At DDAI Tech, we believe true reliability isn’t proven by uptime — it’s earned through resilience under failure.
Our Chaos Engineering practice helps organizations simulate real-world failures in controlled environments to identify weak points, validate recovery mechanisms, and improve overall system robustness.
By combining SRE, AIOps, and Cloud Automation principles, we design intelligent chaos experiments that make your systems failure-tolerant, auto-healing, and production-ready — ensuring business continuity even in uncertain conditions.
We help enterprises build a structured and measurable chaos framework aligned with reliability goals.
We ensure:
We simulate failures at the compute, storage, and network layers to validate system behavior under adverse conditions.
We ensure:
We inject faults at the application layer to uncover dependency, latency, and retry weaknesses.
We ensure:
We integrate observability with chaos experiments to capture data, metrics, and insights.
We ensure:
We embed chaos testing as part of release automation, ensuring every build is battle-tested before production.
We ensure:
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