The various services in a cloud-native system must be able to handle the ebb and flow of traffic through the system. Upstream services should never overload downstream services, and downstream services must be able to handle peak loads without falling behind or overloading services further downstream. This recipe shows how to leverage the natural backpressure of stream processors and implement additional rate limiting to manage throttling.
Implementing backpressure and rate limiting
Getting ready
Before starting this recipe, you will need an AWS Kinesis Stream, such as the one created in the Creating an event stream recipe.
