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Go netflix-chaos-monkey Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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.
Go netflix-chaos-monkey related posts
- Does your company have a Change Advisory Board (CAB)?
- Kube-monkey: an implementation of Netflix's Chaos Monkey for Kubernetes clusters
- What happens when a service fails in your infra, or in other words, do you practice chaos engineering?
- 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?
- GitHub - asobti/kube-monkey: An implementation of Netflix's Chaos Monkey for Kubernetes clusters
- kube-monkey: An implementation of Netflix's Chaos Monkey for Kubernetes clusters
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A note from our sponsor - WorkOS
workos.com | 24 Apr 2024
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