// simulator
Deployment Strategies Simulator
Learn deployment strategies like Blue-Green, Canary, Rolling Updates, and Recreate. Visualize how each strategy handles traffic routing, downtime, and rollbacks.
Stop all old pods, then start new ones. Simple but causes downtime.
Step 1: Initial State
Pros
- + Simple
- + Clean state
- + Low cost
Cons
- - Downtime
- - No rollback
- - Risky
Understanding Deployment Strategies
What you'll learn
- How different deployment strategies minimize risk and downtime
- Trade-offs between deployment speed, safety, and resource cost
- When to use each strategy based on your application needs
- How traffic routing changes during deployments
- The role of feature toggles in modern deployment practices
Deployment strategies compared
- Recreate: Simple but causes downtime. Terminate all, then deploy all.
- Rolling Update: Kubernetes default. Gradual replacement, zero downtime.
- Blue-Green: Two environments, instant switch, instant rollback.
- Canary: Gradual traffic shift, real-user testing, data-driven rollout.
- Feature Toggles: Decouple deployment from release, per-user targeting.
Real-world implementations
- Kubernetes: Native support for Rolling Updates and Recreate via Deployment spec.
- Argo Rollouts: Advanced Blue-Green and Canary with automated analysis.
- Istio/Linkerd: Service mesh traffic splitting for Canary deployments.
- LaunchDarkly/Unleash: Feature flag platforms for toggle-based releases.
- AWS CodeDeploy: Managed deployment service supporting multiple strategies.
Best practices
- Always have a rollback plan before deploying to production.
- Use health checks and readiness probes to verify new versions.
- Implement proper monitoring and alerting during deployments.
- Consider database migrations carefully. They often need special handling.
- Start with smaller blast radius (Canary) for critical services.
- Clean up feature flags after features are fully rolled out.
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