deployment-strategies
Gets a change into production safely — blue-green, canary, rolling, feature flags, and the rollback that makes each of them safe. Use this whenever the user is planning a release, asks how to deploy without downtime, mentions canary or blue-green, is adding a feature flag, or is nervous about a risky change going out. For deploying an AI agent specifically, use agent-deployment; for the pipeline that runs the deploy, use ci-pipelines.
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原文涵盖的主题
- Deployment strategies
- 1. Separate deploy from release
- 2. Choose the strategy the risk warrants
- 3. Make rollback the first thing you test
- 4. Make the database change independent of the code change
- 5. Define promotion and abort before you start
- 6. Manage flag debt deliberately
- Report
Every deployment strategy is a way of buying information before you are fully committed. They differ in what they cost and how much they tell you. The question that decides everything: how quickly can you undo it, and what does undo not cover? A strategy without a tested rollback is not a strategy. The most useful idea here, and the one that unlocks the rest. Deploying is shipping the code; releasing is turning the behaviour on. When they are the same event, every deploy is risky and every rollback is a deploy. Split them with a flag, and you can ship code continuously, turn a feature on for one account, and turn it off in seconds without a build. Done when: you can change behaviour without shipping code. | Strategy | Buys you | Costs | | --- | --- | --- | | Rolling | Simple, no extra capacity | Both versions live at once; slow rollback | | Blue-green | Instant switch and instant rollback | Double capacity during the switch | | Canary | Real traffic on a small blast radius | Needs traffic splitting and per-version metrics | | Feature flag | Per-user control, instant off | Flag debt, and both code paths must work | | Shadow | Zero risk, real inputs | No user-visible result; needs re
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原作者:OKHP3/skillz · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-10T10:00:54.163Z。
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