The outcome

Maintain availability and cost control while changing model code, weights, or infrastructure.

Step by step

A workflow you can repeat.

  1. 01

    Measure request concurrency, queueing, GPU utilization, latency, cold starts, and error rates across representative traffic windows.

  2. 02

    Configure deployment replica bounds and request targets together with compatible worker-node autoscaling and availability needs.

  3. 03

    Deploy the candidate as a new version and run smoke, load, failure, output-regression, and permission tests before traffic moves.

  4. 04

    Shift traffic through the supported rollout mechanism while monitoring health, capacity, latency, errors, quality, and cloud cost.

  5. 05

    Roll back immediately when thresholds fail; otherwise retire obsolete versions and review minimum replicas and idle resources.

Working standard

What good use looks like.

  • Tune replicas and nodes together.
  • Define abort thresholds before rollout.
  • Rehearse rollback before production changes.

Official references

Check the current product documentation.