47 min listen
Build More Reliable Distributed Systems By Breaking Them With Jepsen
Build More Reliable Distributed Systems By Breaking Them With Jepsen
ratings:
Length:
50 minutes
Released:
Jul 28, 2020
Format:
Podcast episode
Description
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.
Released:
Jul 28, 2020
Format:
Podcast episode
Titles in the series (100)
Citus Data: Distributed PostGreSQL for Big Data with Ozgun Erdogan and Craig Kerstiens - Episode 13: Scaling PostGreSQL for Big Data and Parallel Execution with Citus Data (Interview) by Data Engineering Podcast