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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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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.
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AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.
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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.
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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.
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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.
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