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netflix-chaos-monkey Open-Source Projects
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Not in the typical sense, but we have plenty of standard practices and cross-team checkpoints to limit risk. By the time we're deploying changes to production, the work has had a card created, assigned points (which necessarily involves discussing scope and risk), architected (as a group), code peer reviewed, hit unit tests (automated), integration tests (automated), functional tests (automated), smoke tested (automated) end-to-end tests (a few automated, but mostly manual by QA), acceptance tested (by QA and business), resilience tests (chaos engineering with kube-monkey), been deployed to at least 3 environments (with the same exact same artifacts, just with config changes), and monitored for failures (pod restarts, log anomalies, etc -- all automated). Deploy to production is well communicated, and ANY team can request a halt to the deploy if they have concerns.
netflix-chaos-monkey related posts
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Does your company have a Change Advisory Board (CAB)?
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Show HN: A script to test whether a program breaks without network access
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Kube-monkey: an implementation of Netflix's Chaos Monkey for Kubernetes clusters
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What happens when a service fails in your infra, or in other words, do you practice chaos engineering?
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How many of you actually test your infrastructure code? For those that do, what benefits did you discover that testing brings to your code base?
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GitHub - asobti/kube-monkey: An implementation of Netflix's Chaos Monkey for Kubernetes clusters
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kube-monkey: An implementation of Netflix's Chaos Monkey for Kubernetes clusters
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A note from our sponsor - InfluxDB
www.influxdata.com | 6 May 2024
Index
Project | Stars | |
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1 | awesome-chaos-engineering | 5,797 |
2 | kube-monkey | 2,920 |
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