A majority of the scalable data processing platforms that we rely on are built as distributed systems. This brings with it a vast number of subtle ways that errors can creep in. Kyle Kingsbury created the Jepsen framework for testing the guarantees of distributed data processing systems and identifying when and why they break. In this episode he shares his approach to testing complex systems, the common challenges that are faced by engineers who build them, and why it is important to understand their limitations. This was a great look at some of the underlying principles that power your mission critical workloads.
Tobias Macey
Posted on • Originally published at dataengineeringpodcast.com
Build More Reliable Distributed Systems By Breaking Them With Jepsen - Episode 143
For further actions, you may consider blocking this person and/or reporting abuse
Top comments (0)