Rollout start: May 6, 2024
Want to ask questions or give feedback? Head over to What's New in Dynatrace in the Dynatrace Community.
From working with Dynatrace Notebooks, you know that exploratory analytics are crucial for uncovering the narratives within your organization’s data. By leveraging visual data analytics and collaboration input from development, security, and business teams, such insights become transparent, enabling immediate understanding and action on the implications for your business. Further, it’s essential to take automated actions to proactively use anomaly detection to determine if your business is at risk. Such anomaly detection should be implemented in straightforward steps, as described in this blog post.
Do you have sleepless nights after production rollouts? Are decisions between your family and your job a tough call on Sunday mornings when a critical security vulnerability is discovered? Are repetitive, manual, and error-prone tasks the toil that holds you back from being productive?
Infrastructure Observability | Kubernetes
A check for DynaKube read permission was added for the Kubernetes cluster monitoring settings Test monitoring features button. This checks the following (optional) permission in the dynatrace-kubernetes-monitoring
cluster role:
- verbs:- list- watch- getapiGroups:- dynatrace.comresources:- dynakubes
executionOrder
parameterPlatform | DQL
You can now use the executionOrder
parameter with the join, joinNested, and lookup commands and the lookup function.
Platform | Grail
Anomaly Detection on Grail uses DQL for building time series to detect anomalies. You're no longer limited to predefined metrics, but can use all the data in Grail, including logs, events, metrics, and business events. You can simulate and train anomaly detection models right in Notebooks and Dashboards—avoiding over-alerting during the fine-tuning stage of your configuration.
The new Anomaly Detection app allows you to store and run anomaly detection configurations at a 1-minute schedule. The app also provides an easy way to migrate your existing metric event configurations into the new Grail-based schema.
The Anomaly detectors (builtin:davis.anomaly-detectors
) settings schema is available via the Settings API.
Infrastructure Monitoring | AWS SNS
We have added a new metric dimension combination of a single Region
dimension to the SMSMonthToDateSpentUSD
metric to support cases where CloudWatch doesn't add any dimensions to the metric.
When CloudWatch displays your SMSMonthToDateSpentUSD
metric as Metrics with no dimensions
, enable the metric with a single Region
dimension.
For details, see the Available Metrics section in Amazon SNS (Simple Notification Service) monitoring.
To learn about changes to the Dynatrace API in this release, see Dynatrace API changelog version 1.291.
The 1.291 GA release contains 4 resolved issues.
This is a cumulative update that contains all previously released updates for the 1.291 release.
This is a cumulative update that contains all previously released updates for the 1.291 release.
This is a cumulative update that contains all previously released updates for the 1.291 release.