What is Chaos Engineering? – Programmingempire

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Chaos engineering is a methodology used to test and improve the resilience of complex systems by introducing carefully controlled and monitored experiments that simulate real-world scenarios of failure or disruption.

In other words, it is a way of intentionally creating small failures or disruptions in a system to see how it reacts and identify potential weaknesses or points of failure. The goal is to proactively uncover and address problems before they occur in real-world scenarios and build more reliable, scalable, and flexible systems.

This method usually involves running experiments that simulate various failure scenarios, such as network outages, hardware failures or service disruptions, in a controlled and isolated environment. The experiments were designed to test the system’s ability to detect and respond to faults and to measure its robustness and overall recovery ability.

Chaos engineering has become increasingly popular in recent years as more companies adopt cloud-based systems and microservices architectures that are more complex and difficult to manage. By applying its principles, organizations can improve the reliability and performance of their systems and better meet the demands of their customers.

Recent research works on chaos engineering

Below is a list of some recent related research articles.

  1. “An Experimental Study on the Impact of Chaos Engineering on Microservice Systems” by Iman Keivanloo et al. This paper presents an empirical study of the effects of chaos engineering on microservices-based systems, focusing on the impact on system robustness and performance.
  2. Chaos Engineering: A Systematic Investigation of Failure in Distributed Systems” by Casey Rosenthal et al.. This article provides an overview of its principles and presents a case study of how it has been used to identify and mitigate performance problems in a distributed system.
  3. A Systematic Literature Review of Chaos Engineering: Recent Advances and Future Directions” by Sunil Kumar Khatri et al. This article provides a comprehensive review of the existing literature, highlights recent advances, and identifies future research directions.
  4. Continuous Experimentation in Software Engineering: A Systematic Review Mapping Research” by Davide Fucci et al. This article examines the use of continuous experimentation techniques, including chaos engineering, in software engineering, and provides insights into their benefits and challenges.
  5. A study on the applicability of chaos engineering in the context of critical safety systems” by Jan Richter et al.. This paper explores the use of chaos engineering in safety-critical systems, examines its potential benefits and challenges, and provides recommendations for future research in this area.

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