Release Intelligence

Enable scorecards for fast insights to your compute resources.

Sedai summarizes release performance relative to the prior release to validate a release's improvement or troubleshoot unexpected behavior. For best results, scorecards need latency, error, and saturation metrics under varying traffic levels (Note: Sedai automatically identifies and prioritizes relevant metric data for its analysis).

This feature is enabled by default when you connect an account or Kubernetes cluster and is best for production resources that experience regular traffic and usage.

It is important to note that Sedai does not make any changes on your behalf with Release Intelligence (RI) β€” it only generates a comparison analysis between new and old releases based on available monitoring data and usage.

Release Intelligence automatically detects and analyzes releases for the following compute resources:

  • Containers (AWS ECS/Fargate, Kuberentes stateless workloads)

  • Serverless (AWS Lambda)

You can enable or disable RI at the account, cluster, group, or resource level.

When RI is enabled, Sedai also automatically enables Service Level Objectives (SLOs). This includes automatically defining and tracking targets for p95/p99 for latency and error rates.

Learn more about how scorecards are calculated:

πŸ’‘pageRelease Intelligence

You can optionally configure Release Intelligence settings using tags.

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