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Nobl9 application (1.153.3)

· 2 min read
We've just released Nobl9 1.153.3! Release highlights:
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Release details​


new
New data anomaly types​

We're excited to announce a significant enhancement to our automatic data anomaly detection capabilities for Nobl9 Enterprise Edition users. Nobl9 now automatically detects three new types of data anomalies to provide deeper insights into the data integrity of your SLOs:

  • Constant burn triggers when an error budget burns continuously
  • No burn identifies SLOs that aren't burning any budget for an unusually long time
  • Incremental mismatch detects when a ratio SLO with an incremental data count method receives a non-incremental data point

These new detection types act as intelligent assistants, highlighting potentially problematic SLOs that might otherwise go unnoticed. Automatic data anomaly detection, including the No data type, is enabled for all SLOs. It utilizes the centralized waiting time and cooldown defaults, which can be fine-tuned upon request to Nobl9 Support, and operates seamlessly alongside manually configured No data detection.

Auto-detected data anomalies are recorded as SLO annotations. Nobl9 adds the ~anomaly-rule: auto label to such annotations to distinguish them from the annotations for manual No data anomalies.

This feature empowers you to proactively refine your SLOs and ensure they accurately reflect your system's reliability.

Documentation updates​

Alerting > Data anomaly detection: new data anomaly types with basic and advanced troubleshooting
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