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Monoliths to Microservices
Migrating from monolithic architecture to microservices not only requires a change in mindset for a developer, but an understanding of how microservice design patterns can be used and the tools that can be used to deploy them. start with a Java Springboot Monolith with a large RDBMS backend, and methodically break the monolith into a series of decoupled microservices.
Serverless Shopping Cart Microservice
A sample application to demonstrate how you could implement a shopping cart microservice using serverless technologies on AWS.
Decoupled Microservices Workshop
A collection of individual labs covering different aspects and patterns of asynchronous messaging.
Comparing design approaches for building serverless microservices
Developers often move from single responsibility functions to the Lambda-lith when they architectures demand it, but both approaches have relative trade-offs. It’s possible to have the best of both approaches by dividing your workloads per read and write operations.
Call an AWS Fargate microservice with Amazon API Gateway
This demonstrates how to use AWS Step Functions to make a call to Amazon API Gateway to interact with a service on AWS Fargate and to check whether the call succeeded.
Using an Amazon MQ network of broker topologies for distributed microservices
This blog explains the choices when designing a cross-Region or a hybrid network of brokers architecture that spans AWS and your data centers. The example starts with a concentrator topology and enhances that with a cross-Region design to help address network routing and network security requirements.
Serverless REST API
Sample microservice implementation with CI/CD, automated testing, and workload observability.
Saga Pattern
A failure management management pattern that coordinates transactions between multiple microservices to maintain data consistency.
Saga Pattern
A failure management management pattern that coordinates transactions between multiple microservices to maintain data consistency.
Saga Pattern
A failure management management pattern that coordinates transactions between multiple microservices to maintain data consistency.