Automating chaos experiments in production

May 12, 2019 ยท Declared Dead ยท ๐Ÿ› 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

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Authors Ali Basiri, Lorin Hochstein, Nora Jones, Haley Tucker arXiv ID 1905.04648 Category cs.SE: Software Engineering Cross-listed cs.DC Citations 27 Venue 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) Last Checked 3 months ago
Abstract
Distributed systems often face transient errors and localized component degradation and failure. Verifying that the overall system remains healthy in the face of such failures is challenging. At Netflix, we have built a platform for automatically generating and executing chaos experiments, which check how well the production system can handle component failures and slowdowns. This paper describes the platform and our experiences operating it.
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