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Serverless Backend with AWS Lambda & API Gateway · 课时

使用金丝雀发布与回滚实现安全部署

在不中断服务的情况下发布无服务器变更。了解 Lambda 别名、按权重切换流量、CodeDeploy 金丝雀部署,以及告警触发时的自动回滚。

使用金丝雀发布与回滚实现安全部署 是 CoddyKit 上的免费 Serverless Backend with AWS Lambda & API Gateway 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 Serverless Backend with AWS Lambda & API Gateway 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Serverless Backend with AWS Lambda & API Gateway 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

Switching all traffic to new code at once means a bug hits every user instantly. Progressive deployments shift traffic gradually so problems surface on a small slice first.

Lambda Versions and Aliases

Publishing a Lambda creates an immutable version. An alias is a pointer (like live) you can move between versions, enabling controlled cutovers.

Weighted Aliases

An alias can split traffic between two versions by weight, sending, say, 10% to the new version and 90% to the old.

aws lambda update-alias \
  --function-name api --name live \
  --function-version 12 \
  --routing-config '{"AdditionalVersionWeights":{"11":0.9}}'

Canary Deployments

A canary sends a small percentage of traffic to the new version, waits, then promotes the rest if healthy. CodeDeploy automates this for Lambda.

Deployment Preferences in SAM

SAM exposes this via DeploymentPreference, choosing a canary or linear pattern.

AutoPublishAlias: live
DeploymentPreference:
  Type: Canary10Percent5Minutes
  Alarms:
    - !Ref ErrorAlarm

Linear Deployments

A linear pattern shifts traffic in equal increments over time (e.g. 10% every minute), giving a slower, steadier rollout than a single canary step.

CloudWatch Alarms as Gates

Attach alarms (error rate, latency) to the deployment. If an alarm fires during the shift, the deployment is considered failed.

Automatic Rollback

When an alarm trips, CodeDeploy automatically moves the alias back to the previous version, restoring known-good code with no manual action.

Pre and Post Traffic Hooks

Lifecycle hook Lambdas run before and after traffic shifts, letting you run smoke tests and abort the deploy if they fail.

Blue/Green vs Canary

Blue/green stands up a full second environment and switches over; canary shifts a percentage within one environment. For Lambda, weighted aliases make canary the simpler, cheaper default.

Best Practices

Deploy safely:

  • Always deploy behind an alias
  • Start with a small canary percentage
  • Gate on meaningful alarms
  • Run smoke tests in pre-traffic hooks

Quick Check

Test your safe-deployment knowledge.

Recap

You learned progressive delivery:

  • Versions are immutable; aliases point to them
  • Weighted aliases and canaries shift traffic gradually
  • SAM DeploymentPreference automates canary/linear patterns
  • Alarms gate the rollout and trigger automatic rollback

常见问题解答

「使用金丝雀发布与回滚实现安全部署」课时是免费的吗?

是的 — 「使用金丝雀发布与回滚实现安全部署」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 Serverless Backend with AWS Lambda & API Gateway 课程的其余内容,请升级到 CoddyKit PRO。 Serverless Backend with AWS Lambda & API Gateway 课程共包含 4 节课。

「使用金丝雀发布与回滚实现安全部署」这节课中我会学到什么?

在不中断服务的情况下发布无服务器变更。了解 Lambda 别名、按权重切换流量、CodeDeploy 金丝雀部署,以及告警触发时的自动回滚。 你通过在浏览器中直接运行的动手代码来练习 Serverless Backend with AWS Lambda & API Gateway,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 Serverless Backend with AWS Lambda & API Gateway 需要有经验吗?

无需任何先前经验。CoddyKit 上的 Serverless Backend with AWS Lambda & API Gateway 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。

「使用金丝雀发布与回滚实现安全部署」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 Serverless Backend with AWS Lambda & API Gateway 课中编写并运行代码吗?

能。每节 Serverless Backend with AWS Lambda & API Gateway 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. CodeCommit 与 CodeBuild
  2. 使用 CodePipeline 进行部署
  3. 自动化无服务器部署
  4. 使用金丝雀发布与回滚实现安全部署
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