All is quiet on the log file front, but yet the system is down. What next? This talk will cover the tricks of the trade for debugging distributed systems. Motivated by experience gained diagnosing Hadoop, we’ll dig into the JVM, Linux esoterica, and outlier visualization.
Distributed systems make for tricky diagnosis problems. Which component is at fault? Is it the network, the machine, the process, or, even worse, some emergent complex behavior?
The answer lies in a methodology for finding outliers and then tooling to dig into certain issues deeply. I’ll cover tooling and tricks for both.
The talk will be illustrated by examples from open source systems (especially Hadoop).
Philip Zeyliger came to Cloudera from Google, where he worked on scalable storage for user-facing applications. Before that, he worked in finance, at D.E. Shaw. Philip holds a bachelor’s degree in mathematics from Harvard University. His interests include systems and databases. He’s a committer on the Apache Avro project.
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