Chaos Engineering - every incident is a missed experiment

Chaos engineering... mostly in IT we are focused on structure and order. So, what is it and what can it bring? We go over the steps: Start by defining ‘steady state’ as some measurable output of a system that indicates normal behaviour Hypothesize that this steady-state will continue in both the control group and the experimental group Introduce variables that reflect real-world events like servers that crash, hard drives that malfunction, network connections that are severed, etc. Try to disprove the hypothesis by looking for a difference in steady-state between the control group and the experimental group. .