kube-monkey
kubebox
kube-monkey | kubebox | |
---|---|---|
9 | 3 | |
2,920 | 2,119 | |
- | - | |
3.4 | 1.5 | |
12 days ago | about 1 year ago | |
Go | JavaScript | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kube-monkey
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Does your company have a Change Advisory Board (CAB)?
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.
- 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?
Part of being a cloud native company means designing services for failure. What happens, for example, if the payment service/pod goes down? Do the rest of your services continue operating normally? One thing tools like kube-monkey does is automatically kill pods for you on a certain date at a certain time in order to plan for failure events. Just wondering if anyone has dove into the deep end with this type of tooling and really just gone all out, besides Netflix?
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Chaos Mesh for chaos engineering in Kubernetes
Chaos Mesh is a popular solution (about 5k GitHub stars), but — obviously — not the only one. E.g., Litmus is a powerful platform to test many things, and kube-monkey might be a good option for more basic stuff.
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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?
Exactly the kind of thing I love to see! Sounds like a great use case for a tool like kube-monkey as well.
- 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
- 27 open-source tools that can make your Kubernetes workflow easier 🚀🥳
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Awesome Kubernetes Resources
Kube Monkey
kubebox
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What daily terminal based tools are you using for cluster management?
To anyone visiting here, I got a lot of feedback for new tools (which I haven't tried yet), both on Youtube and here, so I compiled it into a list: A comment on Lens: Initially I wanted to include Lens in the video but decided it's a bit different in that it's not a CLI / TUI. Many users shared bad experience with Lens, mainly around performance and a large amount of requests it shoots at the cluster API to a point where some companies banned it. These are the tools (I may add a video review on if anyone thinks it's worth it): * https://github.com/kubermatic/fubectl - for an improved kubectl experience * https://github.com/particledecay/kconf - for those with complex kubeconfig changes requirements * https://github.com/MuhammedKalkan/OpenLens - an open version of Lens (note the above before using) * https://github.com/hidetatz/kubecolor - colored kubectl output :) * https://github.com/astefanutti/kubebox - the K9s little brother? * https://github.com/bergerx/kubectl-status - human friendly resource status output
- 27 open-source tools that can make your Kubernetes workflow easier 🚀🥳
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Getting to Grips With Kubernetes Command-Line Tools
If that later becomes problematic, maybe I'll switch to https://github.com/astefanutti/kubebox
What are some alternatives?
chaoskube - chaoskube periodically kills random pods in your Kubernetes cluster.
k9s - 🐶 Kubernetes CLI To Manage Your Clusters In Style!
istio - Connect, secure, control, and observe services.
roxy-wi - Web interface for managing Haproxy, Nginx, Apache and Keepalived servers
kube-bench - Checks whether Kubernetes is deployed according to security best practices as defined in the CIS Kubernetes Benchmark
kui - A hybrid command-line/UI development experience for cloud-native development
skaffold - Easy and Repeatable Kubernetes Development
kube-burner - Kubernetes performance and scale test orchestration framework written in golang
jqp - A TUI playground to experiment with jq
quay - Build, Store, and Distribute your Applications and Containers
nytui - New York Times Top Stories accessible via TUI