Chaos Engineering

• Orchestrated fault injection using Chaos Mesh to simulate network partitions, DNS failures, and pod-level instability across Kubernetes-native environments.

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• Silicon-to-Software reliability audits injecting resource exhaustion (CPU/Memory stress) and I/O latency to validate hardware-level bottlenecks and failover logic.

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• Automated SLO validation and blast radius analysis correlating chaos experiments with Prometheus/Grafana metrics to identify recovery gaps in distributed microservices.

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• MTTR optimization and robustness benchmarking to evaluate the trade-offs between cloud redundancy, system performance at scale, and infrastructure spend.