In this session, learn how event-driven architectural patterns can help in refactoring your cloud-based monolithic application to microservices to help create cloud native architectures. Parnab will help you understand what serverless in the cloud means with emphasis on AWS Serverless Services (Amazon API Gateway, AWS Lambda, Amazon EventBridge, AWS Step Functions, Amazon SQS, Amazon SNS, Amazon DynamoDB) and will do a deep dive on the following commonly used patterns referenced by real world examples:
1. Strangler Fig
2. Proxy Interception
3. Gateway Pattern
4. Message Interception
5. Decorating Collaborator
6. Change Data Capture.

You will also learn how pub/sub, fanout/broadcast, routing, and streaming-based message exchanges enable harmonizing communications in your evolving design. Finally, evaluate different characteristics (ordering, duplication, delivery guarantees, push versus pull, replay, retention, schema registry, batching, and failure handling) to select the right event channel as you embark upon your modernization journey. In essence, this talk will discuss & break down the “Where”, “How” and “What” involved in migrating your monolith to event-based microservices to enable more informed architectural decisions.

Parnab Basak is a Solutions Architect with Amazon Web Services (AWS). He specializes in creating net new solutions and modernizing existing workloads to make them cloud native using modern s/w dev practices like Serverless, DevOps & Analytics. He enjoys helping customers navigate the cloud landscape as they transform workloads on AWS. Outside of work, he’s a big fan of travel, watching movies and learning new things.

Speaker

Parnab Basak

Parnab Basak

Solutions Architect

Amazon Web Services

Parnab Basak is a Solutions Architect with Amazon Web Services (AWS). He specializes in creating net new solutions and modernizing existing workloads to make them cloud native using modern s/w dev practices like Serverless, DevOps & Analytics. He enjoys helping customers navigate the cloud landscape as they transform workloads on AWS. Outside of work, he’s a big fan of travel, watching movies and learning new things.