Enhancing Hypothesis Development Through Resilience Modeling

Resilience modeling guides teams to anticipate scenarios before they lead to incidents. Teams prioritize these scenarios as hypotheses to test through experimentation. A resilience model documents the scenarios that may impact a system and the controls in place to guard against such impact. Experimentation allows observation of these controls to understand their effectiveness in detecting and preventing incidents. In this session, you will learn how to build a resilience model to create valuable hypotheses that allow you to maximize the value of your chaos engineering experiments.