host

bit/s
autoavgmaxmin
builtin:host.net.packets.rxBaseReceived

Host retransmission base received

Host aggregated process retransmission base received per second

Per second
autoavgmaxmin
builtin:host.net.packets.rxBaseSent

Host retransmission base sent

Host aggregated process retransmission base sent per second

Per second
autoavgmaxmin
builtin:host.net.packets.rxReceived

Host retransmitted packets received

Host aggregated process retransmitted packets received per second

Per second
autoavgmaxmin
builtin:host.net.packets.rxSent

Host retransmitted packets sent

Host aggregated process retransmitted packets sent per second

Per second
autoavgmaxmin
builtin:host.net.sessions.local.errRst

Localhost session reset received

Host aggregated session reset received per second on localhost

Per second
autoavgmaxmin
builtin:host.net.sessions.local.errTmout

Localhost session timeout received

Host aggregated session timeout received per second on localhost

Per second
autoavgmaxmin
builtin:host.net.sessions.local.new

Localhost new session received

Host aggregated new session received per second on localhost

Per second
autoavgmaxmin
builtin:host.net.sessions.errRst

Host session reset received

Host aggregated process session reset received per second

Per second
autoavgmaxmin
builtin:host.net.sessions.errTmout

Host session timeout received

Host aggregated process session timeout received per second

Per second
autoavgmaxmin
builtin:host.net.sessions.new

Host new session received

Host aggregated process new session received per second

Per second
autoavgmaxmin
builtin:host.net.bytesRx

Host bytes received

Host aggregated process bytes received per second

Byte/second
autoavgmaxmin
builtin:host.net.bytesTx

Host bytes sent

Host aggregated process bytes sent per second

Byte/second
autoavgmaxmin

OS service

Metric key
Name and description
Unit
Aggregations
builtin:host.osService.availability

OS Service availability

This metric provides the status of the OS service. If the OS service is running, the OS module is reporting "1" as a value of the metric. In any other case, the metric has a value of "0"Note that this metric provides data only from Classic Windows services monitoring (supported only on Windows), currently replaced by the new OS Services monitoring. To learn more, see Classic Windows services monitoring.

Count
autoavgmaxmin

Processes

Metric key
Name and description
Unit
Aggregations
builtin:host.osProcessStats.osProcessCount

OS Process count

This metric shows an average number of processes, over one minute, running on the host. The reported number of processes is based on processes detected by the OS module, read in 10 seconds cycles.

Count
autoavgmaxmin
builtin:host.osProcessStats.pgiCount

PGI count

This metric shows the number of PGIs created by the OS module every minute. It includes every PGI, even those which are considered not important and are not reported to Dynatrace.

Count
autoavgmaxmin
builtin:host.osProcessStats.pgiReportedCount

Reported PGI count

This metric shows the number of PGIs created and reported by the OS module every minute. It includes only PGIs, which are considered important and reported to Dynatrace. Important PGIs are those in which OneAgent recognizes the technology, have open network ports, generate significant resource usage, or are created via Declarative process grouping rules. To learn what makes process important, see Which are the most important processes?

Count
autoavgmaxmin

z/OS

Metric key
Name and description
Unit
Aggregations
builtin:host.zos.gcpu_time

z/OS General CPU time

Total General CPU time per minute

Count
autoavgcountmaxminsum
builtin:host.zos.msu_hours

z/OS Consumed MSUs per SMF interval (SMF70EDT)

Number of consumed MSUs per SMF interval (SMF70EDT)

Count
autoavgcountmaxminsum
builtin:host.zos.ziip_time

z/OS zIIP time

Total zIIP time per minute

Count
autoavgcountmaxminsum
builtin:host.zos.ziip_usage

z/OS zIIP usage

Actively used zIIP as a percentage of available zIIP

Count
autoavgcountmaxminsum

Other infrastructure metrics

Metric key
Name and description
Unit
Aggregations
builtin:host.availability

Host availability %

Host availability %

Percent (%)
autoavg
builtin:host.uptime

Host uptime

Time since last host boot up. Requires OneAgent 1.259+. The metric is not supported for application-only OneAgent deployments.

Second
autoavgmaxmin

Kubernetes

Cluster

Metric key
Name and description
Unit
Aggregations
builtin:kubernetes.cluster.readyz

Kubernetes: Cluster readyz status

Current status of the Kubernetes API server reported by the /readyz endpoint (0 or 1).

autoavgmaxmin

Container

Metric key
Name and description
Unit
Aggregations
builtin:kubernetes.container.oom_kills

Kubernetes: Container - out of memory (OOM) kill count

This metric measures the out of memory (OOM) kills. The most detailed level of aggregation is container. The value corresponds to the status 'OOMKilled' of a container in the pod resource's container status. The metric is only written if there was at least one container OOM kill.

Count
autovalue
builtin:kubernetes.container.restarts

Kubernetes: Container - restart count

This metric measures the amount of container restarts. The most detailed level of aggregation is container. The value corresponds to the delta of the 'restartCount' defined in the pod resource's container status. The metric is only written if there was at least one container restart.

Count
autovalue

Node

Metric key
Name and description
Unit
Aggregations
builtin:kubernetes.node.conditions

Kubernetes: Node conditions

This metric describes the status of a Kubernetes node. The most detailed level of aggregation is node.

Count
autoavgmaxmin
builtin:kubernetes.node.cpu_allocatable

Kubernetes: Node - CPU allocatable

This metric measures the total allocatable cpu. The most detailed level of aggregation is node. The value corresponds to the allocatable cpu of a node.

Millicores
autoavgmaxmin
builtin:kubernetes.node.cpu_throttled

Kubernetes: Container - CPU throttled (by node)

This metric measures the total CPU throttling by container. The most detailed level of aggregation is node.

Millicores
autoavgmaxmin
builtin:kubernetes.node.cpu_usage

Kubernetes: Container - CPU usage (by node)

This metric measures the total CPU consumed (user usage + system usage) by container. The most detailed level of aggregation is node.

Millicores
autoavgmaxmin
builtin:kubernetes.node.limits_cpu

Kubernetes: Pod - CPU limits (by node)

This metric measures the cpu limits. The most detailed level of aggregation is node. The value is the sum of the cpu limits of all app containers of a pod.

Millicores
autoavgmaxmin
builtin:kubernetes.node.limits_memory

Kubernetes: Pod - memory limits (by node)

This metric measures the memory limits. The most detailed level of aggregation is node. The value is the sum of the memory limits of all app containers of a pod.

Byte
autoavgmaxmin
builtin:kubernetes.node.memory_allocatable

Kubernetes: Node - memory allocatable

This metric measures the total allocatable memory. The most detailed level of aggregation is node. The value corresponds to the allocatable memory of a node.

Byte
autoavgmaxmin
builtin:kubernetes.node.memory_working_set

Kubernetes: Container - Working set memory (by node)

This metric measures the current working set memory (memory that cannot be reclaimed under pressure) by container. The OOM Killer is invoked if the working set exceeds the limit. The most detailed level of aggregation is node.

Byte
autoavgmaxmin
builtin:kubernetes.node.pods

Kubernetes: Pod count (by node)

This metric measures the number of pods. The most detailed level of aggregation is node. The value corresponds to the count of all pods.

Count
autoavgmaxmin
builtin:kubernetes.node.pods_allocatable

Kubernetes: Node - pod allocatable count

This metric measures the total number of allocatable pods. The most detailed level of aggregation is node. The value corresponds to the allocatable pods of a node.

Count
autoavgmaxmin
builtin:kubernetes.node.requests_cpu

Kubernetes: Pod - CPU requests (by node)

This metric measures the cpu requests. The most detailed level of aggregation is node. The value is the sum of the cpu requests of all app containers of a pod.

Millicores
autoavgmaxmin
builtin:kubernetes.node.requests_memory

Kubernetes: Pod - memory requests (by node)

This metric measures the memory requests. The most detailed level of aggregation is node. The value is the sum of the memory requests of all app containers of a pod.

Byte
autoavgmaxmin

Persistentvolumeclaim

Metric key
Name and description
Unit
Aggregations
builtin:kubernetes.persistentvolumeclaim.available

Kubernetes: PVC - available

This metric measures the number of available bytes in the volume. The most detailed level of aggregation is persistent volume claim.

Byte
autoavgmaxmin
builtin:kubernetes.persistentvolumeclaim.capacity

Kubernetes: PVC - capacity

This metric measures the capacity in bytes of the volume. The most detailed level of aggregation is persistent volume claim.

Byte
autoavgmaxmin
builtin:kubernetes.persistentvolumeclaim.used

Kubernetes: PVC - used

This metric measures the number of used bytes in the volume. The most detailed level of aggregation is persistent volume claim.

Byte
autoavgmaxmin

Resource Quota

Metric key
Name and description
Unit
Aggregations
builtin:kubernetes.resourcequota.limits_cpu

Kubernetes: Resource quota - CPU limits

This metric measures the cpu limit quota. The most detailed level of aggregation is resource quota. The value corresponds to the cpu limits of a resource quota.

Millicores
autoavgmaxmin
builtin:kubernetes.resourcequota.limits_cpu_used

Kubernetes: Resource quota - CPU limits used

This metric measures the used cpu limit quota. The most detailed level of aggregation is resource quota. The value corresponds to the used cpu limits of a resource quota.

Millicores
autoavgmaxmin
builtin:kubernetes.resourcequota.limits_memory

Kubernetes: Resource quota - memory limits

This metric measures the memory limit quota. The most detailed level of aggregation is resource quota. The value corresponds to the memory limits of a resource quota.

Byte
autoavgmaxmin
builtin:kubernetes.resourcequota.limits_memory_used

Kubernetes: Resource quota - memory limits used

This metric measures the used memory limits quota. The most detailed level of aggregation is resource quota. The value corresponds to the used memory limits of a resource quota.

Byte
autoavgmaxmin
builtin:kubernetes.resourcequota.pods

Kubernetes: Resource quota - pod count

This metric measures the pods quota. The most detailed level of aggregation is resource quota. The value corresponds to the pods of a resource quota.

Count
autoavgmaxmin
builtin:kubernetes.resourcequota.pods_used

Kubernetes: Resource quota - pod used count

This metric measures the used pods quota. The most detailed level of aggregation is resource quota. The value corresponds to the used pods of a resource quota.

Count
autoavgmaxmin
builtin:kubernetes.resourcequota.requests_cpu

Kubernetes: Resource quota - CPU requests

This metric measures the cpu requests quota. The most detailed level of aggregation is resource quota. The value corresponds to the cpu requests of a resource quota.

Millicores
autoavgmaxmin
builtin:kubernetes.resourcequota.requests_cpu_used

Kubernetes: Resource quota - CPU requests used

This metric measures the used cpu requests quota. The most detailed level of aggregation is resource quota. The value corresponds to the used cpu requests of a resource quota.

Millicores
autoavgmaxmin
builtin:kubernetes.resourcequota.requests_memory

Kubernetes: Resource quota - memory requests

This metric measures the memory requests quota. The most detailed level of aggregation is resource quota. The value corresponds to the memory requests of a resource quota.

Byte
autoavgmaxmin
builtin:kubernetes.resourcequota.requests_memory_used

Kubernetes: Resource quota - memory requests used

This metric measures the used memory requests quota. The most detailed level of aggregation is resource quota. The value corresponds to the used memory requests of a resource quota.

Byte
autoavgmaxmin

Workload

Metric key
Name and description
Unit
Aggregations
builtin:kubernetes.workload.conditions

Kubernetes: Workload conditions

This metric describes the status of a Kubernetes workload. The most detailed level of aggregation is workload.

Count
autoavgmaxmin
builtin:kubernetes.workload.containers_desired

Kubernetes: Pod - desired container count

This metric measures the number of desired containers. The most detailed level of aggregation is workload. The value is the count of all containers in the pod's specification.

Count
autoavgmaxmin
builtin:kubernetes.workload.cpu_throttled

Kubernetes: Container - CPU throttled (by workload)

This metric measures the total CPU throttling by container. The most detailed level of aggregation is workload.

Millicores
autoavgmaxmin
builtin:kubernetes.workload.cpu_usage

Kubernetes: Container - CPU usage (by workload)

This metric measures the total CPU consumed (user usage + system usage) by container. The most detailed level of aggregation is workload.

Millicores
autoavgmaxmin
builtin:kubernetes.workload.limits_cpu

Kubernetes: Pod - CPU limits (by workload)

This metric measures the cpu limits. The most detailed level of aggregation is workload. The value is the sum of the cpu limits of all app containers of a pod.

Millicores
autoavgmaxmin
builtin:kubernetes.workload.limits_memory

Kubernetes: Pod - memory limits (by workload)

This metric measures the memory limits. The most detailed level of aggregation is workload. The value is the sum of the memory limits of all app containers of a pod.

Byte
autoavgmaxmin
builtin:kubernetes.workload.memory_resident_set_size

[Deprecated] Kubernetes: Container - Memory RSS (by workload)

This metric measures the true resident set size (RSS) by container. RSS is the amount of physical memory used by the container's cgroup - either total_rss + total_mapped_file (cgroup v1) or anon + file_mapped (cgroup v2). The most detailed level of aggregation is workload. Deprecated - use builtin:kubernetes.workload.memory_working_set instead.

Byte
autoavgmaxmin
builtin:kubernetes.workload.memory_working_set

Kubernetes: Container - Working set memory (by workload)

This metric measures the current working set memory (memory that cannot be reclaimed under pressure) by container. The OOM Killer is invoked if the working set exceeds the limit. The most detailed level of aggregation is workload.

Byte
autoavgmaxmin
builtin:kubernetes.workload.pods_desired

Kubernetes: Workload - desired pod count

This metric measures the number of desired pods. The most detailed level of aggregation is workload. The value corresponds to the 'replicas' defined in a deployment resource and to the 'desiredNumberScheduled' for a daemon set resource's status as example.

Count
autoavgmaxmin
builtin:kubernetes.workload.requests_cpu

Kubernetes: Pod - CPU requests (by workload)

This metric measures the cpu requests. The most detailed level of aggregation is workload. The value is the sum of the cpu requests of all app containers of a pod.

Millicores
autoavgmaxmin
builtin:kubernetes.workload.requests_memory

Kubernetes: Pod - memory requests (by workload)

This metric measures the memory requests. The most detailed level of aggregation is workload. The value is the sum of the memory requests of all app containers of a pod.

Byte
autoavgmaxmin

Other kubernetes metrics

Metric key
Name and description
Unit
Aggregations
builtin:kubernetes.containers

Kubernetes: Container count

This metric measures the number of containers. The most detailed level of aggregation is workload. The metric counts the number of all containers.

Count
autoavgmaxmin
builtin:kubernetes.events

Kubernetes: Event count

This metric counts Kubernetes events. The most detailed level of aggregation is the event reason. The value corresponds to the count of events returned by the Kubernetes events endpoint. This metric depends on Kubernetes event monitoring. It will not show any datapoints for the period in which event monitoring is deactivated.

Count
autovalue
builtin:kubernetes.nodes

Kubernetes: Node count

This metric measures the number of nodes. The most detailed level of aggregation is cluster. The value is the count of all nodes.

Count
autoavgmaxmin
builtin:kubernetes.pods

Kubernetes: Pod count (by workload)

This metric measures the number of pods. The most detailed level of aggregation is workload. The value corresponds to the count of all pods.

Count
autoavgmaxmin
builtin:kubernetes.workloads

Kubernetes: Workload count

This metric measures the number of workloads. The most detailed level of aggregation is namespace. The value corresponds to the count of all workloads.

Count
autoavgmaxmin

Process

Availability

Metric key
Name and description
Unit
Aggregations
builtin:pgi.availability.state

Process availability

Process availability state metric reported in 1 minute intervals

Count
autovalue

Other process metrics

Metric key
Name and description
Unit
Aggregations
builtin:pgi.availability

Process availability %

This metric provides the percentage of time when a process is available. It is sent once per minute with a 10-second granularity - six samples are aggregated every minute. If the process is available for a whole minute, the value is 100%. A 0% value indicates that it is not running. It has a "Process" dimension (dt.entity.process_group_instance).

Percent (%)
autoavg

Process

Other process metrics

Metric key
Name and description
Unit
Aggregations
builtin:process.bytesReceived

Process traffic in

This metric provides size of incoming traffic of a process. It helps to identify processes generating high network traffic on a host. The result is expressed in kilobytes. It has a "PID" (process.pid), "Parent PID" (process.parent_pid), "process owner" (process.owner), "process executable name" (process.executable.name), "process executable path" (process.executable.path), "process command line" (process.command_line) and "Process group instance" (dt.entity.process_group_instance) dimensions This metric is collected only if the Process instance snapshot feature is turned on and triggered, and the time this metric is collected for is restricted to feature limits. To learn more, see Process instance snapshots.

kB
autoavgcountmaxminsum
builtin:process.bytesSent

Process traffic out

This metric provides size of outgoing traffic of a process. It helps to identify processes generating high network traffic on a host. The result is expressed in kilobytes. It has a "PID" (process.pid), "Parent PID" (process.parent_pid), "process owner" (process.owner), "process executable name" (process.executable.name), "process executable path" (process.executable.path), "process command line" (process.command_line) and "Process group instance" (dt.entity.process_group_instance) dimensions This metric is collected only if the Process instance snapshot feature is turned on and triggered, and the time this metric is collected for is restricted to feature limits. To learn more, see Process instance snapshots.

kB
autoavgcountmaxminsum
builtin:process.cpu

Process average CPU

This metric provides the percentage of the CPU usage of a process. The metric value is the sum of CPU time every process worker uses divided by the total available CPU time. The result is expressed in percentage. A value of 100% indicates that the process uses all available CPU resources of the host. It has a "PID" (process.pid), "Parent PID" (process.parent_pid), "process owner" (process.owner), "process executable name" (process.executable.name), "process executable path" (process.executable.path), "process command line" (process.command_line) and "Process group instance" (dt.entity.process_group_instance) dimensions. This metric is collected only if the Process instance snapshot feature is turned on and triggered, and the time this metric is collected for is restricted to feature limits. To learn more, see Process instance snapshots.

Percent (%)
autoavgcountmaxminsum
builtin:process.memory

Process memory

This metric provides the memory usage of a process. It helps to identify processes with high memory resource consumption and memory leaks. The result is expressed in bytes. It has a "PID" (process.pid), "Parent PID" (process.parent_pid), "process owner" (process.owner), "process executable name" (process.executable.name), "process executable path" (process.executable.path), "process command line" (process.command_line) and "Process group instance" (dt.entity.process_group_instance) dimensions This metric is collected only if the Process instance snapshot feature is turned on and triggered, and the time this metric is collected for is restricted to feature limits. To learn more, see Process instance snapshots.

Byte
autoavgcountmaxminsum

Queue

Other queue metrics

Metric key
Name and description
Unit
Aggregations
builtin:queue.incoming_requests

Incoming messages

The number of incoming messages on the queue or topic

Count
autoavgcountmaxminsum
builtin:queue.outgoing_requests

Outgoing messages

The number of outgoing messages from the queue or topic

Count
autoavgcountmaxminsum

Security

Attack

Metric key
Name and description
Unit
Aggregations
builtin:security.attack.new

New attacks

Number of attacks that were recently created. The metric supports the management zone selector.

Count
autovalue

Security problems

Metric key
Name and description
Unit
Aggregations
builtin:security.securityProblem.muted.new.global

New Muted Security Problems (global)

Number of vulnerabilities that were recently muted. The metric value is independent of any configured management zone (and thus global).

Count
autovalue
builtin:security.securityProblem.open.new.global

New Open Security Problems (global)

Number of vulnerabilities that were recently created. The metric value is independent of any configured management zone (and thus global).

Count
autovalue
builtin:security.securityProblem.open.new.managementZone

New Open Security Problems (split by Management Zone)

Number of vulnerabilities that were recently created. The metric value is split by management zone.

Count
autovalue
builtin:security.securityProblem.open.global

Open Security Problems (global)

Number of currently open vulnerabilities seen within the last minute. The metric value is independent of any configured management zone (and thus global).

Count
autoavgmaxmin
builtin:security.securityProblem.open.managementZone

Open Security Problems (split by Management Zone)

Number of currently open vulnerabilities seen within the last minute. The metric value is split by management zone.

Count
autoavgmaxmin
builtin:security.securityProblem.resolved.new.global

New Resolved Security Problems (global)

Number of vulnerabilities that were recently resolved. The metric value is independent of any configured management zone (and thus global).

Count
autovalue

Vulnerabilities

Metric key
Name and description
Unit
Aggregations
builtin:security.vulnerabilities.global.countAffectedProcessGroups.all

Vulnerabilities - affected process groups count (global)

Total number of unique affected process groups across all open vulnerabilities per technology. The metric value is independent of any configured management zone (and thus global).

Count
autoavgmaxmin
builtin:security.vulnerabilities.global.countAffectedProcessGroups.notMuted

Vulnerabilities - affected not-muted process groups count (global)

Total number of unique affected process groups across all open, unmuted vulnerabilities per technology. The metric value is independent of any configured management zone (and thus global).

Count
autoavgmaxmin
builtin:security.vulnerabilities.countAffectedEntities

Vulnerabilities - affected entities count

Total number of unique affected entities across all open vulnerabilities. The metric supports the management zone selector.

Count
autovalue

Services

CPU

Metric key
Name and description
Unit
Aggregations
builtin:service.cpu.perRequest

CPU time

CPU time consumed by a particular request. To learn how Dynatrace calculates service timings, see Service analysis timings.

Microsecond
autoavgcountmaxminsum
builtin:service.cpu.time

Service CPU time

CPU time consumed by a particular service. To learn how Dynatrace calculates service timings, see Service analysis timings.

Microsecond
autovalue

Database connections

Metric key
Name and description
Unit
Aggregations
builtin:service.dbconnections.failure

Failed connections

Unsuccessful connection attempts compared to all connection attempts. To learn about database analysis, see Analyze database services.

Count
autovalue
builtin:service.dbconnections.failureRate

Connection failure rate

Rate of unsuccessful connection attempts compared to all connection attempts. To learn about database analysis, see Analyze database services.

Percent (%)
autovalue
builtin:service.dbconnections.success

Successful connections

Total number of database connections successfully established by this service. To learn about database analysis, see Analyze database services.

Count
autovalue
builtin:service.dbconnections.successRate

Connection success rate

Rate of successful connection attempts compared to all connection attempts. To learn about database analysis, see Analyze database services.

Percent (%)
autovalue
builtin:service.dbconnections.total

Total number of connections

Total number of database connections that were attempted to be established by this service. To learn about database analysis, see Analyze database services.

Count
autovalue

Errors

Metric key
Name and description
Unit
Aggregations
builtin:service.errors.client.count

Number of client side errors

Failed requests for a service measured on client side. To learn about failure detection, see Configure service failure detection.

Count
autovalue
builtin:service.errors.client.rate

Failure rate (client side errors)

Percent (%)
autoavg
builtin:service.errors.client.successCount

Number of calls without client side errors

Count
autovalue
builtin:service.errors.fivexx.count

Number of HTTP 5xx errors

HTTP requests with a status code between 500 and 599 for a given key request measured on server side. To learn about failure detection, see Configure service failure detection.

Count
autovalue
builtin:service.errors.fivexx.rate

Failure rate (HTTP 5xx errors)

Percent (%)
autoavg
builtin:service.errors.fivexx.successCount

Number of calls without HTTP 5xx errors

Count
autovalue
builtin:service.errors.fourxx.count

Number of HTTP 4xx errors

HTTP requests with a status code between 400 and 499 for a given key request measured on server side. To learn about failure detection, see Configure service failure detection.

Count
autovalue
builtin:service.errors.fourxx.rate

Failure rate (HTTP 4xx errors)

Percent (%)
autoavg
builtin:service.errors.fourxx.successCount

Number of calls without HTTP 4xx errors

Count
autovalue
builtin:service.errors.server.count

Number of server side errors

Failed requests for a service measured on server side. To learn about failure detection, see Configure service failure detection.

Count
autovalue
builtin:service.errors.server.rate

Failure rate (server side errors)

Percent (%)
autoavg
builtin:service.errors.server.successCount

Number of calls without server side errors

Count
autovalue
builtin:service.errors.total.count

Number of any errors

Failed requests for a service measured on server side or client side. To learn about failure detection, see Configure service failure detection.

Count
autovalue
builtin:service.errors.total.rate

Failure rate (any errors)

Percent (%)
autoavg
builtin:service.errors.total.successCount

Number of calls without any errors

Count
autovalue

Key requests

Metric key
Name and description
Unit
Aggregations
builtin:service.keyRequest.count.client

Request count - client

Number of requests for a given key request - measured on the client side. This metric is written for each key request. To learn more about key requests, see Monitor key request.

Count
autovalue
builtin:service.keyRequest.count.server

Request count - server

Number of requests for a given key request - measured on the server side. This metric is written for each key request. To learn more about key requests, see Monitor key request.

Count
autovalue
builtin:service.keyRequest.count.total

Request count

Number of requests for a given key request. This metric is written for each key request. To learn more about key requests, see Monitor key request.

Count
autovalue
builtin:service.keyRequest.cpu.perRequest

CPU per request

CPU time for a given key request. This metric is written for each key request. To learn more about key requests, see Monitor key request.

Microsecond
autoavgcountmaxminsum
builtin:service.keyRequest.cpu.time

Service key request CPU time

CPU time for a given key request. This metric is written for each key request. To learn more about key requests, see Monitor key request.

Microsecond
autoavgcountmaxminsum
builtin:service.keyRequest.errors.client.count

Number of client side errors

Failed requests for a given key request measured on client side. To learn about failure detection, see Configure service failure detection.

Count
autovalue
builtin:service.keyRequest.errors.client.rate

Failure rate (client side errors)

Percent (%)
autoavg
builtin:service.keyRequest.errors.client.successCount

Number of calls without client side errors

Count
autovalue
builtin:service.keyRequest.errors.fivexx.count

Number of HTTP 5xx errors

Rate of HTTP requests with a status code between 500 and 599 of a given key request. To learn about failure detection, see Configure service failure detection.

Count
autovalue
builtin:service.keyRequest.errors.fivexx.rate

Failure rate (HTTP 5xx errors)

Percent (%)
autoavg
builtin:service.keyRequest.errors.fivexx.successCount

Number of calls without HTTP 5xx errors

Count
autovalue
builtin:service.keyRequest.errors.fourxx.count

Number of HTTP 4xx errors

Rate of HTTP requests with a status code between 400 and 499 of a given key request. To learn about failure detection, see Configure service failure detection.

Count
autovalue
builtin:service.keyRequest.errors.fourxx.rate

Failure rate (HTTP 4xx errors)

Percent (%)
autoavg
builtin:service.keyRequest.errors.fourxx.successCount

Number of calls without HTTP 4xx errors

Count
autovalue
builtin:service.keyRequest.errors.server.count

Number of server side errors

Failed requests for a given key request measured on server side. To learn about failure detection, see Configure service failure detection.

Count
autovalue
builtin:service.keyRequest.errors.server.rate

Failure rate (server side errors)

Percent (%)
autoavg
builtin:service.keyRequest.errors.server.successCount

Number of calls without server side errors

Count
autovalue
builtin:service.keyRequest.response.client

Client side response time

Response time for a given key request - measured on the client side. This metric is written for each key request. To learn more about key requests, see Monitor key request.

Microsecond
autoavgcountmaxmedianminpercentilesum
builtin:service.keyRequest.response.server

Server side response time

Response time for a given key request - measured on the server side. This metric is written for each request. To learn more about key requests, see Monitor key request.

Microsecond
autoavgcountmaxmedianminpercentilesum
builtin:service.keyRequest.response.time

Key request response time

Response time for a given key request. This metric is written for each key request. To learn more about key requests, see Monitor key request.

Microsecond
autoavgcountmaxmedianminpercentilesum
builtin:service.keyRequest.successes.server.rate

Success rate (server side)

Percent (%)
autoavg
builtin:service.keyRequest.dbChildCallCount

Number of calls to databases

Count
autovalue
builtin:service.keyRequest.dbChildCallTime

Time spent in database calls

Microsecond
autovalue
builtin:service.keyRequest.ioTime

IO time

Microsecond
autovalue
builtin:service.keyRequest.lockTime

Lock time

Microsecond
autovalue
builtin:service.keyRequest.nonDbChildCallCount

Number of calls to other services

Count
autovalue
builtin:service.keyRequest.nonDbChildCallTime

Time spent in calls to other services

Microsecond
autovalue
builtin:service.keyRequest.totalProcessingTime

Total processing time

Total processing time for a given key request. This time includes potential further asynchronous processing. This metric is written for each key request. To learn more about key requests, see Monitor key request.

Microsecond
autoavgcountmaxmedianminpercentilesum
builtin:service.keyRequest.waitTime

Wait time

Microsecond
autovalue

Request

Metric key
Name and description
Unit
Aggregations
builtin:service.request.service_mesh.count

Unified service mesh request count

Number of service mesh requests received by a given service. To learn how Dynatrace detects services, see Service detection and naming.

Count
autovalue
builtin:service.request.service_mesh.count_service_aggregation

Unified service mesh request count (by service)

Number of service mesh requests received by a given service. Reduced dimensions for faster charting. To learn how Dynatrace detects services, see Service detection and naming.

Count
autovalue
builtin:service.request.service_mesh.failure_count

Unified service mesh request failure count

Number of failed service mesh requests received by a given service. To learn how Dynatrace detects service failures, see Configure service failure detection.

Count
autovalue
builtin:service.request.service_mesh.failure_count_service_aggregation

Unified service mesh request failure count (by service)

Number of failed service mesh requests received by a given service. Reduced dimensions for faster charting. To learn how Dynatrace detects service failures, see Configure service failure detection.

Count
autovalue
builtin:service.request.service_mesh.response_time

Unified service mesh request response time

Response time of a service mesh ingress measured in microseconds. To learn how Dynatrace calculates service timings, see Service analysis timings.

Millisecond
autocountmaxmedianminpercentile
builtin:service.request.service_mesh.response_time_service_aggregation

Unified service mesh request response time (by service)

Response time of a service mesh ingress measured in microseconds. Reduced dimensions for faster charting. To learn how Dynatrace calculates service timings, see Service analysis timings.

Millisecond
autocountmaxmedianminpercentile
builtin:service.request.count_chart

Unified service request count (by service, endpoint)

Number of requests received by a given service. Reduced dimensions for faster charting. To learn how Dynatrace detects and analyzes services, see Services.

Count
autovalue
builtin:service.request.count_service_aggregation

Unified service request count (by service)

Number of requests received by a given service. Reduced dimensions for faster charting. To learn how Dynatrace detects and analyzes services, see Services.

Count
autovalue
builtin:service.request.failure_count

Unified service failure count

Number of failed requests received by a given service. To learn how Dynatrace detects and analyzes services, see Services.

Count
autovalue
builtin:service.request.failure_count_chart

Unified service failure count (by service, endpoint)

Number of failed requests received by a given service. Reduced dimensions for faster charting. To learn how Dynatrace detects and analyzes services, see Services.

Count
autovalue
builtin:service.request.failure_count_service_aggregation

Unified service failure count (by service)

Number of failed requests received by a given service. Reduced dimensions for faster charting. To learn how Dynatrace detects and analyzes services, see Services.

Count
autovalue
builtin:service.request.response_time_chart

Unified service request response time (by service, endpoint)

Response time of a service measured in microseconds on the server side. Response time is the time until a response is sent to a calling application, process or other service. It does not include further asynchronous processing. Reduced dimensions for faster charting. To learn how Dynatrace calculates service timings, see Service analysis timings.

Millisecond
autocountmaxmedianminpercentile
builtin:service.request.response_time_service_aggregation

Unified service request response time (by service)

Response time of a service measured in microseconds on the server side. Response time is the time until a response is sent to a calling application, process or other service. It does not include further asynchronous processing. Reduced dimensions for faster charting. To learn how Dynatrace calculates service timings, see Service analysis timings.

Millisecond
autocountmaxmedianminpercentile

Request count

Metric key
Name and description
Unit
Aggregations
builtin:service.requestCount.client

Request count - client

Number of requests received by a given service - measured on the client side. This metric allows service splittings. To learn how Dynatrace detects and analyzes services, see Services.

Count
autovalue
builtin:service.requestCount.server

Request count - server

Number of requests received by a given service - measured on the server side. This metric allows service splittings. To learn how Dynatrace detects and analyzes services, see Services.

Count
autovalue
builtin:service.requestCount.total

Request count

Number of requests received by a given service. This metric allows service splittings. To learn how Dynatrace detects and analyzes services, see Services.

Count
autovalue

Response time

Metric key
Name and description
Unit
Aggregations
builtin:service.response.group.client

Client side response time

Response time for a given key request per request type - measured on the client side. This metric is written for each key request. To learn more about key requests, see Monitor key request.

Microsecond
autoavgcountmaxmedianminpercentilesum
builtin:service.response.group.server

Server side response time

Response time for a given key request per request type - measured on the server side. This metric is written for each key request. To learn more about key requests, see Monitor key request.

Microsecond
autoavgcountmaxmedianminpercentilesum
builtin:service.response.client

Client side response time

Microsecond
autoavgcountmaxmedianminpercentilesum
builtin:service.response.server

Server side response time

Microsecond
autoavgcountmaxmedianminpercentilesum
builtin:service.response.time

Response time

Time consumed by a particular service until a response is sent back to the calling application, process, service etc.To learn how Dynatrace calculates service timings, see Service analysis timings.

Microsecond
autoavgcountmaxmedianminpercentilesum

Success rate

Metric key
Name and description
Unit
Aggregations
builtin:service.successes.server.rate

Success rate (server side)

Percent (%)
autoavg

Total processing time

Metric key
Name and description
Unit
Aggregations
builtin:service.totalProcessingTime.group.totalProcessingTime

Total processing time

Total time consumed by a particular request type including asynchronous processing. Time includes the factor that asynchronous processing can still occur after responses are sent. To learn how Dynatrace calculates service timings, see Service analysis timings.

Microsecond
autoavgcountmaxmedianminpercentilesum

Other services metrics

Metric key
Name and description
Unit
Aggregations
builtin:service.totalProcessingTime

Total processing time

Total time consumed by a particular service including asynchronous processing. Time includes the factor that asynchronous processing can still occur after responses are sent.To learn how Dynatrace calculates service timings, see Service analysis timings.

Microsecond
autoavgcountmaxmedianminpercentilesum
builtin:service.dbChildCallCount

Number of calls to databases

Count
autovalue
builtin:service.dbChildCallTime

Time spent in database calls

Microsecond
autovalue
builtin:service.ioTime

IO time

Microsecond
autovalue
builtin:service.lockTime

Lock time

Microsecond
autovalue
builtin:service.nonDbChildCallCount

Number of calls to other services

Count
autovalue
builtin:service.nonDbChildCallTime

Time spent in calls to other services

Microsecond
autovalue
builtin:service.waitTime

Wait time

Microsecond
autovalue

Synthetic monitoring

Browser

Metric key
Name and description
Unit
Aggregations
builtin:synthetic.browser.actionDuration.custom

Action duration - custom action [browser monitor]

The duration of custom actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.actionDuration.custom.geo

Action duration - custom action (by geolocation) [browser monitor]

The duration of custom actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.actionDuration.load

Action duration - load action [browser monitor]

The duration of load actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.actionDuration.load.geo

Action duration - load action (by geolocation) [browser monitor]

The duration of load actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.actionDuration.xhr

Action duration - XHR action [browser monitor]

The duration of XHR actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.actionDuration.xhr.geo

Action duration - XHR action (by geolocation) [browser monitor]

The duration of XHR actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.availability.location.total

Availability rate (by location) [browser monitor]

The availability rate of browser monitors.

Percent (%)
autoavg
builtin:synthetic.browser.availability.location.totalWoMaintenanceWindow

Availability rate - excl. maintenance windows (by location) [browser monitor]

The availability rate of browser monitors excluding maintenance windows.

Percent (%)
autoavg
builtin:synthetic.browser.cumulativeLayoutShift.load

Cumulative layout shift - load action [browser monitor]

The score measuring the unexpected shifting of visible webpage elements. Calculated for load actions; split by monitor.

autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.cumulativeLayoutShift.load.geo

Cumulative layout shift - load action (by geolocation) [browser monitor]

The score measuring the unexpected shifting of visible webpage elements. Calculated for load actions; split by monitor, geolocation.

autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.domInteractive.load

DOM interactive - load action [browser monitor]

The time taken until a page's status is set to "interactive" and it's ready to receive input. Calculated for load actions; split by monitor

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.domInteractive.load.geo

DOM interactive - load action (by geolocation) [browser monitor]

The time taken until a page's status is set to "interactive" and it's ready to receive input. Calculated for load actions; split by monitor, geolocation

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.errorCodes

Error details (by error code) [browser monitor]

The number of detected errors; split by monitor, error code.

Count
autovalue
builtin:synthetic.browser.errorCodes.geo

Error details (by geolocation, error code) [browser monitor]

The number of detected errors; split by monitor executions.

Count
autovalue
builtin:synthetic.browser.event.actionDuration.custom

Action duration - custom action (by event) [browser monitor]

The duration of custom actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.actionDuration.custom.geo

Action duration - custom action (by event, geolocation) [browser monitor]

The duration of custom actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.actionDuration.load

Action duration - load action (by event) [browser monitor]

The duration of load actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.actionDuration.load.geo

Action duration - load action (by event, geolocation) [browser monitor]

The duration of load actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.actionDuration.xhr

Action duration - XHR action (by event) [browser monitor]

The duration of XHR actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.actionDuration.xhr.geo

Action duration - XHR action (by event, geolocation) [browser monitor]

The duration of XHR actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.cumulativeLayoutShift.load

Cumulative layout shift - load action (by event) [browser monitor]

The score measuring the unexpected shifting of visible webpage elements. Calculated for load actions; split by event.

autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.cumulativeLayoutShift.load.geo

Cumulative layout shift - load action (by event, geolocation) [browser monitor]

The score measuring the unexpected shifting of visible webpage elements. Calculated for load actions; split by event, geolocation.

autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.domInteractive.load

DOM interactive - load action (by event) [browser monitor]

The time taken until a page's status is set to "interactive" and it's ready to receive input. Calculated for load actions; split by event

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.domInteractive.load.geo

DOM interactive - load action (by event, geolocation) [browser monitor]

The time taken until a page's status is set to "interactive" and it's ready to receive input. Calculated for load actions; split by event, geolocation

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.errorCodes

Error details (by event, error code) [browser monitor]

The number of detected errors; split by event, error code.

Count
autovalue
builtin:synthetic.browser.event.errorCodes.geo

Error details (by event, geolocation, error code) [browser monitor]

The number of detected errors; split by event, geolocation, error code.

Count
autovalue
builtin:synthetic.browser.event.failure

Failed events count (by event) [browser monitor]

The number of failed monitor events; split by event.

Count
autovalue
builtin:synthetic.browser.event.failure.geo

Failed events count (by event, geolocation) [browser monitor]

The number of failed monitor events; split by event, geolocation.

Count
autovalue
builtin:synthetic.browser.event.firstByte.load

Time to first byte - load action (by event) [browser monitor]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for load actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.firstByte.load.geo

Time to first byte - load action (by event, geolocation) [browser monitor]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for load actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.firstByte.xhr

Time to first byte - XHR action (by event) [browser monitor]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for XHR actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.firstByte.xhr.geo

Time to first byte - XHR action (by event, geolocation) [browser monitor]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for XHR actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.largestContentfulPaint.load

Largest contentful paint - load action (by event) [browser monitor]

The time taken to render the largest element in the viewport. Calculated for load actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.largestContentfulPaint.load.geo

Largest contentful paint - load action (by event, geolocation) [browser monitor]

The time taken to render the largest element in the viewport. Calculated for load actions; split by event, geolocation.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.loadEventEnd.load

Load event end - load action (by event) [browser monitor]

The time taken to complete the load event of a page. Calculated for load actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.loadEventEnd.load.geo

Load event end - load action (by event, geolocation) [browser monitor]

The time taken to complete the load event of a page. Calculated for load actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.loadEventStart.load

Load event start - load action (by event) [browser monitor]

The time taken to begin the load event of a page. Calculated for load actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.loadEventStart.load.geo

Load event start - load action (by event, geolocation) [browser monitor]

The time taken to begin the load event of a page. Calculated for load actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.networkContribution.load

Network contribution - load action (by event) [browser monitor]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for load actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.networkContribution.load.geo

Network contribution - load action (by event, geolocation) [browser monitor]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for load actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.networkContribution.xhr

Network contribution - XHR action (by event) [browser monitor]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for XHR actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.networkContribution.xhr.geo

Network contribution - XHR action (by event, geolocation) [browser monitor]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for XHR actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.responseEnd.load

Response end - load action (by event) [browser monitor]

(AKA HTML downloaded) The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for load actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.responseEnd.load.geo

Response end - load action (by event, geolocation) [browser monitor]

(AKA HTML downloaded) The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for load actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.responseEnd.xhr

Response end - XHR action (by event) [browser monitor]

(AKA HTML downloaded) The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for XHR actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.responseEnd.xhr.geo

Response end - XHR action (by event, geolocation) [browser monitor]

(AKA HTML downloaded) The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for XHR actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.serverContribution.load

Server contribution - load action (by event) [browser monitor]

The time spent on server-side processing for a page. Calculated for load actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.serverContribution.load.geo

Server contribution - load action (by event, geolocation) [browser monitor]

The time spent on server-side processing for a page. Calculated for load actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.serverContribution.xhr

Server contribution - XHR action (by event) [browser monitor]

The time spent on server-side processing for a page. Calculated for XHR actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.serverContribution.xhr.geo

Server contribution - XHR action (by event, geolocation) [browser monitor]

The time spent on server-side processing for a page. Calculated for XHR actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.speedIndex.load

Speed index - load action (by event) [browser monitor]

The score measuring how quickly the visible parts of a page are rendered. Calculated for load actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.speedIndex.load.geo

Speed index - load action (by event, geolocation) [browser monitor]

The score measuring how quickly the visible parts of a page are rendered. Calculated for load actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.success

Successful events count (by event) [browser monitor]

The number of successful monitor events; split by event.

Count
autovalue
builtin:synthetic.browser.event.success.geo

Successful events count (by event, geolocation) [browser monitor]

The number of successful monitor events; split by event, geolocation.

Count
autovalue
builtin:synthetic.browser.event.total

Total events count (by event) [browser monitor]

The total number of monitor events executions executions; split by event.

Count
autovalue
builtin:synthetic.browser.event.total.geo

Total events count (by event, geolocation) [browser monitor]

The total number of monitor events executions; split by event, geolocation.

Count
autovalue
builtin:synthetic.browser.event.totalDuration

Total duration (by event) [browser monitor]

The duration of all actions in an event; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.totalDuration.geo

Total duration (by event, geolocation) [browser monitor]

The duration of all actions in an event; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.visuallyComplete.load

Visually complete - load action (by event) [browser monitor]

The time taken to fully render content in the viewport. Calculated for load actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.visuallyComplete.load.geo

Visually complete - load action (by event, geolocation) [browser monitor]

The time taken to fully render content in the viewport. Calculated for load actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.event.visuallyComplete.xhr

Visually complete - XHR action (by event) [browser monitor]

The time taken to fully render content in the viewport. Calculated for XHR actions; split by event.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.event.visuallyComplete.xhr.geo

Visually complete - XHR action (by event, geolocation) [browser monitor]

The time taken to fully render content in the viewport. Calculated for XHR actions; split by event, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.failure

Failed executions count [browser monitor]

The number of failed monitor executions; split by monitor.

Count
autovalue
builtin:synthetic.browser.failure.geo

Failed executions count (by geolocation) [browser monitor]

The number of failed monitor executions; split by monitor, geolocation.

Count
autovalue
builtin:synthetic.browser.firstByte.load

Time to first byte - load action [browser monitor]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for load actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.firstByte.load.geo

Time to first byte - load action (by geolocation) [browser monitor]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for load actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.firstByte.xhr

Time to first byte - XHR action [browser monitor]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for XHR actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.firstByte.xhr.geo

Time to first byte - XHR action (by geolocation) [browser monitor]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for XHR actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.largestContentfulPaint.load

Largest contentful paint - load action [browser monitor]

The time taken to render the largest element in the viewport. Calculated for load actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.largestContentfulPaint.load.geo

Largest contentful paint - load action (by geolocation) [browser monitor]

The time taken to render the largest element in the viewport. Calculated for load actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.loadEventEnd.load

Load event end - load action [browser monitor]

The time taken to complete the load event of a page. Calculated for load actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.loadEventEnd.load.geo

Load event end - load action (by geolocation) [browser monitor]

The time taken to complete the load event of a page. Calculated for load actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.loadEventStart.load

Load event start - load action [browser monitor]

The time taken to begin the load event of a page. Calculated for load actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.loadEventStart.load.geo

Load event start - load action (by geolocation) [browser monitor]

The time taken to begin the load event of a page. Calculated for load actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.networkContribution.load

Network contribution - load action [browser monitor]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for load actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.networkContribution.load.geo

Network contribution - load action (by geolocation) [browser monitor]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for load actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.networkContribution.xhr

Network contribution - XHR action [browser monitor]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for XHR actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.networkContribution.xhr.geo

Network contribution - XHR action (by geolocation) [browser monitor]

The time taken to request and receive resources (including DNS lookup, redirect, and TCP connect time). Calculated for XHR actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.responseEnd.load

Response end - load action [browser monitor]

(AKA HTML downloaded) The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for load actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.responseEnd.load.geo

Response end - load action (by geolocation) [browser monitor]

(AKA HTML downloaded) The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for load actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.responseEnd.xhr

Response end - XHR action [browser monitor]

(AKA HTML downloaded) The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for XHR actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.responseEnd.xhr.geo

Response end - XHR action (by geolocation) [browser monitor]

(AKA HTML downloaded) The time taken until the user agent receives the last byte of the response or the transport connection is closed, whichever comes first. Calculated for XHR actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.serverContribution.load

Server contribution - load action [browser monitor]

The time spent on server-side processing for a page. Calculated for load actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.serverContribution.load.geo

Server contribution - load action (by geolocation) [browser monitor]

The time spent on server-side processing for a page. Calculated for load actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.serverContribution.xhr

Server contribution - XHR action [browser monitor]

The time spent on server-side processing for a page. Calculated for XHR actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.serverContribution.xhr.geo

Server contribution - XHR action (by geolocation) [browser monitor]

The time spent on server-side processing for a page. Calculated for XHR actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.speedIndex.load

Speed index - load action [browser monitor]

The score measuring how quickly the visible parts of a page are rendered. Calculated for load actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.speedIndex.load.geo

Speed index - load action (by geolocation) [browser monitor]

The score measuring how quickly the visible parts of a page are rendered. Calculated for load actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.success

Successful executions count [browser monitor]

The number of successful monitor executions; split by monitor.

Count
autovalue
builtin:synthetic.browser.success.geo

Successful executions count (by geolocation) [browser monitor]

The number of successful monitor executions; split by monitor, geolocation.

Count
autovalue
builtin:synthetic.browser.total

Total executions count [browser monitor]

The total number of monitor executions executions; split by monitor.

Count
autovalue
builtin:synthetic.browser.total.geo

Total executions count (by geolocation) [browser monitor]

The total number of monitor executions executions; split by monitor, geolocation.

Count
autovalue
builtin:synthetic.browser.totalDuration

Total duration [browser monitor]

The duration of all actions in an event; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.totalDuration.geo

Total duration (by geolocation) [browser monitor]

The duration of all actions in an event; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.visuallyComplete.load

Visually complete - load action [browser monitor]

The time taken to fully render content in the viewport. Calculated for load actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.visuallyComplete.load.geo

Visually complete - load action (by geolocation) [browser monitor]

The time taken to fully render content in the viewport. Calculated for load actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.browser.visuallyComplete.xhr

Visually complete - XHR action [browser monitor]

The time taken to fully render content in the viewport. Calculated for XHR actions; split by monitor.

Millisecond
autoavgcountmaxmedianminpercentilesum
builtin:synthetic.browser.visuallyComplete.xhr.geo

Visually complete - XHR action (by geolocation) [browser monitor]

The time taken to fully render content in the viewport. Calculated for XHR actions; split by monitor, geolocation.

Millisecond
autoavgcountmaxminsum

HTTP

Metric key
Name and description
Unit
Aggregations
builtin:synthetic.http.availability.location.total

Availability rate (by location) [HTTP monitor]

The availability rate of HTTP monitors.

Percent (%)
autoavg
builtin:synthetic.http.availability.location.totalWoMaintenanceWindow

Availability rate - excl. maintenance windows (by location) [HTTP monitor]

The availability rate of HTTP monitors excluding maintenance windows.

Percent (%)
autoavg
builtin:synthetic.http.dns.geo

DNS lookup time (by location) [HTTP monitor]

The time taken to resolve the hostname for a target URL for the sum of all requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.duration.geo

Duration (by location) [HTTP monitor]

The duration of the sum of all requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.execution.status

Execution count (by status) [HTTP monitor]

The number of monitor executions.

Count
autovalue
builtin:synthetic.http.request.dns.geo

DNS lookup time (by request, location) [HTTP monitor]

The time taken to resolve the hostname for a target URL for individual HTTP requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.request.duration.geo

Duration (by request, location) [HTTP monitor]

The duration of individual HTTP requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.request.responseSize.geo

Response size (by request, location) [HTTP monitor]

The response size of individual HTTP requests.

Byte
autoavgcountmaxminsum
builtin:synthetic.http.request.tcpConnectTime.geo

TCP connect time (by request, location) [HTTP monitor]

The time taken to establish the TCP connection to the server (including SSL) for individual HTTP requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.request.timeToFirstByte.geo

Time to first byte (by request, location) [HTTP monitor]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for individual HTTP requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.request.tlsHandshakeTime.geo

TLS handshake time (by request, location) [HTTP monitor]

The time taken to complete the TLS handshake for individual HTTP requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.request.durationThreshold

Duration threshold (request) (by request) [HTTP monitor]

The performance threshold for individual HTTP requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.request.resultStatus

Result status count (by request, location) [HTTP monitor]

The number of request executions with success/failure result status.

Count
autoavgcountmaxminsum
builtin:synthetic.http.request.statusCode

Status code count (by request, location) [HTTP monitor]

The number of request executions that end with an HTTP status code.

Count
autovalue
builtin:synthetic.http.responseSize.geo

Response size (by location) [HTTP monitor]

The response size of the sum of all requests.

Byte
autoavgcountmaxminsum
builtin:synthetic.http.tcpConnectTime.geo

TCP connect time (by location) [HTTP monitor]

The time taken to establish the TCP connection to the server (including SSL) for the sum of all requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.timeToFirstByte.geo

Time to first byte (by location) [HTTP monitor]

The time taken until the first byte of the response is received from the server, relevant application caches, or a local resource. Calculated for the sum of all requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.tlsHandshakeTime.geo

TLS handshake time (by location) [HTTP monitor]

The time taken to complete the TLS handshake for the sum of all requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.durationThreshold

Duration threshold [HTTP monitor]

The performance threshold for the sum of all requests.

Millisecond
autoavgcountmaxminsum
builtin:synthetic.http.resultStatus

Result status count (by location) [HTTP monitor]

The number of monitor executions with success/failure result status.

Count
autoavgcountmaxminsum
builtin:synthetic.http.statusCode

Status code count (by location) [HTTP monitor]

The number of monitor executions that end with an HTTP status code.

Count
autovalue

Location

Metric key
Name and description