Engineering Resilient Systems with Chaos Engineering using Open Source Tools

Modern cloud-native systems are inherently complex, and failures are not a matter of 'if', but 'when'. Chaos Engineering enables teams to proactively identify weaknesses by injecting controlled failures into their systems.

In this talk, I will go beyond theory and explore how Chaos Engineering can be practically implemented using open-source tools such as Chaos Mesh, LitmusChaos, and Gremlin.

I will cover real-world scenarios such as pod failures, network latency injection, and infrastructure disruptions in Kubernetes environments. I am planning to also include a live demo showcasing how chaos experiments can be safely executed in production-like environments.

Attendees will gain actionable insights into integrating chaos experiments into CI/CD pipelines and adopting a culture of resilience using open-source ecosystems.

• Learn how to proactively uncover hidden system weaknesses before they cause real production outages

• Understand how Chaos Engineering helps reduce downtime, improve availability, and increase system reliability

• Gain knowledge of implementing chaos experiments using open-source tools like LitmusChaos, Chaos Mesh, and Chaos Toolkit

• Discover how to safely run experiments in production using blast radius control, hypothesis-driven testing, and observability

• Learn how to build confidence in your systems by validating real-world failure scenarios (pod crashes, network latency, infra failures)

• Understand how to integrate chaos engineering into CI/CD pipelines for continuous resilience testing

• Walk away with practical strategies to build a culture of resilience across engineering teams