Canary Deployment in Kubernetes Explained
Canary Deployments in Kubernetes, Done Right ?
A version can pass every test and still break in production, because prod is a different kind of complex. This one explains it with a real example: 10 stable pods, 1 canary, and the traffic math that trips people up.
Pod count is a bad traffic lever, so the split moves to ingress or a service mesh where 1% truly means 1%. Canary metrics only matter next to the stable version, and a failure your metrics never see still gets promoted.
Where would your canary go blind first, latency or something your metrics never watch? Tell us in the comments ?
#Kubernetes #CanaryDeployment #DevOps #ArgoRollouts #K8s #ServiceMesh #CloudNative #SRE #Deployment #KodeKloud
A version can pass every test and still break in production, because prod is a different kind of complex. This one explains it with a real example: 10 stable pods, 1 canary, and the traffic math that trips people up.
Pod count is a bad traffic lever, so the split moves to ingress or a service mesh where 1% truly means 1%. Canary metrics only matter next to the stable version, and a failure your metrics never see still gets promoted.
Where would your canary go blind first, latency or something your metrics never watch? Tell us in the comments ?
#Kubernetes #CanaryDeployment #DevOps #ArgoRollouts #K8s #ServiceMesh #CloudNative #SRE #Deployment #KodeKloud
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