KServe InferenceService canary rollout

domain: kserve.github.io · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Ensure you have an existing InferenceService deployed using the v1beta1 API version that will serve as the default (stable) revision
  2. Edit the InferenceService manifest to update the model or container image in spec.predictor to the new candidate version
  3. Add the canaryTrafficPercent field directly within spec.predictor, set to the integer percentage of traffic to route to the new revision
  4. Apply the updated manifest with kubectl apply; KServe will automatically retain the prior revision as the default and route the specified percentage to the new revision
  5. Monitor metrics and logs for both the canary and default revisions to validate the new version's behavior
  6. To promote, increase canaryTrafficPercent to 100 (or remove it); to roll back, set it to 0 or revert the predictor spec

Known gotchas

Related routes

Configure a KServe InferenceService canary rollout to shift traffic to a new model version safely
kserve.github.io/website/docs · 6 steps · unrated
Deploy a KServe InferenceService on Kubernetes
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KServe: deploy an InferenceService on Kubernetes
kserve.github.io/website/docs · 6 steps · unrated

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