aws-serverless-eda

Serverless API backends on AWS use API Gateway, Lambda, and DynamoDB to scale automatically. Best practices include avoiding anti-patterns, applying strict security governance, and implementing observability guidelines to ensure reliable request routing and processing.

You orchestrate event-driven workflows using AWS Step Functions by coordinating cross-service interactions with EventBridge and Lambda. This approach provides reliable state management and structured execution for complex distributed processes like order processing.

Common anti-patterns in AWS serverless architectures include tight coupling between services, lack of centralized error handling, and missing observability instrumentation. Avoiding these ensures scalable, reliable event-driven workflows and data pipelines.

Design scalable serverless data pipelines on AWS by combining EventBridge for event routing, Lambda for processing, and DynamoDB for state management. This architecture provides reference blueprints for reliable data lakes and stream processing.

Yes, the serverless architecture guidance supports microservices observability by providing specific guidelines for monitoring distributed systems. It covers tracking metrics, tracing requests across API Gateway and Lambda, and maintaining reliable system governance.