Automated Verification of Deployments for Risk Assessment
summary
Automated verification plugs into Spinnaker pipelines and runs as an API-based stage (OpsMx Autopilot) that profiles logs and metrics, compares a new release to a learned baseline, and emits a 0–100 confidence score for promotion. Demo analyzes ~100 KB of logs, finds clustered SQL connection errors in the first five minutes plus increased latency, correlates across multiple services, identifies a transient VPC routing issue, and validates that rollback or promote decisions are driven by the score.
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chapters (12)
- 0:00Introduction to automated verification
- 1:26Why automated verification is needed
- 3:54Limitations of manual verification
- 6:20Where to integrate automated verification
- 8:47How automated verification works
- 10:11Spinnaker overview and demo setup
- 12:59Demo of automated analysis in pipeline
- 14:25Interpreting analysis reports
- 16:57Analyzing logs and metrics
- 18:21Multi-service dependency analysis
- 19:26Benefits of automated verification
- 19:46Q&A and closing
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