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Edge Computing with Cloudflare Workers & Deno · 课时

蓝绿部署与渐进式发布

使用蓝绿部署和渐进式流量发布安全地部署边缘应用,降低风险并支持即时回滚。

蓝绿部署与渐进式发布 是 CoddyKit 上的免费 Edge Computing with Cloudflare Workers & Deno 课时。 这是第 4 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Edge Computing with Cloudflare Workers & Deno 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Edge Computing with Cloudflare Workers & Deno 课程共包含 4 节课。

本课时的部分内容尚未翻译,以英文显示。

The Risk of Big-Bang Deploys

Shipping a new version to 100% of users at once is risky, a hidden bug hits everyone instantly.

Progressive deployment strategies reduce blast radius by exposing changes gradually and enabling fast rollback.

Blue-Green Deployments

In a blue-green setup you run two environments:

  • Blue, the current live version
  • Green, the new version, fully deployed but not yet receiving traffic

You switch traffic to green when ready, and switch back instantly if something breaks.

Gradual (Canary) Rollouts

A gradual rollout sends a small percentage of traffic to the new version first, then increases it as confidence grows.

  • 5% then 25% then 50% then 100%
  • Watch error rates at each step

Also called a canary release.

Versioned Uploads

Cloudflare lets you upload a new Worker version without deploying it to all traffic.

wrangler versions upload
# uploads a new version, 0% traffic by default

Splitting Traffic by Percentage

Use gradual deployments to assign a percentage of requests to each version.

wrangler versions deploy \
  <new-version-id>@10% <old-version-id>@90%

Manual Routing for Control

For custom logic you can route in code, for example send a cohort to the new behavior based on a hash of the user ID.

function inCanary(userId) {
  // simple stable bucketing
  return (userId.charCodeAt(0) % 100) < 10; // ~10%
}

Watch the Right Metrics

During a rollout, monitor:

  • Error rate / 5xx responses
  • Latency (p50, p95, p99)
  • CPU time
  • Business KPIs

Compare the new version against the baseline before increasing traffic.

Instant Rollback

The key benefit of progressive deploys is fast rollback, shift traffic back to the known-good version immediately.

wrangler versions deploy <old-version-id>@100%

Automating Rollback

Tie rollout steps to CI checks. If error rates exceed a threshold, the pipeline automatically reverts to the previous version.

if (errorRate > 0.02) {
  await rollbackToPrevious();
}

Database Compatibility

During blue-green, both versions may run at once, so schema changes must be backward compatible.

  • Add columns before removing old ones
  • Use expand-then-contract migrations

Best Practices Summary

Deploy safely at the edge by:

  • Uploading versions without full deploy
  • Splitting traffic gradually and watching metrics
  • Keeping rollback one command away
  • Making migrations backward compatible

Quick Check

What is the defining characteristic of a canary (gradual) rollout?

Recap

You learned safe deployment strategies:

  • Blue-green keeps a hot standby for instant switching
  • Gradual rollouts shift traffic in steps while you watch metrics
  • Versioned uploads and percentage splits make this easy on Cloudflare
  • Backward-compatible migrations keep both versions healthy

Progressive delivery turns scary deploys into routine, reversible events.

常见问题解答

「蓝绿部署与渐进式发布」课时是免费的吗?

是的 — 「蓝绿部署与渐进式发布」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Edge Computing with Cloudflare Workers & Deno 课程的其余内容,请升级到 CoddyKit PRO。 Edge Computing with Cloudflare Workers & Deno 课程共包含 4 节课。

「蓝绿部署与渐进式发布」这节课中我会学到什么?

使用蓝绿部署和渐进式流量发布安全地部署边缘应用,降低风险并支持即时回滚。 你通过在浏览器中直接运行的动手代码来练习 Edge Computing with Cloudflare Workers & Deno,全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 Edge Computing with Cloudflare Workers & Deno 需要有经验吗?

无需任何先前经验。CoddyKit 上的 Edge Computing with Cloudflare Workers & Deno 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 4 节课,共 4 节。

「蓝绿部署与渐进式发布」课时需要多长时间?

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。

我能在这节 Edge Computing with Cloudflare Workers & Deno 课中编写并运行代码吗?

能。每节 Edge Computing with Cloudflare Workers & Deno 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。

此课程中的所有课时

  1. Deno Deploy 与 CLI
  2. 自定义运行时环境
  3. 边缘测试与 CI/CD
  4. 蓝绿部署与渐进式发布
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