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Following this quick checklist helps ensure your workloads are ready for predictive autoscaling.

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Autonomous Mode Checklist

  1. Ensure Thoras installation is production-ready - run through the production readiness checklist to ensure optimal platform and model performance.
  2. Check predictions in the dashboard - confirm metric suggestions for your workload are accurate. The Thoras reasoning engine typically needs to see a pattern twice to learn about it; so model performance can take between a few minutes to a few days to reach maximum accuracy.
predictions-vs-usage
  1. Understand application behavior - for vertical scaling, ensure the workload and its dependencies can handle periodic restarts. See the vertical pod rightsizing and aiscaletarget pages for an overview of scaling and restart configuration options.
  2. Review pod resource limits - see vertical scaling config breakdown for details on how to factor in pod resource limits to your vertical scaling behavior.
  3. Start small - test on a non-critical workload first.
  4. Ensure observability and alerts are in place - have monitoring dashboards and alerts ready so you can spot unexpected performance impacts quickly.