Dash0 updates from April 2025

2 updates shipped to Dash0 in April 2025: Announcing Microsoft Teams and Google Chat Integration for Real-Time Notifications and LogAI: Pattern recognition and variable extraction.

Apr 22, 2025

Announcing Microsoft Teams and Google Chat Integration for Real-Time Notifications

We are thrilled to introduce two new integrations that enable you to receive real-time alerts directly in Microsoft Teams and Google Chat. This enhancement ensures you are immediately notified of critical issues and can act swiftly to resolve them.

Key features of the Microsoft Teams and Google Chat Integration

**Real-time notifications on check rule failures: **Get immediate notifications in Microsoft Teams or Google Chat when a Dash0 check rule enters a failure state. This integration ensures incidents are addressed with the appropriate urgency and context, minimizing downtime and impact.
**Enhanced annotation display with hyperlinked references: **Any URLs within checkrule annotations will now be rendered as clickable hyperlinks. This improves visibility and provides quick access to supporting dashboards, documentation, or tools, streamlining your workflow.

More details on how to set up the integrations can be found in our integration hub:

LogAI: Pattern recognition and variable extraction

Our LogAI now identifies patterns in your log messages and uses them to extract type-safe, named attributes that you can use in queries, filters and grouping and, last but not least: triage.

Log messages virtually always follow a pattern: most log messages are generated based on a template, with different variables interpolated in between the static text. And the pattern is unfortunately not available after the log leaves your application.

Wouldn't it be great being able to tell how many and which patterns are there? Or how many logs match each pattern, and how often patterns associated - for example - with errors occur? Or even querying the interpolated variables as if they were log attributes?

Now you can do that all that and more, with the LogAI pattern recognition.

As logs are ingested, our AI identifies patterns, extracts named variables and makes them available as log attributes.
Logs can be filtered and grouped by pattern or by extracted attributes -- directly in the UI, or by referencing them in your PromQL expressions, in the query builder or even in the Triage!

This feature is currently in open beta, as we work on model improvements to increase the accuracy of the patterns and the quality of the extracted attributes.

On the left side we have the count of matching logs by pattern, with a breakdown by severity. On the right side you see a log record with the identified pattern and extracted attributes.

Please note that:

LogAI works on unstructured logs; logs with structure body, like JSON logs, are not modified by LogAI
At the time of writing, LogAI does not extract the trace/span ID attributes for correlation of logs with tracing
LogAI requires logs to have sufficient resource attributes for contextualization; the minimum combinations of resource attributes required are listed here