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Automating chaos experiments in production
May 12, 2019 Β· Declared Dead Β· π 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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