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Using Chaos Engineering to Validate Disaster Recovery Plans

🔬 Chaos engineering converts disaster recovery assumptions into measurable facts by running controlled experiments that simulate realistic failures and quantify impact. Instead of relying on audits or tabletop drills, teams define a steady state, form testable hypotheses, inject targeted failures, and use automated probes to measure effects on SLOs. This approach exposes gaps such as failover delays or error spikes and provides data to iterate DR procedures. Start small, build confidence, and consider engaging Google Cloud professional services for guidance.