Learn serverless architecture patterns including event-driven, API Gateway, and step functions. Build scalable serverless applications.
Serverless Architecture Patterns: Building Scalable Applications
Serverless architectures provide scalability and cost efficiency. This guide covers common patterns.
Resources:
S3Bucket:
Type: AWS::S3::Bucket
ProcessFunction:
Type: AWS::Lambda::Function
Properties:
Events:
S3Event:
Type: S3
Properties:
Bucket: !Ref S3Bucket
Events: s3:ObjectCreated:*
Resources:
ApiGateway:
Type: AWS::ApiGateway::RestApi
LambdaFunction:
Type: AWS::Lambda::Function
ApiMethod:
Type: AWS::ApiGateway::Method
Properties:
RestApiId: !Ref ApiGateway
Integration:
Type: AWS_PROXY
IntegrationHttpMethod: POST
Uri: !GetAtt LambdaFunction.Arn
{
"Comment": "Process order",
"StartAt": "ValidateOrder",
"States": {
"ValidateOrder": {
"Type": "Task",
"Resource": "arn:aws:lambda:REGION:ACCOUNT:function:ValidateOrder",
"Next": "ProcessPayment"
},
"ProcessPayment": {
"Type": "Task",
"Resource": "arn:aws:lambda:REGION:ACCOUNT:function:ProcessPayment",
"End": true
}
}
}
- Use event-driven architecture
- Implement proper error handling
- Use Step Functions for workflows
- Monitor and log everything
- Design for failure
Serverless patterns enable scalable applications. Use event-driven architecture and Step Functions for complex workflows.
For Serverless Architecture Patterns: Building Scalable Applications, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Serverless Architecture Patterns: Building Scalable Applications, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Serverless Architecture Patterns: Building Scalable Applications, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Serverless Architecture Patterns: Building Scalable Applications, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
