Patterns for making your inter-service communication more resilient

Networks are unreliable and peak loads are one of the major causes of failures. All this while your users expect your system to continue operating and be responsive. What can we do to make inter-service calls less prone to failures or peak loads and our systems more resilient?

Gepost von: Steven Vroonland
Datum: 11 Oct, 2020
Kategorie: Data Engineering

In a streaming data processing system, we frequently have to deal with:

a varying load of incoming events
calls to external APIs over the network to process those events

The same situation applies to microservice architectures, where services make use of each other via remote calls and deal with varying loads. This interaction makes the stability of one system/microservice depend a lot on the availability and load of other systems/microservices.