Master complex serverless architectures with advanced design patterns, error handling, and performance optimization techniques.
Create workflows connecting multiple Lambdas for event processing pipelines.
aws lambda invoke --function-name fn1 --payload '{...} output.json
Distribute events to multiple functions in parallel processing scenarios.
aws stepfunctions start-execution --stateMachineArn $sfnArn --input file://event.json
Implement retries, dead-letter queues, and custom error processing.
async function handler() {
try { /* code */ }
catch (err) {
console.error(err)
context.fail(err)
}
}
throw new Error(`Validation failed: ${missingFields.join(', ')}`)
Optimize initialization by using container reuse and keeping essential code outside of cold paths.
Measure execution metrics to optimize memory settings for your functions.
Organize dependencies in Lambda Layers to accelerate deployment times.
Design event-driven architectures with SQS/SQS for decoupled workflows.
Important: Always validate input before processing in production functions
{ "Comment": "Lambda Advanced Pattern",
"StartAt": "StepOne",
"States": {
"StepOne": {
"Type": "Task",
"Resource": "arn:aws:lambda:us-east-1:123456789012:function:Step1",
"ResultPath": "$.step1result",
"Next": "StepTwo"
},
"StepTwo": {
"Type": "Task",
"Resource": "arn:aws:lambda:us-east-1:123456789012:function:Step2",
"ResultPath": "$.step2result",
"End": true
}
}
}
This State Machine orchestrates complex multi-step workflow patterns across Lambda functions.
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