Dynatrace ready-made dashboards offer preconfigured data visualizations and filters designed for common scenarios like troubleshooting and optimization.
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Select the ready-made dashboard you want to use.
Try the Explore in Playground links below to see them in action.
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Go to
Dashboards, list the ready-made dashboards, and select the Getting started dashboard.
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Select the Pie chart tile and then select Edit.
Change the visualization from Pie to Donut.
Now you are offered two buttons: Save as new and Discard changes.
Use the updated dashboard as needed. You have full edit access for this session.
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AI Observability Explore ready-made dashboards owned by
AI Observability.
Monitor Amazon Bedrock model health and token usage. Spot the most expensive prompts, detect PII leaks and denied topics, and trace slow or failing model invocations end to end.
The Amazon Bedrock - AI Observability dashboard contains the following sections and tiles:
Monitor Azure AI Foundry model health and performance. Track request volume, response time, cost per model, and P99 latency to identify expensive or unreliable AI calls.
The Azure AI Foundry - AI Observability dashboard contains the following sections and tiles:
Monitor Google Vertex AI and Gemini model performance end to end. Track request counts, response time, cost per model, and P99 latency across your AI application.
The Google Gemini and Vertex AI Studio - AI Observability dashboard contains the following sections and tiles:
Monitor AI applications built on Kong AI Gateway. Track request counts by model, token consumption forecasts, P99 latency, and service health.
The Kong AI - AI Observability dashboard contains the following sections and tiles:
Monitor AI applications built with NVIDIA NIM. Track request counts, average and P99 response duration, token cost estimates, and open problems.
The NVIDIA - AI Observability dashboard contains the following sections and tiles:
Monitor OpenAI and Azure OpenAI service health, request counts, response time, and cost. Identify which models are most expensive and trace the slowest or costliest prompts.
The OpenAI - AI Observability dashboard contains the following sections and tiles:
Explore ready-made dashboards owned by Amazon ECR.
Identify coverage gaps in container image scanning. View scan coverage by security product and see the latest 50 scan events across registries, repositories, and images.
The Container Scan Events Coverage dashboard contains the following sections and tiles:
Visualize container vulnerability findings by risk level. Break down critical and high findings by registry and repository to prioritize remediation across your container environment.
The Container Vulnerability Findings dashboard contains the following sections and tiles:
Reduce container alert noise by correlating vulnerability findings with runtime context. View which findings are present in running containers versus only repositories to prioritize response.
The Runtime contextualization of container findings for alert reduction dashboard contains the following sections and tiles:
Explore ready-made dashboards owned by Amazon GuardDuty.
Overview of Amazon GuardDuty security findings by risk level. View affected objects and the latest 50 findings to focus remediation on the highest-risk issues.
The Security findings dashboard contains the following sections and tiles:
View security product coverage and scan event ingestion from Amazon GuardDuty. Track reporting providers, scan event counts over time, and runtime coverage of hosts and container workloads.
The Security product coverage dashboard contains the following sections and tiles:
Anomaly Detection app Explore ready-made dashboards owned by
Anomaly Detection app.
Track the health of custom alert detectors on your tenant. Identify failing detectors, the most common error messages, and which detectors trigger the most alerts.
The Alert configuration health status dashboard contains the following sections and tiles:
Last execution of alert configs honeycomb chart
Overall of all last execution result for each selected alert configuration.
Last execution - Success single value
Count the last success execution result for each selected alert configuration.
Last execution - Warning single value
Count the last warning execution result for each selected alert configuration.
Last execution - Failed single value
Count the last failed execution result for each selected alert configuration.
Warning or Failure Events bar chart
Shows all warning or failure events for each selected alert configuration.
FAILED Message table
WARNING Message table
Clouds app Explore ready-made dashboards owned by
Clouds app.
Track error rates, request volumes, and latency across AWS HTTP and REST API Gateways. Drill into individual gateway instances to pinpoint the source of elevated 4xx or 5xx responses.
The AWS API dashboard contains the following sections and tiles:
5xx errors single value
API requests single value
4xx errors single value
Integration latency line chart
The time between when API Gateway relays a request to the backend and when it receives a response from the backend.
Latency line chart
The time between when API Gateway receives a request from a client and when it returns a response to the client. The latency includes the integration latency and other API Gateway overhead.
HTTP APIs error rate single value
Errors by API/stage categorical chart
Cache hits single value
Cache misses single value
REST APIs error rate single value
Data processed line chart
Errors by API/stage categorical chart
API requests single value
5xx errors single value
4xx errors single value
Integration latency line chart
The time between when API Gateway relays a request to the backend and when it receives a response from the backend.
Latency line chart
The time between when API Gateway receives a request from a client and when it returns a response to the client. The latency includes the integration latency and other API Gateway overhead.
View AWS Bedrock invocation counts, throttle rates, guardrail events, and average response time. Identify which models are driving the most traffic and where errors or throttles are occurring.
The AWS Bedrock dashboard contains the following sections and tiles:
Invocations line chart
Total invocations single value
Average Total Time single value
The time it took for the server to process the request.
Invocation Throttles line chart
Agent throttles
Client vs Server errors line chart
Input token vs Output token count bar chart
Top $Limit models per latency line chart
Agents single value
Agent Alias single value
Guardrails single value
Total Time line chart
The time it took for the server to process the request.
Invocations line chart
Successful agent invocations
Invocations Intervened line chart
Successful agent invocations
Findings count line chart
Successful agent invocations
Agent Alias per Agent categorical chart
Top $Limit models per invocations line chart
Total errors single value
The time it took for the server to process the request.
View the status of DynamoDB tables, including capacity unit usage, throttle rates, and latency. Spot user and system errors and track item return rates to detect unexpected query patterns.
The AWS DynamoDB dashboard contains the following sections and tiles:
User errors single value
Requests to DynamoDB or Amazon DynamoDB Streams that generate an HTTP 400 status code during the specified time period.
System errors single value
The requests to DynamoDB or Amazon DynamoDB Streams that generate an HTTP 500 status code during the specified time period.
Tables single value
Successful request latency line chart
Returned items single value
The number of items returned by Query, Scan or ExecuteStatement (select) operations during the specified time period.
Conditional check failed requests single value
The number of failed attempts to perform conditional writes.
Throttled requests single value
Requests to DynamoDB that exceed the provisioned throughput limits on a resource (such as a table or an index).
TTL deleted items single value
Consumed read capacity units line chart
Consumed write capacity units line chart
Read throttle events line chart
Requests to DynamoDB that exceed the provisioned read capacity units for a table over the specified time period.
Provisioned read capacity units line chart
Provisioned write capacity units line chart
Write throttle events line chart
Requests to DynamoDB that exceed the provisioned write capacity units for a table over the specified time period.
View CPU utilization, network traffic, and disk activity for EC2 instances. See the breakdown by instance type, region, and account, plus Auto Scaling group status.
The AWS EC2 dashboard contains the following sections and tiles:
EC2 instances per region categorical chart
Active EC2 instances single value
Total network input single value
The total number of bytes received by the instance on all network interfaces.
Total network output single value
The total number of bytes sent out by the instance on all network interfaces.
Network input line chart
Network output line chart
Read bytes line chart
Write bytes line chart
Read operations line chart
Write operations line chart
CPU utilization for instances with highest usage categorical chart
The most recent percentage of physical CPU time that Amazon EC2 uses to run the EC2 instance, which includes time spent to run both the user code and the Amazon EC2 code.
Volumes idle time bar chart
The total number of seconds in a specified period of time when no read or write operations were submitted. High idle time indicates underutilized resources like EBS volume attached to an EC2 instance that is not actively used.
Volumes queue length bar chart
The number of read and write operation requests waiting to be completed in a specified period of time.
Burst balance percentage line chart
Percentage of I/O credits (for gp2) or throughput credits (for st1 and sc1) remaining in the burst bucket.
Auto Scaling groups by group max size categorical chart
Auto Scaling groups by desired capacity categorical chart
The number of instances that the Auto Scaling groups attempt to maintain.
In-service instances line chart
The number of instances that are running as part of the Auto Scaling group.
Pending instances bar chart
The number of instances that are pending. A pending instance is not yet in service.
Standby instances bar chart
The number of instances that are in a Standby state. Instances in this state are still running but are not actively in service.
Terminating instances line chart
The number of instances that are in the process of terminating. This metric does not include instances that are in service, pending, or returning to a warm pool after Auto Scaling group scale in.
Track CPU and memory reservation and utilization for ECS tasks across clusters. Monitor network I/O to spot containers under resource pressure.
The AWS ECS dashboard contains the following sections and tiles:
Services single value
The number of services in the clusters in a given period.
Container instances single value
Deployments single value
Tasks sets single value
Tasks single value
Pending tasks single value
Desired tasks single value
Running tasks single value
Memory utilization by cluster line chart
CPU utilization by cluster line chart
Average CPU utilization single value
Average memory utilization single value
The total percentage of memory being used by containers in the resource in a given period.
Ephemeral storage bytes reserved line chart
Ephemeral storage bytes utilized line chart
Average ephemeral storage bytes utilized single value
Average ephemeral storage bytes reserved single value
Monitor Route 53 health check status and CloudFront distribution performance. Track connection time, time to first byte, and health check outcomes by location.
The AWS Edge Networking dashboard contains the following sections and tiles:
Route 53 health checks single value
Connection time line chart
The average time, in milliseconds, that it took Route 53 health checkers to establish a TCP connection with the endpoint.
Health checks status split donut chart
Time to first byte line chart
The average time, in milliseconds, that it took Route 53 health checkers to receive the first byte of the response to an HTTP or HTTPS request.
Route 53 hosted zones single value
Bytes uploaded line chart
The total number of bytes that viewers uploaded to CloudFront, using OPTIONS, POST and PUT requests.
CloudFront distributions error rate single value
Bytes downloaded line chart
The total number of bytes downloaded by viewers for GET and HEAD requests.
4xx error rate bar chart
The percentage of all viewer requests for which the response's HTTP status code is 4xx.
5xx error rate bar chart
The percentage of all viewer requests for which the response's HTTP status code is 5xx.
Total bytes downloaded single value
Total bytes uploaded single value
Total average connection time single value
Total average time to first byte single value
View throughput, storage size, and client connection counts for EFS file systems. Identify throughput bottlenecks and track permitted throughput utilization over time.
The AWS EFS dashboard contains the following sections and tiles:
File systems single value
Mounted targets single value
File systems by client connections categorical chart
File systems by storage size categorical chart
Percentage of permitted throughput utilization line chart
Ratio between metered IO bytes and total permitted throughput, in percentage. If you are reaching maximum capacity, then you are consuming the entire amount of throughput allocated to your file system. In this situation, you might consider changing the file system's throughput mode to get higher throughput.
Burst credit balance line chart
The number of burst credits that a file system has. Burst credits allow a file system to burst to throughput levels above a file system’s baseline level for periods of time.
Total IO bytes line chart
The actual number of bytes for each file system operation processed by Amazon EFS, without any read discounts.
Total average percentage of permitted throughput utilization single value
Monitor EKS cluster health, including pod and node resource usage, scheduler activity, and API server performance. Identify pending pods, webhook latency issues, and storage configuration.
The AWS EKS dashboard contains the following sections and tiles:
View the status and resource usage of ElastiCache clusters for both Redis/Valkey and Memcached. Track cache hits and misses, current connections, and available cluster counts.
The AWS ElastiCache dashboard contains the following sections and tiles:
Serverless caches by engine categorical chart
Cache clusters by engine categorical chart
Current connections line chart
Hits and misses by cache categorical chart
Number of successful and unsuccessful key lookups in the cache.
Available cache clusters donut chart
Available serverless caches donut chart
Evictions by cache categorical chart
Number of keys that have been evicted due to max memory limit.
Hits and misses by cache categorical chart
Number of successful and unsuccessful key lookups in the cache.
Successful read request latency line chart
Successful write request latency line chart
Network bytes in (host) line chart
Network bytes out (host) line chart
CPU utilization (host) line chart
The percentage of CPU utilization for the entire host.
Freeable memory (host) line chart
The amount of free memory available on the host.
Engine CPU utilization line chart
Bytes used line chart
Total network bytes in (host) single value
Total network bytes out (host) single value
Average successful read request latency single value
Average successful write request latency single value
Network bytes out line chart
Network bytes in line chart
Total network bytes in single value
Total network bytes out single value
Unused memory line chart
Engine memory usage line chart
Bytes used line chart
Cache hit rate line chart
Efficiency of the cache instance. If the cache ratio is lower than about 0.8, it means that a significant number of keys are evicted, expired, or don't exist.
Cache hit rate line chart
Efficiency of the cache instance. If the cache ratio is lower than about 0.8, it means that a significant number of keys are evicted, expired, or don't exist.
Monitor ALB, Classic, and NLB load balancers. Track 4xx/5xx error rates, target health, and response times to identify unhealthy backends or load balancers under excessive error load.
The AWS ELB dashboard contains the following sections and tiles:
Target 4xx responses single value
Target 5xx responses single value
ALB target error rate single value
Percentage of errors generated by the targets in a given period.
Target error and successful requests by load balancer categorical chart
ELB 4xx responses single value
ALB error rate single value
Percentage of errors hat originate from the load balancer in a given period.
ELB 5xx responses single value
ELB error and successful requests by load balancer categorical chart
Target response time line chart
The time elapsed, in seconds, after the request leaves the load balancer until the target starts to send the response headers through time in a given period.
Requests line chart
The number of requests processed over IPv4 and IPv6 through time in a given period. This metric is only incremented for requests where the load balancer node was able to choose a target. Requests that are rejected before a target is chosen are not reflected in this metric.
Healthy and unhealthy hosts by load balancer categorical chart
ALB unhealthy rate single value
Percentage of targets that are considered unhealthy in a given period.
Healthy hosts single value
Unhealthy hosts single value
Active connections single value
New connections single value
Total processed bytes single value
Consumed capacity units single value
CLB backend error rate single value
Percentage of HTTP response codes generated by registered instances in a given period.
Backend 4xx responses single value
Backend 5xx responses single value
Backend error and successful requests by load balancer categorical chart
Requests line chart
The number of requests completed or connections made during the specified interval through time in a given period.
Backend connection errors line chart
The number of connections that were not successfully established between the load balancer and the registered instances through time in a given period.
Backend connection errors by load balancer categorical chart
ELB 4xx responses single value
ELB 5xx responses single value
Latency line chart
The total time elapsed, in seconds, from the time the load balancer sent the request to a registered instance until the instance started to send the response headers through time in a given period.
CLB unhealthy rate single value
Percentage of unhealthy instances registered with your load balancer in a given period.
Healthy hosts single value
Unhealthy hosts single value
Healthy and unhealthy hosts by load balancer categorical chart
Distribution of healthy and unhealthy instances registered with your load balancer in a given period.
Total processed bytes single value
The total number of bytes processed by the load balancer, including TCP/IP headers in a given period. This count includes traffic to and from targets, minus health check traffic.
Consumed capacity units single value
The number of load balancer capacity units (LCU) used by your load balancer in a given period.
Active flows single value
The total number of concurrent flows (or connections) from clients to targets in a given period.
New flows single value
The total number of new flows (or connections) established from clients to targets in a given period.
NLB unhealthy rate single value
Percentage of targets that are considered unhealthy in a given period.
Healthy hosts single value
Unhealthy hosts single value
Healthy and unhealthy hosts by load balancer categorical chart
Total TCP target resets single value
The total number of reset (RST) packets sent from a target to a client in a given period. These resets are generated by the target and forwarded by the load balancer.
Total TCP ELB resets single value
The total number of reset (RST) packets generated by the load balancer in a given period.
Total TCP client resets single value
The total number of reset (RST) packets sent from a client to a target in a given period. These resets are generated by the client and forwarded by the load balancer.
Track EventBridge event flow and reliability. Monitor matched events, invocation attempts, and ingestion-to-invocation latency to identify delivery delays or failures.
The AWS EventBridge dashboard contains the following sections and tiles:
Ingestion to invocation start latency line chart
The time to process events, measured from when an event is ingested by EventBridge to the first invocation of a target.
Invocation attempts line chart
Number of times EventBridge attempted invoking a target.
Active EventBridge instances single value
Number of all active event buses in the environment.
Ingestion to invocation success latency line chart
The time taken from event ingestion to successful target delivery, using the invocation end time as cutoff.
Matched events donut chart
The number of events that matched with any rule.
Triggered rules donut chart
The number of rules that have run and matched with any event.
Throttled rules donut chart
The number of times rule execution was throttled.
Ingestion to invocation complete latency line chart
The time taken from event ingestion to completion of the first invocation attempt.
invocation attempts categorical chart
Number of times each target EventBus was successfully invoked.
Successful invocation attempts single value
A percentage of times target was successfully invoked.
Monitor AWS NAT Gateway connection status and PrivateLink endpoint performance. Track active connections, packet flows, and port allocation errors to diagnose network path issues.
The AWS Foundation Networking dashboard contains the following sections and tiles:
Total bytes received from destination single value
Total bytes sent to destination single value
Bytes received from destination line chart
The number of bytes received by the NAT gateway from the destination.
Bytes sent to destination line chart
The number of bytes sent out through the NAT gateway to the destination.
Total bytes received from source single value
Total bytes sent to source single value
Bytes received from source line chart
The number of bytes received by the NAT gateway from clients in your VPC.
Bytes sent to source line chart
The number of bytes sent through the NAT gateway to the clients in your VPC.
Bytes processed line chart
The number of bytes exchanged between endpoint services and endpoints, in both directions.
Reset packets sent line chart
Percentage of established connections through NAT gateways single value
The percentage established connections made through the NAT gateway in a given period.
NAT gateways single value
Number of NAT Gateways in the environment.
Bytes processed line chart
The number of bytes exchanged between endpoints and endpoint services, aggregated in both directions. This is the number of bytes billed to the owner of the endpoint.
Packets dropped line chart
PrivateLink connections single value
The number of endpoints connected to all endpoint services.
Active connections by endpoint service ID categorical chart
Active connections by service name bar chart
Reset packets received line chart
View account-specific and public AWS health events by region, account, and service. Filter between event categories to quickly assess the impact of AWS service disruptions on your environment.
The AWS Health Events dashboard contains the following sections and tiles:
Monitor Lambda function invocations, error rates, duration, and concurrency. View per-function error counts to identify failing functions and track execution trends over time.
The AWS Lambda dashboard contains the following sections and tiles:
Concurrent executions line chart
Number of function instances that are actively processing events at given time.
Duration line chart
The amount of time that function code spends processing an event - does not include cold start time.
Errors line chart
Time series of invocations that result in a function error.
Function invocations and error count categorical chart
The invocations count in comparison to the invocation that resulted in an error.
Errors % single value
Percentage value of invocations that resolved in errors for every Lambda function that fits filtering.
Throttles single value
Percentage value of execution of Lambda functions to that were limiting to prevent overwhelming the function.
Errors single value
Count of invocations that resolved in errors for every Lambda function that fits filtering.
Invocations single value
Total number of invocations for every Lambda function that fits filtering.
Async events dropped table
The number of asynchronous events that were dropped without being successfully processed.
Throttles line chart
The number of invocation requests that were throttled because the concurrency limit was exceeded.
Post runtime extensions duration table
The time spent by Lambda Extensions to complete final tasks, after your function's code has finished executing.
Track throughput, replication health, and connection status for MSK Kafka clusters. Monitor bytes in/out per second and messages per second to detect bottlenecks or replication lag.
The AWS Managed Streaming for Apache Kafka dashboard contains the following sections and tiles:
High-level view of EC2 instances alongside CloudWatch logs and service problems. See instance distribution by type, availability zone, and account, plus network I/O trends.
The AWS Overview dashboard contains the following sections and tiles:
Analyze RDS instance storage, network throughput, and query latency. Monitor read and write latency, free storage space, and swap usage to detect performance degradation early.
The AWS RDS dashboard contains the following sections and tiles:
Write latency line chart
Read latency line chart
Free storage space line chart
Freeable memory line chart
The amount of available random access memory.
Volume bytes used line chart
Read IO operations table
The number of billed read I/O operations from a cluster volume within a 5-minute interval.
Write IO operations table
The number of write disk I/O operations to the cluster volume, reported at 5-minute intervals.
Identify S3 buckets with high error rates relative to their request volume. Track 4xx and 5xx errors, request counts by bucket, and latency trends.
The AWS S3 dashboard contains the following sections and tiles:
S3 buckets single value
Request count by bucket categorical chart
Error rate by bucket categorical chart
4xx errors line chart
5xx errors line chart
Request latency line chart
The elapsed per-request time from the first byte received to the last byte sent to an Amazon S3 bucket.
Bytes downloaded line chart
Bytes uploaded line chart
Total bytes downloaded single value
Total bytes uploaded single value
First byte latency line chart
The elapsed per-request time from the first byte received to the last byte sent to an Amazon S3 bucket.
Average request latency single value
The elapsed per-request time from the first byte received to the last byte sent to an Amazon S3 bucket.
Average first byte latency single value
The elapsed per-request time from the first byte received to the last byte sent to an Amazon S3 bucket.
Total 4xx error count single value
Get request line chart
Total count of GET requests for all buckets single value
Total 4xx error count single value
Head requests count line chart
The number of HEAD requests made for objects in an S3 bucket.
All requests count single value
View the delivery status of SNS notifications, including total published messages, failed deliveries, and filtered-out notifications across topics.
The AWS SNS dashboard contains the following sections and tiles:
Track message flow across SQS queues, including sent, received, and deleted message counts. Monitor empty receive rates to detect idle queues or backlog buildup.
The AWS SQS dashboard contains the following sections and tiles:
Queues single value
Last age of oldest message by queue bar chart
Messages sent line chart
Empty receives line chart
Messages deleted line chart
Age of oldest message line chart
Timeseries of age of the oldest message, per queue.
Approximate messages visible line chart
Approximate messages not visible line chart
Approximate messages delayed per queue line chart
Total size of messages by queue categorical chart
Monitor Azure Application Gateway traffic and reliability. Track total and failed requests, error rates, active connections, and per-gateway throughput trends.
The Azure Application Gateway dashboard contains the following sections and tiles:
Total requests single value
Total number of requests processed in the selected timeframe and scope.
Failed requests single value
Total number of failed requests in the selected timeframe and scope.
Error rate % single value
Percentage of requests that failed (FailedRequests divided by total ResponseStatus).
Current connections single value
Total active client connections to the gateways at the time of measurement.
Throughput (bytes/s) by gateway line chart
Average data throughput (bytes per second) per gateway over time.
Failed requests by gateway line chart
Failed requests over time per gateway, ranked by total failures.
Total requests by gateway line chart
Total requests over time per gateway, ranked by volume.
Healthy hosts bar chart
Average count of healthy backend hosts per gateway over time.
Unhealthy hosts bar chart
Average count of unhealthy backend hosts per gateway over time.
HTTP status distribution line chart
Responses grouped by HTTP status class (2xx/3xx/4xx/5xx) per gateway over time.
Healthy host ratio (%) by gateway line chart
Percentage of healthy hosts out of all hosts per gateway.
Current connections by gateway line chart
Active client connections per gateway over time, ranked by total.
HTTP 4xx by gateway line chart
Client error responses (HTTP 4xx) per gateway over time.
HTTP 5xx by gateway line chart
Server error responses (HTTP 5xx) per gateway over time.
Throughput by resource group line chart
Average data throughput per resource group over time.
Failed requests (total) line chart
Trend of failed requests across the selected scope and timeframe.
Error rate % by gateway line chart
Percentage of failed requests per gateway over time.
Identify Blob Storage containers with high error rates. Track transactions, ingress and egress, and E2E and server latency to detect availability or performance issues.
The Azure Blob Storage dashboard contains the following sections and tiles:
Transactions (blob service) line chart
Egress line chart
Ingress line chart
Successful E2E latency line chart
Successful server latency line chart
Blob capacity categorical chart
Container count single value
Containers are organizers for a set of blobs.
Monitor Azure Cache for Redis instance performance. Track connected clients, command throughput, cache hit ratio, average latency, and server load to detect slowdowns or connection pressure.
The Azure Cache for Redis dashboard contains the following sections and tiles:
Connected clients line chart
Total commands processed single value
Total cache hits single value
Average latency single value
Server load line chart
The percentage of cycles in which the Redis server is busy processing and not waiting idle for messages
Processor Time line chart
The CPU utilization of the Azure Redis Cache server as a percentage
Errors line chart
Cache read line chart
Latency P99 line chart
Server latency line chart
Cache write line chart
Expired keys line chart
Evicted keys line chart
Used memory line chart
Total keys line chart
Monitor CPU, memory, and network utilization for Azure Container Apps. View HTTP error trends and active replica counts per resource to detect overloaded or failing container apps.
The Azure Container Apps dashboard contains the following sections and tiles:
Check availability, throughput, and capacity for Azure Files shares. View per-resource availability and file counts, and track latency and I/O performance over time.
The Azure Files dashboard contains the following sections and tiles:
Monitor Azure Function App execution units, error rates, and network I/O. Identify failing function apps and track 5xx error trends to detect reliability regressions.
The Azure Functions dashboard contains the following sections and tiles:
Execution Units line chart
Combines execution time and memory usage into “execution units,” useful for estimating resource consumption and optimizing memory allocation
5xx errors line chart
Errors % single value
Considering 4xx and 5xx errors for all requests
Errors single value
Considering 4xx and 5xx errors for all requests
Bytes received vs bytes sent categorical chart
Memory Working Set line chart
Amount of memory used by the Function App process
Average response time single value
Functions single value
Response time line chart
4xx errors line chart
Executions vs Requests categorical chart
Requests which ended in any function execution vs all of these requests (considering correct executions, failures and rejections)
5xx errors single value
Requests single value
All requests (considering correct executions, failures and rejections)
Executions single value
Out of all the incoming requests, the count of those which ended in any function execution
4xx errors single value
View VIP and DIP availability across Azure Load Balancer resources. Track packet counts and availability trends to identify degraded load balancer endpoints.
The Azure Load Balancer dashboard contains the following sections and tiles:
Average VIP availability single value
Average data path availability to the front-end (VIP) across the selected timeframe.
Average DIP availability single value
Average backend endpoint (DIP) health across the selected timeframe.
VIP availability by load balancer line chart
Front-end data path availability (VIP) per load balancer over time.
DIP availability by load balancer line chart
Backend endpoint health (DIP) per load balancer over time.
Packet count by load balancer line chart
Total packets processed per load balancer over time (Gateway SKU).
VIP vs DIP (by resource) table
Side-by-side view of average VIP and DIP availability per load balancer.
VIP availability (overall trend) line chart
Overall VIP availability trend across the selected scope.
DIP availability (overall trend) line chart
Overall DIP availability trend across the selected scope.
Packet count (overall trend) line chart
Total packets processed across the selected scope (Gateway SKU).
Overview of instance usage and performance with guidance to identify low performance and potential optimizations through activity.
The Azure Managed Redis dashboard contains the following sections and tiles:
Operations per second per instance bar chart
Server load line chart
The percentage of cycles in which the Redis server is busy processing and not waiting idle for messages.
CPU utilization (percentProcessorTime) line chart
The CPU utilization of the Azure Redis Cache server as a percentage.
Average cache latency single value
Cache latency per instance line chart
High-level overview of the status, usage, and reliability of your Azure OpenAI resources.
The Azure OpenAI dashboard contains the following sections and tiles:
High-level view of Azure VM instances alongside Monitor logs and service problems. See instance distribution by size, location, and subscription, plus network I/O trends.
The Azure Overview dashboard contains the following sections and tiles:
Track Azure Queue Storage transaction volumes, message I/O, and availability. Monitor ingress, egress, E2E latency, and queue capacity usage across resources.
The Azure Queue dashboard contains the following sections and tiles:
Analyze Azure SQL Database CPU usage, storage consumption, active sessions, connections, and deadlocks. Identify capacity problems and unhealthy databases quickly.
The Azure SQL Database dashboard contains the following sections and tiles:
Overview of Azure Storage Accounts covering availability, ingress and egress, latency, and throttling across blob, file, queue, and table storage types.
The Azure Storage Accounts dashboard contains the following sections and tiles:
Track transaction volumes, throughput, and latency for Azure Table Storage resources. Monitor ingress, egress, and E2E latency to identify slow or error-prone tables.
The Azure Table Storage dashboard contains the following sections and tiles:
View health, scaling, and resource utilization of Azure Virtual Machine Scale Sets. Track CPU usage per VM instance, disk I/O rates, and total instance counts.
The Azure Virtual Machine Scale Set dashboard contains the following sections and tiles:
View network, disk, and memory usage for Azure VMs. Track network in/out, disk read/write, I/O operations per second, and available memory across your VM environment.
The Azure Virtual Machines dashboard contains the following sections and tiles:
Network in (bytes) line chart
Disk read (bytes) bar chart
Disk I/O operations/sec line chart
Disk write (bytes) bar chart
Available memory (bytes) line chart
Available memory (%) line chart
CPU credits consumed line chart
CPU credits remaining line chart
OS disk latency (ms) line chart
Inbound vs outbound flows categorical chart
CPU utilization rate for 10 instances with highest usage table
The most recent percentage of physical CPU time that Amazon EC2 uses to run the EC2 instance, which includes time spent to run both the user code and the Amazon EC2 code.
Virtual machine instances per region categorical chart
Active Virtual Machines instances single value
Network out (bytes) line chart
Total Network in (bytes) single value
Total Network out (bytes) single value
Classic view of EC2 instance distribution and CloudWatch logs alongside Davis problems. Shows instance counts by type, availability zone, and account, and network I/O trends.
The Classic AWS overview dashboard contains the following sections and tiles:
Top 10 EC2 instance types categorical chart
Shows the most commonly used EC2 instance types (e.g., t2.micro, t3.nano).
Top 10 Availability zones running EC2 instances categorical chart
Highlights the top 10 AWS availability zones where EC2 instances are deployed.
Network: EC2 instances by Network in (bytes) line chart
Shows the incoming network data (in bytes) for individual EC2 instances over time.
Network: EC2 instances by Network out(bytes) line chart
Shows the outgoing network data (in bytes) for individual EC2 instances over time.
Top 10 AWS accounts with EC2 instances categorical chart
Shows the top 10 AWS accounts by the number of EC2 instances they are running. Each bar represents an account, with the length indicating the total instances.
EC2 instances single value
Displays the total count of active EC2 instances in the monitored environment.
Elastic Kubernetes Services single value
Shows the count of Elastic Kubernetes Service (EKS) clusters currently active in the AWS environment.
Auto scaling groups single value
Displays the total number of auto-scaling groups available in the AWS environment.
Top 10 accounts with EKS clusters categorical chart
Highlights the top 10 AWS accounts with the most EKS clusters, providing insights into Kubernetes resource distribution.
Top 10 AWS accounts with Autoscaling groups categorical chart
Displays the top 10 AWS accounts with the highest number of auto-scaling groups, sorted by count.
Node CPU limit line chart
Tracks the CPU limit for nodes in the environment, showing the maximum values over time for each node.
Desired Capacity line chart
Monitors the desired capacity of auto-scaling groups, showing trends in the number of instances required to meet scaling policies.
Cloud Watch error logs by log level bar chart
Shows the count of CloudWatch error logs grouped by severity over time.
EC2 CPU utilization honeycomb chart
Represents the CPU utilization of EC2 instances. Each hexagon corresponds to an instance, with colors ranging from green (low utilization) to red (high utilization).
Active Problems single value
Displays the total number of active problems detected by Davis, Dynatrace's AI engine. This chart provides a quick snapshot of the current health of your monitored environment. A value of "0" indicates no active issues requiring attention.
In Service Instances table
Tracks the average number of in-service instances within auto-scaling groups, providing insights into resource availability and usage.
Latest logs table
Displays the most recent CloudWatch logs, including timestamps, log content severity levels, service, account id and region.
Problems by region pie chart
Breaks down active problems by geographic region, helping identify areas with recurring or localized issues.
Active problem details pie chart
Provides information about currently active problems types.
Memory limit line chart
Tracks the maximum memory limits for nodes in the environment.
Databases pie chart
Visualizes the distribution of various database services in the environment, such as Amazon RDS, DynamoDB, Aurora, and others.
Storage and File System pie chart
Represents the usage of storage services such as Amazon S3, EBS, EFS, and FSx.
Serverless pie chart
Displays the count of serverless resources such as AWS Lambda, EventBridge, Step Functions, and API Gateway.
Networking and Content Delivery pie chart
Highlights the usage of networking and content delivery resources like Elastic Load Balancers, Amazon CloudFront, and Route 53.
Classic view of Azure VM distribution and Monitor logs alongside Davis problems. Shows instance counts by size, region, and subscription, and network I/O trends.
The Classic Azure overview dashboard contains the following sections and tiles:
Top 10 VM Sizes categorical chart
Lists the top 10 most commonly used VM sizes in the environment.
Top 10 regions with Azure VM categorical chart
Displays the top 10 Azure regions hosting the highest number of VMs.
Network: VM Network In Total (bytes) line chart
Tracks the total incoming network traffic (in bytes) for Azure VMs over time.
Network: VM Network Out Total (bytes) line chart
Tracks the total outgoing network traffic (in bytes) for Azure VMs over time.
Top 10 VM by Azure Subscription categorical chart
Highlights the top 10 Azure subscriptions hosting the highest number of VMs.
Azure VM's single value
Displays the total number of active Azure Virtual Machines (VMs) in the environment.
Azure Kubernetes Services single value
Displays the total number of active Azure Kubernetes Service (AKS) clusters in the environment.
VM Scale Sets single value
Displays the total number of active Azure Virtual Machine Scale Sets (VMSS) in the environment.
Top 10 AKS subscriptions categorical chart
Highlights the top 10 Azure subscriptions hosting the most AKS clusters.
Top 10 VM Scale Sets subscriptions categorical chart
Highlights the top 10 Azure subscriptions hosting the highest number of VM Scale Sets.
Azure Kubernetes Service: Memory available / cluster line chart
Monitors the memory (in GB) available per AKS cluster over time.
VM Scale Sets CPU Utilization line chart
Tracks the CPU utilization percentage for each VM Scale Set over time.
Azure Monitor error logs by service line chart
Displays a breakdown of Azure Monitor error logs grouped by service.
VM CPU utilization honeycomb chart
A hexagonal heatmap representing CPU utilization across Azure VMs. Each hexagon corresponds to a VM, with colors indicating the level of CPU usage, from low (green) to high (red).
Active Problems single value
Displays the total number of active problems detected by Davis, Dynatrace's AI engine. This chart provides a quick snapshot of the current health of your monitored environment. A value of "0" indicates no active issues requiring attention.
VM Scale Sets Network In Total (bytes) line chart
Monitors the total incoming network traffic (in bytes) for VM Scale Sets over time.
Latest logs table
Shows the most recent logs collected from Azure Monitor.
Problems by region pie chart
Breaks down active problems by geographic region, helping identify areas with recurring or localized issues.
Active problem details pie chart
Provides information about currently active problems types.
Azure Container Apps single value
Displays the total number of Azure Container Apps in the environment.
Top 10 Container Apps subscriptions categorical chart
Highlights the top 10 Azure subscriptions hosting the most container apps.
Azure Kubernetes Service: CPU cores available / cluster line chart
Tracks the number of CPU cores available per AKS cluster over time.
Container apps CPU usage / resource line chart
Tracks the CPU usage for individual Azure Container Apps over time.
Container apps Network in bytes / resource line chart
Monitors the incoming network traffic (in bytes) for individual Azure Container Apps over time.
Databases pie chart
Displays the distribution of database resources in the environment, such as Azure SQL Server.
Storage Accounts pie chart
Represents the total number of Azure Storage Accounts in the environment.
Serverless pie chart
Visualizes the distribution of serverless resources, such as App Service Plans, Function Apps, Web App Deployment Slots, and Web Apps.
Network devices pie chart
Displays data about network devices in the environment. Currently, no records are available.
Dashboards Explore ready-made dashboards owned by
Dashboards.
Hands-on introduction to dashboards with live examples. Explore visualization types including line charts, maps, heatmaps, and scatter plots using sample data sets.
The Getting started with Dashboards dashboard contains the following sections and tiles:
Databases app Explore ready-made dashboards owned by
Databases app.
Overview of monitored databases by vendor and health status. View total database service counts, services with active problems, and health distribution across your database environment.
The Databases overview dashboard contains the following sections and tiles:
Database instances by vendor pie chart
Vendors of Extensions Framework 2.0–monitored database instances.
Database services health honeycomb chart
Databases with/without active Davis problems.
Database services single value
Total amount of calling services.
Database services with problems single value
Amount of database services with active Davis problems.
Database services by vendor categorical chart
Database instances availability pie chart
Status of Extensions Framework 2.0–monitored database instances.
Total database instances single value
Total amount of Extensions Framework 2.0–monitored database instances.
Database instances with alerts single value
Extensions Framework 2.0–monitored database instances with potentially problematic availability.
Discovery & Coverage Explore ready-made dashboards owned by
Discovery & Coverage.
Monitor memory, storage, JVM GC, and network metrics for your ActiveGate instances. View distribution across network zones and groups to identify resource pressure or unhealthy nodes.
The ActiveGate diagnostic overview dashboard contains the following sections and tiles:
JVM GC time line chart
ActiveGates per network zone categorical chart
ActiveGates per group categorical chart
Agent modules connected line chart
Network traffic to/from clients line chart
Network traffic to/from Dynatrace environment line chart
Note: Chart is not drawn when no errors reported within timeframe
Explore ready-made dashboards owned by Distributed Tracing.
Get visibility into Full-Stack trace volumes and Adaptive Traffic Management. Monitor OneAgent capture rates, average span sizes, and estimate extended trace ingest costs.
The Full-Stack Adaptive Traffic Management and trace capture dashboard contains the following sections and tiles:
Full-Stack OneAgent capture rates line chart
The request capture rate represents the ratio between captured requests and the total number of transactions processed by OneAgent monitored application or host. In this chart, the blue line shows the trace capture rate and the red line shows the request capture rate over time. The metrics require at least OneAgent version 1.305.
Full-Stack trace data volume line chart
Amount of trace data ingested from Full-Stack monitored applications or hosts. The chart includes * The trace data volume captured by OneAgent and regulated by Adaptive Traffic Management (green bars). * The Full-Stack included trace volume based on the contributing Full-Stack memory-gibibytes (blue line). * The trace data volume ingested from Full-Stack monitored applications or hosts but not regulated by Adaptive Traffic Management (fullstack-fixed-rate-ingested_bytes_sum; blue bar). This includes OpenTelemetry spans and other fixed-rate traffic and can exceed the included limit; the excess will be charged.
Full-Stack trace volume bar chart
Dynatrace ingests trace data from multiple sources, which are licensed differently. * fullstack-adaptive shows trace data captured by OneAgent on Full-Stack monitored hosts and applications and regulated by Adaptive Traffic Management. * fullstack-fixed-rate shows trace data from Full-Stack monitored sources that use fixed-rate sampling (for example, OpenTelemetry spans or fixed-rate OneAgent settings). This traffic still consumes the Full-Stack included trace volume but is not automatically adjusted by Adaptive Traffic Management and can exceed the included limit, with the excess billed as Traces – Ingest & Process. * Other series (for example, serverless or OTLP-only sources) represent trace data that is not part of Full-Stack Monitoring and is not controlled by Adaptive Traffic Management. On this chart, green bars represent fullstack-adaptive, blue bars represent fullstack-fixed-rate, magenta bars represent otlp-trace-ingest, and red bars represent serverless trace data.
Full-Stack trace volume used line chart
Ingested trace volume, as a percentage of your licensed Full-Stack included trace volume. Adaptive Traffic Management keeps it around the Full-Stack included limit. The algorithm used in Dynatrace accounts for a degree of fluctuation, allowing the used trace volume to exceed 100% without extra charges * This can exceed 100% if you opted for Extended trace ingest on top of Full-Stack Monitoring , this excess will be charged. * This can exceed 100% if you sent OpenTelemetry traces or other fixed rate span data via API from Full-Stack monitored sources, this excess will be charged.
Average size of Full-Stack spans line chart
Average size of spans ingested from Full-Stack monitored applications or hosts. Typical values are in the 1.5-2 KiB range; if the span size is larger and the used trace volume is high (or the trace capture rate is low), you might be capturing a lot of data per span. In this chart, the green line shows spans from adaptive Full-Stack trace ingest (fullstack-adaptive), and the blue line shows spans from fixed-rate Full-Stack trace ingest (fullstack-fixed-rate).
Contributing Full-Stack memory-gibibyte line chart
Contributing Full-Stack memory-gibibytes from monitored hosts and applications. The blue line (contributing_gib) is derived from dt.billing.full_stack_monitoring.usage and normalized to represent contributing GiB per hour, matching the DPS Full-Stack Monitoring billing usage. This value is used to calculate your Full-Stack included trace volume (200 KiB of trace data per minute, or 3000 KiB per 15-minute interval, for each contributing GiB).
Adaptive trace volume per contributing memory-gibibytes per minute area chart
Average adaptive trace volume every 15 minutes (trace_volume_per_gibh; green area). Full-Stack Monitoring starts from 200 KiB/min of trace volume per contributing GiB (3000 KiB per 15-minute interval), which is highlighted by the threshold line in the chart.
Fixed rate trace volume per contributing memory-gibibytes per minute area chart
Average fixed-rate trace volume every 15 minutes for fixed-rate Full-Stack traces (trace_volume_per_gibh; blue area). This helps you compare fixed-rate trace volume per contributing GiB with the default 200 KiB/min (3000 KiB per 15-minute interval) included with Full-Stack Monitoring; thresholds highlight when volume per GiB approaches or exceeds this level.
Full-Stack trace ingest and billable extended ingest line chart
The relationship between the amount of ingested trace data (included_ingested_byte_sum; green bar) and the Full-Stack included trace volume (included_limit; blue line). If you opted for Extended trace ingest for Full-Stack Monitoring, Adaptive Traffic Management adjusts trace ingest against the configured limit (configured_limit; red line), and the extended trace volume charged via Traces – Ingest & Process is shown as billingAmount (orange bar).
Full-Stack extended trace ingest calculator line chart
Use this chart to simulate Extended trace ingest for Full-Stack Monitoring. Set the ExtraIngestFactor dashboard variable to specify how many times above the Full-Stack included trace volume you want to configure. The chart shows the Full-Stack included limit (included_limit; blue line), the predicted configured limit (predicted_configured_limit; red line), the trace volume covered by the included limit (included_ingested_byte_sum; green bar), and the predicted billable extended ingest (predicted_billing_amount; orange bar). The current ExtraIngestFactor is $ExtraIngestFactor.
Predicted extended ingest billable amount single value
Total predicted Extended trace ingest that will be billed for the selected timeframe, based on the configured ExtraIngestFactor.
Explore ready-made dashboards owned by Dynatrace Assist.
Track adoption of Dynatrace generative AI features on your tenant. View unique active users, query execution details, usage by skill, and interaction failure rates.
The Generative AI feature adoption dashboard contains the following sections and tiles:
Query execution details table
Number of unique users single value
The number of individual users who have interacted with any of the generative AI functionalities over the selected time frame.
Most active users categorical chart
Top 10 most active users in the selected time frame.
Failed NL2DQL interaction details table
Tip: Try out Open with… > Davis CoPilot on the "response" column to understand why the generated DQL is considered invalid
Usage breakdown by skill table
Query executions by app categorical chart
Number of unique users over time line chart
Query executions by app over time line chart
Failed chat interaction details table
Most frequently asked about topics in Davis CoPilot Chat table
Davis CoPilot automatically generates a high-level topic for each prompt. This table provides and overview of the top 50 topics that are asked organically, from embedded app prompts, and via the Davis CoPilot workflow action.
DQL2NL issues table
Success rate over time line chart
Execution duration over time line chart
Average duration of how long it take to execute user prompts by skill, and how this develops over time.
Recent question details: Davis CoPilot Chat table
Recent organic questions being asked in the Davis CoPilot chat. This excludes prompts embedded in apps, and excludes workflow action prompts.
Recent question details: Quick Analysis table
Feedback details table
Total chat invocations single value
Usage by skill categorical chart
Number of successful and unsuccessful skill invocations (interactions with different functionalities).
Success rate by skill categorical chart
NL2DQL issues donut chart
Chat issues donut chart
DQL2NL issues donut chart
Most recent question: Davis CoPilot Chat single value
Most recent question: Quick Analysis single value
Topics triggering guardrails in Davis CoPilot Chat table
Davis CoPilot automatically generates a high-level topic for each prompt. This table provides and overview of the top 50 topics that are asked organically, from embedded app prompts, and via the Davis CoPilot workflow action.
Invocations with feedback single value
DQL2NL Feedback Rate single value
Total NL2DQL invocations single value
Total DQL2NL invocations single value
Embedded chat prompts categorical chart
Overview of usage of embedded conversation starters: copilot-conv-starters. This is a sub-section of "DAVIS COPILOT" usage in the charts to the left of this one.
Negative feedback breakdown categorical chart
Usage by app line chart
Breakdown of all invocations by the primary app in which the skill is integrated. "Davis CoPilot" refers to the chat app.
Usage by skill line chart
Breakdown of all invocations by skill across all apps.
Usage by app donut chart
Breakdown of all invocations by the primary app in which the skill is integrated. "Davis CoPilot" refers to the chat app.
Usage by skill donut chart
Breakdown of all invocations by skill across all apps.
Experience Vitals Explore ready-made dashboards owned by
Experience Vitals.
Track Digital Experience data retention volumes and query usage. View daily query volume by app, retained data across buckets, and total query counts by timeframe.
The Digital Experience retain and query usage dashboard contains the following sections and tiles:
Investigate loaded frontend resources by performance and size. View decoded, download, and encoded size by resource asset, and identify resources contributing most to page load time.
The Frontend resource analysis dashboard contains the following sections and tiles:
Investigate mobile app start performance by version and geography. View cold and warm start trends for the slowest versions and identify individual sessions with the longest startup times.
The Mobile app start health dashboard contains the following sections and tiles:
Investigate crashes, ANRs, and errors across mobile frontends. Track top errors, crash and ANR trends, and request error counts by release version to diagnose regressions.
The Mobile troubleshooting dashboard contains the following sections and tiles:
Investigate web frontend navigation performance and JavaScript errors. Track page load time, Core Web Vitals (LCP, CLS, FID), and the top slowest navigations.
The Page performance & errors dashboard contains the following sections and tiles:
Investigate XHR and fetch request performance trends. View request duration, time to first byte, and the most frequent, slowest, and most frequently failing XHR calls.
The XHR performance dashboard contains the following sections and tiles:
Extensions Explore ready-made dashboards owned by
Extensions.
View data consumption by extension and configuration. Identify the top 20 extensions and IP addresses by datapoints ingested to spot unexpected or excessive data producers.
The Extension data consumption dashboard contains the following sections and tiles:
Infrastructure & Operations Explore ready-made dashboards owned by
Infrastructure & Operations.
Overview of host health, resource hotspots, and log activity across your environment. View host states, average CPU and memory usage, and the most problematic hosts.
The Infrastructure Observability Dashboard dashboard contains the following sections and tiles:
Hosts states pie chart
Average resources usage line chart
Top $TopLimit hosts by problems honeycomb chart
Click on honeycomb to see the name of the host tooltip and click in "Open with…" to view host details in the Infrastructure & Operations app. This chart is affected but the "TopLimit" variable.
Total hosts single value
Hosts availability single value
Average availability for all hosts. Only active hosts are counted in. Availability is reported every couple of minutes, thus timeframe should include at least 5 minutes period.
Top $TopLimit processes by highest CPU line chart
This chart is affected by the "TopLimit" variable.
Top $TopLimit hosts by lowest availability honeycomb chart
Click on honeycomb to see the name of the host tooltip and click in "Open with…" to view host details in the Infrastructure & Operations app. This chart is affected by the "TopLimit" variable.
Top $TopLimit hosts by highest CPU load line chart
This chart is affected by the "TopLimit" variable.
Top $TopLimit hosts by highest memory consumption line chart
This chart is affected by the "TopLimit" variable.
Top $TopLimit hosts by highest disk usage line chart
This chart is affected by the "TopLimit" variable.
Total traffic single value
Calculated as sum of inbound and outbound traffic for all hosts within a dashboard timeframe.
Top $TopLimit hosts by highest network traffic line chart
This chart is affected by the "TopLimit" variable.
Hosts cloud types pie chart
Average CPU for Cloud types table
Hosts Hypervisor type pie chart
Average CPU for Hypervisor types table
Hosts with problems single value
Counts hosts with problems that were reported at least within 6 hours of timeframe end date.
Hosts network traffic line chart
Average CPU and memory usage across all processes line chart
Hosts monitoring modes pie chart
Hosts reaching resource saturation (CPU, memory or disk) table
Click on a specific id field in the table below and select "Open with…" to view host details in the Infrastructure & Operations app.
Events distribution by type pie chart
15 hosts with highest utilization (5 highest CPU, 5 highest memory, 5 highest disk usages) table
Click on a specific id field in the table below and select "Open with…" to view host details in the Infrastructure & Operations app.
Analyze AWS VPC network flow logs. View top source and destination address pairs, inter-VPC traffic, port distributions, and transit gateway flows.
The Network analytics dashboard contains the following sections and tiles:
Traffic types pie chart
For more info about traffic paths recorded in flow logs see: Flow log records - Amazon Virtual Private Cloud
Top 100 source addresses and ports table
Top 10 source ports donut chart
Analyze network device and interface performance. View interface health states, top interfaces by inbound and outbound load, and those with the highest discards and errors.
The Network devices dashboard contains the following sections and tiles:
Interfaces in Up/Down state table
The list of network device interfaces in administratively up and operationally down state. Open in another application by going into cell action menu and selecting "Open with…" option.
Top $TopLimit interfaces by inbound load line chart
Load is calculated as current interface traffic per second divided by interface maximum speed.
Top $TopLimit interfaces by outbound load line chart
Load is calculated as current interface traffic per second divided by interface maximum speed.
Top $TopLimit interfaces by discards and errors table
The sorted list of the network interfaces with the top most inbound and outbound errors rates, inbound and outbound discards rates.
Top $TopLimit interfaces by inbound traffic line chart
Load is calculated as current interface traffic.
Top $TopLimit interfaces by outbound traffic line chart
Load is calculated as current interface traffic.
Total network devices single value
The number of network devices monitored in the environment. Unaffected by dashboard variables, displays total value for this tenant.
Devices with problems single value
Can be filtered by "NetworkDevices" variable. If filtered, will display value only for selected devices.
Top $TopLimit devices by lowest reachability honeycomb chart
Reachability for configured devices. Can be filtered by "NetworkDevices" variable. More info on the topic: synthetic-monitoring To see details, click on chart sparkline, hover over "dt.entity.network:device", select "Open with…" option to open device in other applications.
Total problems single value
Can be filtered by "NetworkDevices" variable. If filtered, will display value only for selected devices.
Top $TopLimit devices by memory usage line chart
Can be filtered by "TopLimit", "NetworkDevices" variables. To see details, click on chart sparkline, hover over "dt.entity.network:device", select "Open with…" option to open device in other applications.
Top $TopLimit devices by CPU usage line chart
Can be filtered by "TopLimit", "NetworkDevices" variables. To see details, click on chart sparkline, hover over "dt.entity.network:device", select "Open with…" option to open device in other applications.
Top $TopLimit devices by network traffic categorical chart
Can be filtered by "TopLimit", "NetworkDevices" variables. Traffic is counted for last 3 minutes of a timeframe. To see details, click on chart sparkline, hover over "dt.entity.network:device", select "Open with…" option to open device in other applications.
Top $TopLimit devices by interfaces saturation categorical chart
If chart is empty, that means there's no saturated devices at the moment. Can be filtered by "TopLimit", "NetworkDevices" variables.
Saturated devices single value
Can be filtered by "TopLimit", "NetworkDevices" variables.
Saturated interfaces single value
Can be filtered by "TopLimit", "NetworkDevices" variables.
Total traffic single value
Displays total in/out traffic for all devices. Can be filtered by "NetworkDevices" variable. Value is calculated as average of inbound and outbound traffic for latest 10 minutes.
Errors outbound single value
Can be filtered by "NetworkDevices" variable. If filtered, will display metric value only for selected devices.
Discards outbound single value
Can be filtered by "NetworkDevices" variable. If filtered, will display metric value only for selected devices.
Discards inbound single value
Can be filtered by "NetworkDevices" variable. If filtered, will display metric value only for selected devices.
Top $TopLimit devices by Up/Down interfaces categorical chart
Can be filtered by "TopLimit", "NetworkDevices" variables.
Errors inbound single value
Can be filtered by "NetworkDevices" variable. If filtered, will display metric value only for selected devices.
View an environment-level summary of network interface health. Track total traffic, inbound and outbound discards and errors, and nodes with interfaces in a down state.
The Network performance dashboard contains the following sections and tiles:
Node interfaces up/down single value
The number of network device interfaces is in an administratively up and operationally down state.
Inbound discards single value
The inbound discard rate for all interfaces of all devices in the environment.
Total traffic single value
The sum of the input and output traffic for all interfaces of all devices in the environment.
Outbound discards single value
The outbound discard rate for all interfaces of all devices in the environment.
Outbound errors single value
The outbound error rate for all interfaces of all devices in the environment.
Inbound errors single value
The inbound discard rate for all interfaces of all devices in the environment.
Monitored devices single value
The number of network devices monitored in the environment.
Open device problems single value
The number of open Problems affecting network devices.
Interfaces in Up/Down state table
The list of network device interfaces in administratively up and operationally down state.
Inbound line chart
Load is calculated as current interface traffic per second divided by interface maximum speed.
Outbound line chart
Load is calculated as current interface traffic per second divided by interface maximum speed.
Top 50 interfaces by discards and errors table
The sorted list of the network interfaces with the top most inbound and outbound errors rates, inbound and outbound discards rates.
Kubernetes Explore ready-made dashboards owned by
Kubernetes.
View resource utilization and scale for a Kubernetes cluster. Track CPU, memory, and pod utilization alongside requests commitment to understand capacity headroom.
The Kubernetes cluster dashboard contains the following sections and tiles:
Troubleshoot Dynatrace Kubernetes platform monitoring and Prometheus integration. Identify failing queries, high-latency endpoints, and error patterns across the monitoring stack.
The Kubernetes monitoring statistics dashboard contains the following sections and tiles:
Top endpoints average queries per minute categorical chart
List the top number of average API requests per minute to endpoints of monitored Kubernetes clusters.
Failing queries per minute line chart
Shows the number of failed API requests per minute to endpoints of monitored Kubernetes clusters.
Successful queries per minute line chart
Shows the number of successful API requests per minute to endpoints of monitored Kubernetes clusters in the last 2 hours.
Average latency successful queries line chart
Shows the average latency of successful API requests to endpoints of monitored Kubernetes clusters.
Failing queries table
List the top number of failed API requests to endpoints of monitored Kubernetes clusters.
Availability of in-cluster ActiveGates table
List the availability of ActiveGate workloads in monitored Kubernetes clusters.
Analyze resource allocation of all pods within a Kubernetes namespace. View pod counts, CPU and memory utilization, and namespace contribution to overall cluster capacity.
The Kubernetes namespace - pods dashboard contains the following sections and tiles:
Track CPU and memory usage distribution across workloads in a Kubernetes namespace. View resource quotas, usage per workload, and overall namespace resource distribution.
The Kubernetes namespace - workloads dashboard contains the following sections and tiles:
Understand how pods consume resources on a specific Kubernetes node. View CPU, memory, and pod utilization alongside requests-based utilization percentages.
The Kubernetes node - pods dashboard contains the following sections and tiles:
Inspect utilization and capacity of persistent volume claims in your cluster. Track volume usage trends, usage changes over time, and storage distribution across namespaces.
The Kubernetes persistent volumes dashboard contains the following sections and tiles:
Explore ready-made dashboards owned by
Logs app.
Monitor log ingest volume, pipeline health, and storage statistics. Identify top log producers, ingest errors, and non-persisted records to keep your logging pipeline healthy.
The Log ingest overview dashboard contains the following sections and tiles:
Monitor log query volume and associated costs as the environment admin. View daily, weekly, and monthly query counts alongside billable usage to track spending trends.
The Log query usage and costs dashboard contains the following sections and tiles:
Explore ready-made dashboards owned by Microsoft Defender Cloud.
Identify coverage gaps in container image scanning from Microsoft Defender. View scan coverage by product and see the latest 50 scan events across registries, repositories, and images.
The Container Scan Events Coverage dashboard contains the following sections and tiles:
Visualize Microsoft Defender container vulnerability findings by risk level. Break down critical and high findings by registry and repository to prioritize remediation.
The Container Vulnerability Findings dashboard contains the following sections and tiles:
Reduce container alert noise by correlating Microsoft Defender vulnerability findings with runtime context. View which findings affect running containers versus only repositories.
The Runtime contextualization of container findings for alert reduction dashboard contains the following sections and tiles:
Overview of security findings from Microsoft Defender by risk level. View affected objects and the latest 50 findings to focus remediation on the highest-risk issues.
The Security findings dashboard contains the following sections and tiles:
View security product coverage and scan event ingestion from Microsoft Defender for Cloud. Track reporting providers, event counts over time, and runtime coverage of hosts and container workloads.
The Security product coverage dashboard contains the following sections and tiles:
Visualize Microsoft Defender vulnerability findings by risk level. Identify top vulnerable components, affected objects, and the spread of critical and high findings by object type.
The Vulnerability Findings dashboard contains the following sections and tiles:
Explore ready-made dashboards owned by Microsoft Sentinel.
Overview of Microsoft Sentinel security findings by risk level. View affected objects and the latest 50 findings to focus remediation on the highest-risk issues.
The Security findings dashboard contains the following sections and tiles:
View security product coverage and scan event ingestion from Microsoft Sentinel. Track reporting products, scan event counts over time, and runtime coverage of hosts and container workloads.
The Security product coverage dashboard contains the following sections and tiles:
Explore ready-made dashboards owned by OpenPipeline.
View data ingest volumes and pipeline activity for OpenPipeline. Compare OpenPipeline versus classic pipeline usage, track records by Grail bucket, and monitor configuration changes.
The OpenPipeline usage overview dashboard contains the following sections and tiles:
Incoming records line chart
Check number of incoming records by configuration (logs, spans, metrics,…). Identify unexpected increases or decreases in incoming data.
Ratio of records by Grail bucket area chart
See where records are stored within Grail.
Logs OpenPipeline vs. classic processing pipeline area chart
Config changes table
Stored records in % line chart
Understand if a configuration change resulted in an unexpected increase or decrease in stored records.
Ratio of records by ingest source area chart
See through which ingest sources records come into OpenPipeline.
Ratio of records by route name area chart
See where records are routed to. For logs and business events records that go to the classic pipeline go via the route "default".
Ratio of records by pipeline area chart
See through which pipelines records come into OpenPipeline.
Not stored records line chart
Check the number of discarded records by configuration (logs, spans, metrics, …). Records can be discarded by intentionally dropping them, by not persisting them in storage, or because the data is invalid.
Share of not stored records per pipeline line chart
See how many records are persisted in each pipeline during the routing phase. Note that records can also be dropped in the ingest source, which is not visible in this chart.
Share of not stored records by reason line chart
See the ratio of records not stored to records ingested, split by the reason for not storing. The reason can be not_persisted, intentionally_dropped, not_valid, internal_error, or buffer_overflow if the record is too large.
Ingested records per configuration line chart
Total ingested records per configuration area chart
Total events per type honeycomb chart
Explore ready-made dashboards owned by OpenTelemetry.
View the status and throughput of all connected OpenTelemetry Collectors. Track active collectors, request counts, spans, metrics, and network traffic across the collector fleet.
The OpenTelemetry Collector - all Collectors dashboard contains the following sections and tiles:
Active Collectors (24h) table
This tile lists all OpenTelemetry Collector instances that have recently sent data to Dynatrace.
Request count totals line chart
This tile shows a timeseries of the HTTP request count of the OpenTelemetry Collectors. Note: Future versions of this dashboard will not include deprecated semantic conventions such as rpc.server.duration and rpc.client.duration. Please update your Collector to a version which uses rpc.server.call.duration and rpc.client.call.duration such as the Dynatrace distribution of the OpenTelemetry Collector v0.45.0 or later.
Span totals table
This tile shows how many spans have been accepted/refused by the receivers, and how many have been sent/failed by the exporters of the OpenTelemetry Collectors.
Active Collectors (2m) single value
This tile shows the number of OpenTelemetry Collectors that have sent data to Dynatrace within the last two minutes, and are therefore considered active.
Total collectors (24h) single value
This tile shows the number of OpenTelemetry Collectors that have sent data to Dynatrace within the last 24 hours.
Span totals line chart
This tile shows a timeseries of all spans that have passed through the OpenTelemetry Collectors.
Metric datapoint totals line chart
This tile shows a timeseries of all metric datapoints that have passed through the OpenTelemetry Collectors.
Log totals line chart
This tile shows a timeseries of all logs that have passed through the OpenTelemetry Collectors.
Metric datapoint totals table
This tile shows how many metric datapoints have been accepted/refused by the receivers, and how many have been sent/failed by the exporters of the OpenTelemetry Collectors.
Log record totals table
This tile shows how many logs have been accepted/refused by the receivers, and how many have been sent/failed by the exporters of the OpenTelemetry Collectors.
Top 5 collectors by resident set size (last 10m) table
This tile shows the top 5 OpenTelemetry Collectors ordered by their resident set size.
Top 5 collectors by otelcol_process_cpu_seconds (last 10m) table
This tile shows the top 5 OpenTelemetry Collectors ordered by their CPU time.
Request size average line chart
This tile shows a timeseries of the average HTTP request size of the OpenTelemetry Collectors.
Request duration average line chart
This tile shows a timeseries of the average HTTP request duration of the OpenTelemetry Collectors. Note: Future versions of this dashboard will not include deprecated semantic conventions such as rpc.server.duration and rpc.client.duration. Please update your Collector to a version which uses rpc.server.call.duration and rpc.client.call.duration such as the Dynatrace distribution of the OpenTelemetry Collector v0.45.0 or later.
Requests by collector instance table
This tile shows the total incoming and outgoing requests to and from each collector instance. Note: Future versions of this dashboard will not include deprecated semantic conventions such as rpc.server.duration and rpc.client.duration. Please update your Collector to a version which uses rpc.server.call.duration and rpc.client.call.duration such as the Dynatrace distribution of the OpenTelemetry Collector v0.45.0 or later.
HTTP requests from the collector, by status code table
This tile lists the number of HTTP requests sent by the OpenTelemetry Collectors by their status code.
Total physical memory (resident set size) line chart
This tile shows a timeseries of the memory consumption of each OpenTelemetry Collector.
Total CPU user and system time in seconds line chart
This tile shows a timeseries of the CPU user and system time of each OpenTelemetry Collector.
Drill into the performance of a single OpenTelemetry Collector. Monitor request counts, span and metric datapoint throughput, log totals, HTTP traffic, and queue size.
The OpenTelemetry Collector - single Collector dashboard contains the following sections and tiles:
Request count line chart
This tile shows a timeseries of the incoming HTTP request count of the OpenTelemetry Collector.
Span totals table
This tile shows how many spans have been accepted/refused by the receivers, and how many have been sent/failed by the exporters of the selected OpenTelemetry Collector instance.
Span totals line chart
This tile shows a timeseries of all spans that have passed through the selected OpenTelemetry Collector instance.
Metric datapoint totals line chart
This tile shows a timeseries of all metric datapoints that have passed through the selected OpenTelemetry Collector instance.
Log totals line chart
This tile shows a timeseries of all logs that have passed through the selected OpenTelemetry Collector instance.
Metric datapoint totals table
This tile shows how many metric datapoints have been accepted/refused by the receivers, and how many have been sent/failed by the exporters of the selected OpenTelemetry Collector instance.
Log record totals table
This tile shows how many logs have been accepted/refused by the receivers, and how many have been sent/failed by the exporters of the selected OpenTelemetry Collector instance.
Request size line chart
This tile shows a timeseries of the average incoming HTTP request size of the OpenTelemetry Collector.
Request duration line chart
This tile shows a timeseries of the average incoming HTTP request duration of the OpenTelemetry Collector.
Total physical memory (resident set size) line chart
This tile shows a timeseries of the memory consumption of the OpenTelemetry Collector.
Total CPU user and system time line chart
This tile shows a timeseries of the CPU user and system time of the OpenTelemetry Collector.
Exporter current queue size line chart
This tile shows a timeseries of the current exporter queue size of the OpenTelemetry Collector.
Exporter queue capacity line chart
This tile shows a timeseries of the exporter queue capacity of the OpenTelemetry Collector.
Batch size (items) line chart
This tile shows a timeseries of the batch size (in items) of the OpenTelemetry Collector.
Request count line chart
This tile shows a timeseries of the outgoing HTTP request count of the OpenTelemetry Collector.
Request size line chart
This tile shows a timeseries of the average outgoing HTTP request size of the OpenTelemetry Collector.
Request duration line chart
This tile shows a timeseries of the average outgoing HTTP request duration of the OpenTelemetry Collector.
Request count line chart
This tile shows a timeseries of the incoming RPC request count of the OpenTelemetry Collector.
Request duration line chart
This tile shows a timeseries of the average incoming RPC request duration of the OpenTelemetry Collector.
Request count line chart
This tile shows a timeseries of the outgoing RPC request count of the OpenTelemetry Collector.
Request duration line chart
This tile shows a timeseries of the average outgoing RPC request duration of the OpenTelemetry Collector.
Batch size (bytes) line chart
This tile shows a timeseries of the batch size (in bytes) of the OpenTelemetry Collector.
Batch processor send trigger line chart
This tile shows a timeseries of the batch processor send triggers of the OpenTelemetry Collector.
Overview of Kubernetes cluster performance based on OpenTelemetry data. Track CPU, memory, pod utilization, and requests commitment across nodes, pods, and containers.
The OpenTelemetry K8s Cluster dashboard contains the following sections and tiles:
CPU Utilization single value
CPU utilization on cluster
Memory Utilization single value
Memory utilization on cluster
Pod Utilization single value
Pod utilization on cluster
CPU Requests Commitment single value
CPU requests commitment on cluster
Memory Requests Commitment single value
Memory requests commitment on cluster
CPU Limits Commitment single value
CPU limits commitment on cluster
Memory Limits Commitment single value
Memory limits commitment on cluster
CPU Usage per Namespace area chart
CPU usage per namespace on cluster
CPU Quota table
CPU quota per namespace on cluster
Memory Usage per Namespace area chart
Memory usage per namespace on cluster
Memory Quota table
Memory quota per namespace on cluster
Receive Bandwidth area chart
Network receive bandwidth per namespace on cluster
Transmit Bandwidth area chart
Network transmit bandwidth per namespace on cluster
Rate of Received Errors area chart
Rate of received errors per namespace on cluster
Rate of Transmitted Errors area chart
Rate of transmitted errors per namespace on cluster
Average Pod Bandwidth by Namespace: Received area chart
Average pod receive bandwidth per namespace on cluster
Average Pod Bandwidth by Namespace: Transmitted area chart
Average pod transmit bandwidth per namespace on cluster
Network Usage table
Network usage per namespace on cluster
Nodes single value
Number of nodes on cluster
Namespaces single value
Number of namespaces on cluster
Pods single value
Number of pods on cluster
Containers single value
Number of containers on cluster
Workloads single value
Number of workloads on cluster
Warning Events single value
Number of warning events on cluster
Node condition categorical chart
Number of active node conditions on cluster
Pod phase categorical chart
Number of pod phases on cluster
View pod resource allocation in a Kubernetes namespace using OpenTelemetry data. Track CPU and memory requests utilization and namespace contribution to cluster capacity.
The OpenTelemetry K8s Namespace - Pods dashboard contains the following sections and tiles:
Cluster CPU Utilization Contribution single value
Percentage of how much the CPU usage of this namespace contributes to the overall CPU usage
Cluster Memory Utilization Contribution single value
Percentage of how much the memory usage of this namespace contributes to the overall memory usage
Pods single value
Number of pods in the namespace
CPU Requests Utilization single value
Percentage of current CPU usage compared to the CPU resource requests in the namespace
Memory Requests Utilization single value
Percentage of current memory usage compared to the memory resource requests in the namespace
CPU Limits Utilization single value
Percentage of current CPU usage compared to the CPU resource limits in the namespace
Memory Limits Utilization single value
Percentage of current memory usage compared to the memory resource limits in the namespace
CPU Usage per Pod area chart
CPU usage of every pod in the namespace
CPU Quota table
CPU usage of every pod in the namespace, with CPU requests and limits and their usage
Memory Usage per Pod area chart
Memory usage of every pod in the namespace
Memory Quota table
Memory usage of every pod in the namespace, with memory requests and limits and their usage
Receive Bandwidth area chart
Received network bandwith per pod in the namespace
Transmit Bandwidth area chart
Transmitted network bandwith per pod in the namespace
Rate of Received Errors area chart
Received network errors per pod in the namespace
Rate of Transmitted Errors area chart
Transmitted network errors per pod in the namespace
Network Usage table
Current network bandwidth and errors per pod
Track workload CPU and memory usage in a Kubernetes namespace using OpenTelemetry data. View per-workload usage, resource quotas, and overall namespace resource distribution.
The OpenTelemetry K8s Namespace - Workloads dashboard contains the following sections and tiles:
CPU Usage per Workload area chart
CPU usage amounts per workload in the selected namespace.
CPU Quota table
CPU usage of every workload in the namespace, with CPU requests and limits and their usage
Memory Usage per Workload area chart
Memory usage amounts per workload in the selected namespace.
Memory Quota table
Memory usage of every workload in the namespace, with memory requests and limits and their usage
Usage Overview table
Overview of CPU and memory usage in the namespace, split by workload type.
CPU Usage pie chart
Percentage of CPU usage in the namespace per workload type.
Memory Usage pie chart
Percentage of memory usage in the namespace per workload type.
Receive Bandwidth area chart
Bytes received by each workload
Transmit Bandwidth area chart
Bytes transmitted by each workload
Rate of Received Errors area chart
Errors per second when receiving data in each workload.
Rate of Transmitted Errors area chart
Errors per second when transmitting data in each workload.
Network Usage table
Overview of transmitted and received data in each workload.
View pod resource consumption on a specific Kubernetes node using OpenTelemetry data. Track CPU, memory, and pod utilization alongside requests-based utilization percentages.
The OpenTelemetry K8s Node - Pods dashboard contains the following sections and tiles:
CPU Utilization single value
Percentage of current CPU usage for the node compared to the allocatable amount of CPUs
Memory Utilization single value
Percentage of current memory usage for the node compared to the allocatable amount of memory
Pods Utilization single value
Percentage of current number of pods on the node compared to the allocatable number of pods
CPU Utilization (Requests) single value
Percentage of current CPU resource requests for the node compared to the allocatable amount of CPUs
Memory Utilization (Requests) single value
Percentage of current memory resource requests for the node compared to the allocatable amount of memory
CPU Utilization (Limits) single value
Percentage of current CPU resource limits for the node compared to the allocatable amount of CPUs
Memory Utilization (Limits) single value
Percentage of current memory resource limits for the node compared to the allocatable amount of memory
CPU Usage per Pod area chart
CPU usage of every pod on the node
CPU Quota table
CPU usage of every pod on the node, with CPU requests and limits and their usage
Memory Usage per Pod area chart
Memory usage of every pod on the node
Memory Quota table
Memory usage of every pod on the node, with memory requests and limits and their usage
Inspect persistent volume utilization in a Kubernetes cluster using OpenTelemetry data. Track volume usage trends, capacity by namespace, and changes over time.
The OpenTelemetry K8s Persistent Volumes dashboard contains the following sections and tiles:
Volume Usage (%) line chart
Volumes memory usage percentage of the capacity
Volume Usage Change line chart
Volumes memory usage change
Volumes table
Volumes memory usage, capacity and availability
Usage by Namespace pie chart
Volumes memory usage by namespace
Capacity by Namespace pie chart
Volumes memory capacity by namespace
Security Posture Management Explore ready-made dashboards owned by
Security Posture Management.
View compliance findings from the latest assessment across your environment. Track assessed systems, resource counts, compliance rules, and passing rates by compliance standard.
The Security Posture overview dashboard contains the following sections and tiles:
Services app Explore ready-made dashboards owned by
Services app.
Find services with high numbers of distinct endpoint names, which can indicate volatile URL patterns or misconfigured endpoint detection. View the top 10 services by endpoint cardinality.
The Endpoint Cardinality Dashboard dashboard contains the following sections and tiles:
Top 10 maximum distinct endpoints per service table
Max distinct destination count for one Service (publish)
Find services with high numbers of distinct messaging destinations, which can indicate volatile or temporary queue detection. View the top 10 services by destination cardinality.
The Messaging Destination Dashboard dashboard contains the following sections and tiles:
Top 10 maximum distinct destinations per service table
Max distinct destinations for one service single value
Max distinct destination count for one Service (publish)
Max distinct destinations for one service single value
Max distinct destination count for one Service (publish)
Max distinct destinations for one service single value
Max distinct destination count for one Service (publish)
Top 10 maximum distinct destinations per service table
Top 10 maximum distinct destinations per service table
Synthetic app Explore ready-made dashboards owned by
Synthetic app.
Monitor ICMP, TCP, and DNS synthetic checks. View availability, round-trip times, and the top monitors with lowest availability to detect network connectivity issues.
The Synthetic network availability monitoring dashboard contains the following sections and tiles:
ICMP monitor availability and performance by locations table
ICMP monitors availability single value
Avarage round-trip time trends by locations (7 days) line chart
Shows the performance trends of network targets across various synthetic locations over the past 7 days. Use this chart to identify periods of degraded performance or improvement, understand normal behavior for each location, and compare values with the availability and performance data from other sections
Top $TopLimit ICMP monitors with lowest availability table
ICMP monitor availability & round-trip time trends line chart
ICMP monitor executions bar chart
TCP monitors availability single value
TCP monitor availability & connection time trends line chart
TCP monitor executions bar chart
DNS monitor availability & resolution time trends line chart
DNS monitors availability single value
DNS monitor executions bar chart
Top $TopLimit TCP request targets with the lowest availability table
TCP monitors availability and performance by locations table
Top $TopLimit TCP monitors with lowest availability table
Average TCP connection time for top $TopLimit request targets (7 days) line chart
This chart tracks the TCP connection time for various monitored targets across multiple locations over the past 7 days. Connection time represents the total time taken to establish a TCP connection.
Average round-trip time trends for top $TopLimit request targets (7 days) line chart
This chart visualizes the Round-Trip Time (RTT) trends for key monitored targets over the past 7 days. The RTT measures the time taken for an ICMP request to travel to the target and back. Lower RTT values reflect faster response times and a healthier network connection.
Total TCP monitors single value
Total DNS monitors single value
Average DNS resolution time trends for top $TopLimit request targets (7 days) line chart
This chart tracks the DNS resolution time for different request targets (domains/hostnames) across various locations over the past 7 days. DNS resolution time measures how long it takes for a DNS server to convert a domain name into its corresponding IP address, which directly affects how quickly users can access services.
Failure status code distribution bar chart
Status code statistics donut chart
ICMP monitors availability honeycomb chart
TCP monitors availability honeycomb chart
DNS monitors availability honeycomb chart
Avarage round-trip time trends (7 days) for top $TopLimit monitors line chart
Average TCP connection time trends for top $TopLimit monitors (7 days) table
Average TCP connection time trends by locations (7 days) line chart
Shows the performance trends of network targets across various synthetic locations over the past 7 days. Use this chart to identify periods of degraded performance or improvement, understand normal behavior for each location, and compare values with the availability and performance data from other sections
Average resolution time trends for top $TopLimit monitors (7 days) line chart
Average resolution time trends by locations (7 days) line chart
Shows the performance trends of network targets across various synthetic locations over the past 7 days. Use this chart to identify periods of degraded performance or improvement, understand normal behavior for each location, and compare values with the availability and performance data from other sections
Network monitor overview honeycomb chart
Network monitors with problems single value
Top $TopLimit most recent problems table
Monitor HTTP and browser synthetic checks by availability and response time. View the top monitors with lowest availability and request duration trends by location.
The Synthetic web availability and performance dashboard contains the following sections and tiles:
HTTP monitor availability and performance by locations table
HTTP monitor availability single value
Browser monitor availability single value
Average HTTP request duration by locations (7days) line chart
Top $TopLimit HTTP monitors with lowest availability table
Browser monitor availability and performance by locations table
This section highlights the availability and average event duration of browser monitors from various synthetic locations across the globe. Availability represents the percentage of time that monitors from each location are operational, while event duration indicates the average response time, for browser activities.
Top $TopLimit browser monitors with lowest availability table
This table offers a breakdown of the availability and event duration of individual browser monitors, helping to quickly identify monitors that may need attention due to extended downtime or slower response times.
Average browser monitor event duration by locations (7days) line chart
This time-series graph displays performance trends of different locations over the last 7 days, specifically highlighting how event durations evolve over time. This chart allows you to detect any unusual spikes or drops in performance at various locations. Identifying these trends can assist in diagnosing intermittent issues or recent websites dis
Browser monitor duration & availability line chart
HTTP monitor duration & availability trends line chart
HTTP executions bar chart
The number of monitor runs signifies the health and accuracy of the monitoring system, offering transparency into service stability.
Browser executions bar chart
The number of monitor runs signifies the health and accuracy of the monitoring system, offering transparency into service stability.
Top $TopLimit frontends with lowest availability table
Status code statistics donut chart
This table displays the total number of executions for each status code. It helps quantify how frequently certain HTTP responses occur.
Unsuccessful HTTP status code distribution bar chart
This chart shows the percentage breakdown of non-200 status codes over time. Each color represents a specific status code, helping you visualize how often errors (like 401 Unauthorized or 403 Forbidden) or redirects (like 302 Found) occur in relation to successful requests.
Failure distribution caused by server interactions bar chart
This section analyzes the failures of browser monitors attributed to server interactions. An increase in these failures may indicate underlying issues with the application server or the IT infrastructure. Monitoring these trends is crucial for identifying potential bottlenecks and ensuring optimal performance.
Failure distribution caused by page interactions bar chart
This section examines failures in browser monitors related to page interactions. An increase in these failures may indicate issues with the website’s functionality, suggesting the need to adjust monitoring scripts in response to UI changes or potential problems accessing specific elements on the page. Proactively addressing these issues can enhance
Top $TopLimit HTTP requests availability and performance table
Average browser monitor event duration trends (7 days) for top $TopLimit monitors line chart
This performance trends graph focuses on browser monitors over the past 7 days, showing how event durations for specific monitors change over time.
Average HTTP request duration trends (7 days) for top $TopLimit monitors line chart
Users & Sessions Explore ready-made dashboards owned by
Users & Sessions.
Analyze user sessions across frontends. View session and user counts, browser distribution, geographic spread, and pages per session to understand your audience.
The User sessions overview dashboard contains the following sections and tiles:
Vulnerabilities Explore ready-made dashboards owned by
Vulnerabilities.
View vulnerability scan coverage for hosts and processes. Track library vulnerability findings, scan counts over time, and identify the most affected hosts.
The Vulnerability Coverage dashboard contains the following sections and tiles:
Total library vulnerability findings by severity categorical chart
Total number of library findings