
Developed and delivered a Pod Replacement disruption feature for the DataDog/chaos-controller repository, enabling comprehensive pod replacement simulations to support advanced chaos engineering scenarios. The implementation followed Kubernetes controller patterns and introduced capabilities such as node cordoning, optional persistent volume claim deletion, and targeted pod termination, all governed by a MaxRuns cap to limit disruption frequency. Leveraging Go and YAML for development and configuration, the work focused on API design and system design principles to ensure maintainability and extensibility. This feature enhanced resilience testing by allowing deterministic, repeatable disruption scenarios and improved validation of recovery procedures within Kubernetes environments.
September 2025: Implemented and delivered a new Pod Replacement disruption capability in the chaos-controller to enable end-to-end pod replacement simulations. This feature allows cordoning the node, optionally deleting PVCs, and terminating the target pod, with a MaxRuns cap to constrain disruption executions. The work enhances resilience testing by enabling deterministic, repeatable disruption scenarios and tighter validation of recovery procedures.
September 2025: Implemented and delivered a new Pod Replacement disruption capability in the chaos-controller to enable end-to-end pod replacement simulations. This feature allows cordoning the node, optionally deleting PVCs, and terminating the target pod, with a MaxRuns cap to constrain disruption executions. The work enhances resilience testing by enabling deterministic, repeatable disruption scenarios and tighter validation of recovery procedures.

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