RedLiner: Measuring Service Capacity with Live Production Traffic

Xia, Jingshu; Zhuang, Zhenyun; Rao, A. Rama; Ramachandra, Haricharan; Yao, Feng; Pasumarti, Ramya

doi:10.1109/icws.2017.75

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2019

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“…While the original goal for ChAP was to run fault injection experiments, we have discovered that the platform itself can be used for other types of experiments. We are currently extending ChAP to support load testing experiments, similar in spirit to RedLiner [23]. In addition, some self-serve users have begun experimenting with using ChAP for canary deployments [2], because of the additional analysis that ChAP provides.…”

Section: Discussionmentioning

confidence: 99%

Automating Chaos Experiments in Production

Basiri

Hochstein

Jones

et al. 2019

2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

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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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Section: Discussionmentioning

confidence: 99%