AWS API Gateway for REST and HTTP API management. Use when creating APIs, configuring integrations, setting up authorization, managing stages, implementing rate limiting, or troubleshooting API issues.
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AWS Step Functions workflow orchestration with state machines. Use when designing workflows, implementing error handling, configuring parallel execution, integrating with AWS services, or debugging executions.
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安装前可以查看交给 AI 代理的指令内容。
AWS Step Functions is a serverless orchestration service that lets you build and run workflows using state machines. Coordinate multiple AWS services into business-critical applications.
| Type | Description | Pricing |
|---|---|---|
| Standard | Long-running, durable, exactly-once | Per state transition |
| Express | High-volume, short-duration | Per execution (time + memory) |
| State | Description |
|---|---|
| Task | Execute work (Lambda, API call) |
| Choice | Conditional branching |
| Parallel | Execute branches concurrently |
| Map | Iterate over array |
| Wait | Delay execution |
| Pass | Pass input to output |
| Succeed | End successfully |
| Fail | End with failure |
JSON-based language for defining state machines.
{
"Comment": "Process order workflow",
"StartAt": "ValidateOrder",
"States": {
"ValidateOrder": {
"Type": "Task",
"Resource": "arn:aws:lambda:us-east-1:123456789012:function:ValidateOrder",
"Next": "ProcessPayment"
},
"ProcessPayment": {
"Type": "Task",
"Resource": "arn:aws:lambda:us-east-1:123456789012:function:ProcessPayment",
"Next": "FulfillOrder"
},
"FulfillOrder": {
"Type": "Task",
"Resource": "arn:aws:lambda:us-east-1:123456789012:function:FulfillOrder",
"End": true
}
}
}
AWS CLI:
aws stepfunctions create-state-machine \
--name OrderWorkflow \
--definition file://workflow.json \
--role-arn arn:aws:iam::123456789012:role/StepFunctionsRole \
--type STANDARD
boto3:
import boto3
import json
sfn = boto3.client('stepfunctions')
definition = {
"Comment": "Order workflow",
"StartAt": "ProcessOrder",
"States": {
"ProcessOrder": {
"Type": "Task",
"Resource": "arn:aws:lambda:...",
"End": True
}
}
}
response = sfn.create_state_machine(
name='OrderWorkflow',
definition=json.dumps(definition),
roleArn='arn:aws:iam::123456789012:role/StepFunctionsRole',
type='STANDARD'
)
import boto3
import json
sfn = boto3.client('stepfunctions')
response = sfn.start_execution(
stateMachineArn='arn:aws:states:us-east-1:123456789012:stateMachine:OrderWorkflow',
name='order-12345',
input=json.dumps({
'order_id': '12345',
'customer_id': 'cust-789',
'items': [{'product_id': 'prod-1', 'quantity': 2}]
})
)
execution_arn = response['executionArn']
{
"StartAt": "CheckOrderValue",
"States": {
"CheckOrderValue": {
"Type": "Choice",
"Choices": [
{
"Variable": "$.total",
"NumericGreaterThan": 1000,
"Next": "HighValueOrder"
},
{
"Variable": "$.priority",
"StringEquals": "rush",
"Next": "RushOrder"
}
],
"Default": "StandardOrder"
},
"HighValueOrder": {
"Type": "Task",
"Resource": "arn:aws:lambda:...:function:ProcessHighValue",
"End": true
},
"RushOrder": {
"Type": "Task",
"Resource": "arn:aws:lambda:...:function:ProcessRush",
"End": true
},
"StandardOrder": {
"Type": "Task",
"Resource": "arn:aws:lambda:...:function:ProcessStandard",
"End": true
}
}
}
{
"StartAt": "ProcessInParallel",
"States": {
"ProcessInParallel": {
"Type": "Parallel",
"Branches": [
{
"StartAt": "UpdateInventory",
"States": {
"UpdateInventory": {
"Type": "Task",
"Resource": "arn:aws:lambda:...:function:UpdateInventory",
"End": true
}
}
},
{
"StartAt": "SendNotification",
"States": {
"SendNotification": {
"Type": "Task",
"Resource": "arn:aws:lambda:...:function:SendNotification",
"End": true
}
}
},
{
"StartAt": "UpdateAnalytics",
"States": {
"UpdateAnalytics": {
"Type": "Task",
"Resource": "arn:aws:lambda:...:function:UpdateAnalytics",
"End": true
}
}
}
],
"Next": "Complete"
},
"Complete": {
"Type": "Succeed"
}
}
}
{
"StartAt": "ProcessItems",
"States": {
"ProcessItems": {
"Type": "Map",
"ItemsPath": "$.items",
"MaxConcurrency": 10,
"Iterator": {
"StartAt": "ProcessItem",
"States": {
"ProcessItem": {
"Type": "Task",
"Resource": "arn:aws:lambda:...:function:ProcessItem",
"End": true
}
}
},
"ResultPath": "$.processedItems",
"End": true
}
}
}
{
"StartAt": "ProcessWithRetry",
"States": {
"ProcessWithRetry": {
"Type": "Task",
"Resource": "arn:aws:lambda:...:function:Process",
"Retry": [
{
"ErrorEquals": ["Lambda.ServiceException", "Lambda.TooManyRequestsException"],
"IntervalSeconds": 2,
"MaxAttempts": 6,
"BackoffRate": 2
},
{
"ErrorEquals": ["States.Timeout"],
"IntervalSeconds": 5,
"MaxAttempts": 3,
"BackoffRate": 1.5
}
],
"Catch": [
{
"ErrorEquals": ["CustomError"],
"ResultPath": "$.error",
"Next": "HandleCustomError"
},
{
"ErrorEquals": ["States.ALL"],
"ResultPath": "$.error",
"Next": "HandleAllErrors"
}
],
"End": true
},
"HandleCustomError": {
"Type": "Task",
"Resource": "arn:aws:lambda:...:function:HandleCustom",
"End": true
},
"HandleAllErrors": {
"Type": "Fail",
"Error": "ProcessingFailed",
"Cause": "An error occurred during processing"
}
}
}
| Command | Description |
|---|---|
aws stepfunctions create-state-machine | Create state machine |
aws stepfunctions update-state-machine | Update definition |
aws stepfunctions delete-state-machine | Delete state machine |
aws stepfunctions list-state-machines | List state machines |
aws stepfunctions describe-state-machine | Get details |
| Command | Description |
|---|---|
aws stepfunctions start-execution | Start execution |
aws stepfunctions stop-execution | Stop execution |
aws stepfunctions describe-execution | Get execution details |
aws stepfunctions list-executions | List executions |
aws stepfunctions get-execution-history | Get execution history |
# Get execution history
aws stepfunctions get-execution-history \
--execution-arn arn:aws:states:us-east-1:123456789012:execution:MyWorkflow:exec-123 \
--query 'events[?type==`TaskFailed` || type==`ExecutionFailed`]'
Causes:
Fix:
{
"Type": "Task",
"Resource": "arn:aws:lambda:...",
"TimeoutSeconds": 300,
"HeartbeatSeconds": 60
}
Check:
# Validate definition
aws stepfunctions validate-state-machine-definition \
--definition file://workflow.json
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AWS API Gateway for REST and HTTP API management. Use when creating APIs, configuring integrations, setting up authorization, managing stages, implementing rate limiting, or troubleshooting API issues.
中文简介正在准备中。当前显示原文说明。
AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.
中文简介正在准备中。当前显示原文说明。
AWS CloudFormation infrastructure as code for stack management. Use when writing templates, deploying stacks, managing drift, troubleshooting deployments, or organizing infrastructure with nested stacks.
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AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshooting application issues.
中文简介正在准备中。当前显示原文说明。
AWS Cognito user authentication and authorization service. Use when setting up user pools, configuring identity pools, implementing OAuth flows, managing user attributes, or integrating with social identity providers.
中文简介正在准备中。当前显示原文说明。
AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.
中文简介正在准备中。当前显示原文说明。