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Blue-Green and Canary Deployments

Move past 'deploy and hope' — implement zero-downtime blue-green switches and gradual canary rollouts, with automated rollback on failure.

~7h
0 / 8 steps
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Intro

Before We Start

Prerequisites: completed Build a Multi-Stage Deployment Pipeline, a Kubernetes cluster to deploy against (a local kind/minikube cluster is sufficient), kubectl configured.

Sourcing & version notes: Kubernetes core primitives used for blue-green are stable, unchanged APIs. Canary traffic-splitting uses Argo Rollouts, which is not part of core Kubernetes — it requires the Argo Rollouts controller plus an ingress/mesh integration (NGINX Ingress, Istio, or a cloud load balancer) for weighted splitting to actually work. Verify the current Argo Rollouts traffic-management docs for your specific ingress before relying on this in a real cluster.

A naive deploy replaces old instances with new ones in place — if the new version has a bug, every user hits it simultaneously, and rolling back means another full deploy cycle. Blue-green and canary are two different answers to the same problem: reduce blast radius and give yourself a fast, cheap way to back out. Blue-green keeps two full environments and switches traffic between them atomically; canary shifts a small percentage of traffic to the new version first and watches it before going further. This project implements both against a Kubernetes target so you can see the mechanics, not just the diagrams.

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Step 1 — Set up two environments for blue-green

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Step 2 — Switch traffic with a single command

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Step 3 — Wire blue-green into the pipeline with a slot-tracking step

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Step 4 — Implement canary as a gradual traffic shift

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Step 5 — Automate the rollback trigger

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Secret Mission

Secret Mission: force a bad release and watch the safety net catch it

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Wrap Up

Before You Go

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