Director of Advocacy at Gremlin where he helps companies build more resilient systems by learning from how they fail. He also leads the internal Chaos Engineering practices to make Gremlin more reliable. Previously, he worked at Datadog, O'Reilly Media, and MongoDB. His pandemic-coping activities include drinking whiskey, cooking everything in a waffle iron, and making craft chocolate.
Chaos Engineering by Numbers
We've all heard the stories: How Netflix improved reliability with Chaos Monkey, how Amazon saved millions of dollars by practicing failure injection, how big name companies with big budgets and top talent are benefiting from Chaos Engineering. But what about everyone else? Beyond the anecdotal success of a few companies, what does the data show us about the broader range of Chaos Engineering practitioners?
In this session I'll share data from the first State of Chaos Engineering report—a survey of hundreds of organizations about how they're practicing Chaos Engineering and the results they're seeing. Then I'll dive into Gremlin's own customer data to share some specifics and case studies. Using this data, you'll be able to build your own successful Chaos Engineering practice.