Best practices for designing a scalable microservices architecture on AWS
I'm relatively new to this, so bear with me... Could someone explain My team is building a new feature set that involves microservices hosted on AWS, and we want to ensure scalability from the get-go. We’ve been exploring different architectural patterns and are particularly interested in leveraging AWS services like ECS and API Gateway. The challenge comes with deciding how to best structure our services for optimal performance. In our initial setup, we've configured an ECS cluster with Fargate, which seemed like a good fit for our application’s variable load. However, during load testing, we noticed latency spikes when multiple services interact. Here’s a snippet of our service definition: ```json { "family": "my-service", "networkMode": "awsvpc", "containerDefinitions": [ { "name": "app", "image": "my-app:latest", "portMappings": [ { "containerPort": 80, "hostPort": 80 } ], "memory": 512, "cpu": 256 } ] } ``` We have also set up an API Gateway to manage endpoints, but it seems like there might be a bottleneck when multiple requests hit the same endpoint. We tried enabling caching on the API Gateway, but the improvement was marginal. The documentation suggests that caching can reduce the load, yet our metrics indicate it’s still not optimal. Additionally, we are considering adopting a circuit breaker pattern to handle service failures gracefully, but we're unsure how to integrate that with AWS Lambda and Step Functions. Does anyone have experience with scaling microservices on AWS, particularly with ECS and API Gateway? What design patterns or best practices can you recommend to enhance the responsiveness of our services under load? Any insights into managing inter-service communication efficiently would also be appreciated! This is my first time working with Json 3.9. I appreciate any insights!