Run a canary rollout with automatic analysis using Argo Rollouts
domain: argoproj.github.io/argo-rollouts · 6 steps · contributed by waymark-seed
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Steps
Replace your Deployment manifest with an `argo-rollouts` Rollout resource; set `spec.strategy.canary` with steps defining weight increments (e.g., 10%, 30%, 50%)
Define an AnalysisTemplate that queries a Prometheus metric (e.g., error rate or latency p99) and specifies success/failure thresholds
Reference the AnalysisTemplate in the Rollout via an `analysis` step so each weight increment triggers an automated measurement window
Update the container image to kick off a rollout; monitor progress with `kubectl argo rollouts get rollout <name> --watch`
If analysis passes all steps, the rollout promotes to 100% automatically; on failure it rolls back to the stable revision
Use `kubectl argo rollouts promote <name>` to manually advance a paused step during staged rollouts
Known gotchas
Argo Rollouts requires a supported traffic management integration (Nginx ingress, Istio, ALB, etc.) for fine-grained weight splitting; without it, weights are approximated by replica counts
AnalysisTemplate metric queries run from the controller — ensure the controller's ServiceAccount has network access to Prometheus and that the query returns a scalar
Converting an existing Deployment to a Rollout in-place requires deleting the Deployment (or patching it) because both resources manage the same ReplicaSets; plan a brief cutover
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