Resilience and chaos engineering
This article introduces the concept of resilience and chaos engineering in .NET applications using the Polly library, highlighting new features that enable chaos engineering. It provides a practical guide on integrating chaos strategies within HTTP clients and showcases how to configure resilience pipelines for improved fault tolerance.
As of version 8.3.0, the Polly library now supports chaos engineering. This update allows you to use the following chaos strategies:
Chaos engineering for .NET was initially introduced in the Simmy library. In version 8 of Polly, we collaborated with the creator of Simmy to integrate the Simmy library directly into Polly.
Chaos engineering is a practice that involves testing a system by introducing disturbances or unexpected conditions. The goal is to gain confidence in the system’s ability to remain stable and reliable under challenging circumstances in a live production environment.
However, this blog post will not delve into the intricacies of chaos engineering. Instead, it highlights how to use the Polly library to inject chaos into our systems practically. We will focus on in-process chaos injection, meaning we introduce chaos directly into your process. We won’t cover other external methods, such as restarting virtual machines, simulating high CPU usage, or creating low-memory conditions, in this article.
