Backend deployment is the process of moving application code from development to production environments, a critical transition where planning, automation, and risk management converge. Modern deployment practices emphasize zero-downtime releases through strategies like blue-green and canary deployments, progressive delivery that incrementally exposes changes to users, and automated rollback mechanisms that restore service when issues arise. Understanding these patterns, from database migration techniques to health check configurations, separates deployments that cause outages from those that ship reliably at scale.
What This Cheat Sheet Covers
This topic spans 11 focused tables and 72 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.
Table 1: Core Deployment Strategies
| Strategy | Example | Description |
|---|---|---|
Two environments: Blue (live) and Green (new). Traffic switches instantly after validation. | • Maintains two identical production environments to eliminate downtime • instant rollback by reverting traffic to the previous environment. | |
Route 5% traffic to new version. Monitor metrics, then gradually increase to 100%. | • Gradually shifts traffic to new version starting with small percentage • limits blast radius if issues arise and enables real-world validation. | |
Replace pods incrementally: 25% → 50% → 75% → 100%. Old and new versions coexist temporarily. | • Replaces instances incrementally without downtime • both versions run simultaneously during transition, requiring backward compatibility. | |
Terminate all running instances. Deploy new version after complete shutdown. | • All existing instances are stopped before new ones start • accepts downtime in exchange for simplicity, suitable for dev environments or breaking changes. |