All news with #chaos engineering tag

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.

Getting Started with Chaos Engineering on Google Cloud

⚙️ This post introduces the fundamentals of chaos engineering and explains why deliberately injecting controlled failures helps teams build more resilient cloud-native systems. It covers core principles — such as defining a steady-state hypothesis, limiting blast radius, replicating realistic failure modes, and automating experiments — and translates them into practical steps for experiment design, fault injection, probing, and rollback. The article recommends using Chaos Toolkit and points to Google Cloud–specific recipes to help engineers begin safely and iteratively.