Deploy progressively with Argo Rollouts
k8s-rolloutsskillsetup L4★908
rohitg00/kubectl-mcp-server ↗What it does
Execute canary and blue-green progressive deployments with Argo Rollouts and Flagger
Best for
Rolling out new versions to a subset of traffic first (5% → 10% → 20%...) while metrics verify no regression.
Inputs
- · Rollout manifest (canary or blueGreen strategy)
- · traffic weight/pause configuration
- · analysis run metrics
Outputs
- · Rollout status
- · weight progression
- · analysis results
- · abort or promote decision
Requires
- · Argo Rollouts operator
- · kubectl
- · Prometheus (optional for metrics analysis)
Preconditions
- · Argo Rollouts installed on cluster
- · Kubernetes 1.16+
Failure modes
- · analysis run fails metrics collection
- · rollout stuck on step
- · traffic weight mismatch
- · replicaset not ready
Trust signals
- · 11-tool operator suite with canary+blue-green
- · analysis run failure handling
- · abort workflow included
- · status polling examples