We are excited to announce that krknChaos, a chaos engineering tool for Kubernetes focused on improving resilience and performance, has been accepted as a Sandbox project by the Cloud Native Computing Foundation (CNCF). Additional details can be found in the proposal. We would like to thank the TAG App Delivery team (to name a few, Josh Gavant and Karena Angell and team), the CNCF Technical Oversight Committee (TOC) for their invaluable guidance and support throughout the process and of course the team and community for their invaluable contributions which are key to making this happen.
As part of CNCF, we aim to work with the community to:
- Share and collaborate on the chaos testing methodology to cover wider use cases for running reliable large and dense Kubernetes clusters.
- Work with the community in cross-pollinating the areas of chaos and performance to ensure Service Level Objectives are met for both platform and applications running on top of Kubernetes.
- Leverage AI integration to recommend, automate and improve chaos test coverage.
We will share more updates as we go through the on-boarding process to establish a platform for collaboration (regular meetings, discussion forums, github etc.). Please feel free to reach us out on the Kubernetes Slack, or on Github for any feedback, enhancements or use case discussions.
Let’s embrace chaos!
About the authors
Ravi Elluri leads Chaos Engineering at Red Hat, driving efforts to build resilient, scalable, and production-ready platforms. He focuses on embedding reliability into the development lifecycle so products are designed to perform in real-world conditions.
Ravi works closely with enterprise customers across various industries, especially finance, trading, and aviation, to operationalize chaos engineering at scale. He is also active in the Cloud Native Computing Foundation and the broader open source community, where he advocates for practical, modern approaches to building reliable cloud-native systems.
Brian is the Senior Director for Performance and Scale Engineering at Red Hat. Brian leads the team working on the performance and scalability of Red Hat's product and services portfolio.
Pradeep Surisetty has been driving engineering excellence at Red Hat since 2015. He specializes in optimizing the performance, scalability, and resilience of Red Hat's application and automation product portfolio. His leadership spans OpenShift, Ansible, Konflux, RHDH, and Satellite, while also leading Red Hat's AI Initiatives and the Lightwell performance team. A passionate advocate for open-source innovation, Pradeep focuses on infrastructure resilience, AI-driven performance verification, and scaling AI-native applications
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