Streaming Aggregation now supports traces, letting you transform span data into custom TraceMetrics for the specific patterns and behaviors you need to monitor. Using the Traces Query Builder, you can create aggregation rules that continuously generate metrics from your trace data without impacting query performance.
Key benefits:
- Build custom SLI metrics from specific service operations or user journeys
- Track business KPIs like checkout completion rates or feature adoption directly from trace data
- Create performance metrics tailored to your critical endpoints and workflows
- Set up alerts on trace-derived patterns that standard metrics might miss
- Add TraceMetrics directly to dashboards for real-time monitoring and historical analysis
The workflow is straightforward: build your query with filter and aggregate stages in the Query Builder, click Create Metric to configure evaluation frequency, and save the rule. Your TraceMetrics will run continuously in the background, creating queryable metrics without processing raw trace data each time.
Learn more about using Query Builder with Streaming Aggregation.
Improvements
- Interactive Logs Attributes Breakdown displays value distribution for any log attribute with one-click filtering directly from breakdown data (click any attribute name to view its breakdown)
- Logs JSON View automatically extracts and enables filtering of JSON attributes from log bodies with intelligent pipeline stage management
- Navigation now preserves applied filters when moving between Discover Host detail pages instead of clearing existing parameters
Fixes
- Content overflow detection in Firefox browsers was showing false overflow states due to browser-specific calculations
- Google Chat webhook notification messages were being incorrectly formatted
- Logs queries from Discover or Dashboards were appearing incorrectly in Query Library recent queries for Logs Explorer
- Builder
groupbyshortcuts were handling keyboard input incorrectly and interfering with other query building operations