Reliability work is typically reactive: from working on how we respond to incidents to applying what we've learned in those incidents to our applications. In this session, I'll look at the Adjacent Possible—a theory from evolutionary biology that's been applied to innovation—and how we can iterate toward things that seem impossible to know. We'll then look at how that approach can be used to build resilient services given the unknown-unknowns of distributed systems.
Is it possible to discover unknown unknowns proactively with Chaos Engineering? Where exactly is the intersection between intentionally breaking production services and discovering the multitude of ways they could be broken with observability? This is a short presentation that leaves plenty of time to have a real-time discussion with Charity Majors, take audience questions, and explore practical steps you can take with your teams as you step your way toward improving service resilience.
Please register for o11ycon+hnycon first, then register for this workshop. Conference registration is required.
Michael is a Platform Engineer at Honeycomb.io. Has worked with various public and private cloud providers over for the past 8 years. Originally was deeply rooted in system administration but has since gained fondness for infrastructure as code and developer tooling. He has been using Kubernetes + Terraform software pairing since 2017. In his spare time he is an avid PC gamer, enjoys cooking and tinkers with mixed reality.
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