Hands-On Microservices with Rust

Application bottlenecks

Any part of an application can be a bottleneck. At first, you may have issues with the infrastructure used by microservices, such as databases or message brokers. Scaling these parts is a complex concept, but here we will only touch upon the bottlenecks of microservices.

When you create a microservice, you may encounter problems with the quantity of requests it can handle. It depends on multiple factors. You can use a concept such as the actors model to spread a load across threads and event loops.

If you have issues with CPU performance, you can create a separate worker that handles CPU-intensive tasks and schedules tasks with message brokers to achieve loose coupling, because you can add more workers at any time ...