Deployment Strategy #64
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🚀 Deployment Strategies in DevOps & Kubernetes
In today’s world of always-on applications, deploying new versions without breaking user experience is critical. That’s where Deployment Strategies come in. They define how we roll out new versions of applications safely, efficiently, and with minimal downtime.
Here’s a breakdown of the most widely used strategies:
1️⃣ Recreate Deployment
How it works: Stop the old version → Start the new version.
Pros: Simple, no resource overhead.
Cons: Causes downtime during deployment.
Best for: Non-production or internal apps where downtime is acceptable.
2️⃣ Rolling Update
How it works: Gradually replace old pods with new pods (one by one or in batches).
Pros: No downtime, gradual rollout.
Cons: Rollback can be slow.
Best for: Most production workloads in Kubernetes (default strategy).
3️⃣ Blue-Green Deployment
How it works: Two environments → Blue (current) and Green (new). Traffic switches to Green once it’s stable.
Pros: Instant rollback (just switch traffic back).
Cons: Double infrastructure cost.
Best for: Critical applications requiring zero downtime and quick rollback.
4️⃣ Canary Deployment
How it works: Release new version to a small % of users first → Monitor → Gradually increase rollout.
Pros: Low risk, real-world testing with actual users.
Cons: More complex monitoring & routing needed.
Best for: Large-scale applications where user impact must be minimized.
5️⃣ Shadow Deployment
How it works: New version runs in parallel, but traffic is duplicated (mirrored) to it without impacting users.
Pros: Safe, tests performance under real traffic.
Cons: Requires extra infra, results don’t affect users.
Best for: Performance testing & validating new versions in real-world conditions.
✅ Key Takeaways
Choose your strategy based on downtime tolerance, rollback requirements, infra cost, and risk appetite.
Rolling Updates are great defaults, while Blue-Green and Canary shine in production-grade environments.
Pair strategies with strong monitoring + observability (Prometheus, Grafana, ELK, etc.) for safe rollouts.
Summary by CodeRabbit