Sample every service fairly with Adaptive Traces volumetric sampling
UpdateUnverifiedAdded Sep 24, 2026
Keep every service represented in your traces, even when a few noisy ones produce most of your traffic. Volumetric sampling automatically distributes your sampling budget across services and request types, so low-volume services aren’t crowded out , and you can often lower sampling_percentage while keeping coverage intact. Learn more in the docs →
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| Apr 23 | Build custom Alloy pipelines without writing Alloy syntaxunverified Update | Update |
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| Apr 23 | FOCUS: Standardized Cost and Usage Dataunverified GA | GA |
| Apr 22 | Anomaly Alerts (Usage Spike Detection)unverified GA | GA |
| Apr 22 | End-to-End Root cause: Jump from a Synthetic Monitoring check straight to its traceunverified Update | Update |
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| Apr 24 |  Sigma Computing | What's new in Sigmaunverified | Sigma | GA |
| Apr 24 |  Databricks | Unity Catalog OSS Unity Catalog AI 0.4.0unverified | Unity Catalog | Update |
| Apr 24 |  Cerebras | Validation Errors Now Return 400 Instead of 422 API requests that fail validation now return HTTP 400 Bad...unverified | Cerebras Inference | Update |
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Sources: each vendor's own release notes, changelogs and GitHub releases, read daily to monthly by how often it posts. Logos via logo.dev; trademarks belong to their owners.