Dynatrace SaaS release notes version 1.290

Rollout start: Apr 22, 2024

Want to ask questions or give feedback? Head over to What's New in Dynatrace in the Dynatrace Community.

Announcements

Direct acquisition of AWS logs via AWS Data Firehose

Infrastructure Observability | Log Monitoring

Amazon Data Firehose integration is now in General Availability. Firehose integration allows ingest of cloud logs directly, without additional infrastructure needed, and at higher throughput. It replaces the deprecated AWS log forwarder.

New features and enhancements

Duration formatting starting from the largest unit

Platform | Dashboards

The duration data type is formatted to start with the largest unit, rounded to the second digit. For example, 1123123 ns is formatted as 1.12 ms.

You can use the Units and formats settings to adapt the formatting.

Dashboard variables can refer to other dashboard variables

Platform | Dashboards

Variables in dashboards can be defined to depend on other variables.

For details, see Add a variable to a dashboard.

New DQL functions

Platform | DQL

Now you can include the following functions in your DQL queries:

Outer join support for the join command

You can now use outer join with the join command. The outer join returns matched and unmatched records from either or both sides.

.NET support for RVA and RAP

Application Security | Vulnerabilities

.NET technology is now available for Runtime Vulnerability Analytics (code-level vulnerability detection) and Runtime Application Protection (attack protection).

Launch of Vulnerabilities

Application Security | Vulnerabilities

Latest Dynatrace

Vulnerabilities enables you to pursue a quick and easy analysis of third-party, code-level, and runtime vulnerabilities affecting your live environments, while providing the valuable insights and context needed to fix them. You can monitor, manage, and prioritize vulnerabilities, target affected entities, address and optimize remediation, continue your investigation in another app, and share results of your findings.

For more information and details, see Vulnerabilities.

Switching to cloud-native full-stack deployment as default

Infrastructure Observability | Kubernetes

With the release of Dynatrace Operator version 1.0.0, the deployment page for Kubernetes Classic has been updated to default to cloud-native full-stack instead of the classic full-stack. Additionally, we have shifted to using Helm by default instead of manifests.

All previously available deployment options, including the manifest-based approach, remain accessible through our documentation. For more details on the differences between these deployment options, see How it works.

Query self-monitoring metrics with DQL

Platform | Grail

Classic self-monitoring metrics are now available on Grail via DQL with the dt.sfm prefix.

For example, dsfm:server.metrics.metric_dimensions_usage can now be queried in Grail using the following DQL:

timeseries usage = avg(dt.sfm.server.metrics.metric_dimensions_usage),
    by:{metric_key}
| filter arrayAvg(usage) >= 80

Platform | Grail

Application Observability | Services

Service metrics are now available on Grail via DQL with the dt.service.request prefix. For the list of metrics, see Built-in metrics on Grail.

In most cases, a single Grail metric provides support for multiple Classic metrics. To obtain values of individual metrics, use metric dimensions.

For examples, see Service migration guide.

Dynatrace API

To learn about changes to the Dynatrace API in this release, see Dynatrace API changelog version 1.290.

Dynatrace SaaS resolved issues