AWS for Backend Developers (EC2, S3, RDS, Lambda) · 课时

使用 Step Functions 编排 Lambda

学习如何使用 AWS Step Functions 状态机，将多个 Lambda 函数组合成可靠且可视化的工作流。

使用 Step Functions 编排 Lambda 是 CoddyKit 上的免费 AWS for Backend Developers (EC2, S3, RDS, Lambda) 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 AWS for Backend Developers (EC2, S3, RDS, Lambda) 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 AWS for Backend Developers (EC2, S3, RDS, Lambda) 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 Orchestration Problem

Chaining many Lambdas by having each call the next gets messy fast — error handling, retries, and visibility become a nightmare.

AWS Step Functions let you orchestrate functions as a clear, visual workflow.

What Is a State Machine?

A Step Functions workflow is a state machine defined in JSON using the Amazon States Language (ASL). Each step is a state that does work or makes a decision.

State Types

Common state types include:

Task — run a Lambda or service action
Choice — branch on conditions
Parallel — run branches at once
Map — iterate over a list
Wait — pause for a time

A Simple Definition

This workflow runs one Lambda task then ends.

{
  'StartAt': 'ProcessOrder',
  'States': {
    'ProcessOrder': {
      'Type': 'Task',
      'Resource': 'arn:aws:lambda:...:processOrder',
      'End': true
    }
  }
}

Built-in Error Handling

Each Task state can declare Retry and Catch rules, so transient failures are retried and fatal ones route to a cleanup state — no boilerplate in your function code.

{
  'Type': 'Task',
  'Resource': 'arn:...:charge',
  'Retry': [{'ErrorEquals': ['States.ALL'], 'MaxAttempts': 3}]
}

Branching with Choice

A Choice state inspects the workflow data and routes to different next states, letting you build conditional logic visually.

Parallel and Map

Parallel runs several branches simultaneously and waits for all. Map applies the same steps to every element of an array, with controllable concurrency.

Standard vs Express

Two workflow types:

Standard — long-running (up to a year), exactly-once, full audit history
Express — high-volume, short-lived, cheaper, at-least-once

Visual Monitoring

The console shows a live visual graph of each execution, highlighting which states succeeded, failed, or are running. This makes debugging multi-step flows far easier than scanning logs.

Service Integrations

Step Functions can call many AWS services directly — DynamoDB, SQS, SNS, ECS — without a Lambda in between, reducing glue code.

When to Use Step Functions

Reach for Step Functions when you have:

Multi-step business processes
Long-running workflows
Complex error handling and retries
A need to visualize and audit each run

Quick Check

Test your orchestration knowledge.

Recap

You learned Lambda orchestration:

State machines define workflows in ASL
Choice, Parallel, Map control flow
Retry and Catch handle errors declaratively
Standard vs Express match cost to workload

Step Functions turn tangled Lambda chains into reliable, visible workflows.

常见问题解答

「使用 Step Functions 编排 Lambda」课时是免费的吗？

是的 — 「使用 Step Functions 编排 Lambda」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 AWS for Backend Developers (EC2, S3, RDS, Lambda) 课程的其余内容，请升级到 CoddyKit PRO。 AWS for Backend Developers (EC2, S3, RDS, Lambda) 课程共包含 4 节课。

「使用 Step Functions 编排 Lambda」这节课中我会学到什么？

学习如何使用 AWS Step Functions 状态机，将多个 Lambda 函数组合成可靠且可视化的工作流。你通过在浏览器中直接运行的动手代码来练习 AWS for Backend Developers (EC2, S3, RDS, Lambda)，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 AWS for Backend Developers (EC2, S3, RDS, Lambda) 需要有经验吗？

无需任何先前经验。CoddyKit 上的 AWS for Backend Developers (EC2, S3, RDS, Lambda) 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 Step Functions 编排 Lambda」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 AWS for Backend Developers (EC2, S3, RDS, Lambda) 课中编写并运行代码吗？

能。每节 AWS for Backend Developers (EC2, S3, RDS, Lambda) 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。

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