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Summary

Congratulations! You have completed the CI/CD for Non-Agentic Workloads learning path.

What you learned

  • Zero-code instrumentation via okahu.yaml lets you add observability to any Python application without modifying source code.
  • The YAML config specifies which methods to instrument, which inputs to capture, and which outputs to extract.
  • Running python -m monocle_apptrace --config okahu.yaml app.py dynamically wraps the specified methods at runtime.
  • Scope-based fact indexing tags traces with CI/CD metadata (like GitHub run IDs) for precise lookup.
  • The Kahu SRE Agent analyzes trace spans — including data.input and data.output events — to provide structured root cause analysis.
  • The full CI/CD loop (deploy → fail → trace → analyze → issue) runs autonomously with no manual investigation required.

All learning paths

  • CI/CD for Agentic AI

    Build CI/CD pipelines with automated testing and AI agent remediation.

    Start learning

  • Explore Okahu Cloud

    Dive deeper into trace analysis and the Okahu portal.

    Explore Okahu Cloud