kube-monkey VS kubectx

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.

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?

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.

Exactly the kind of thing I love to see! Sounds like a great use case for a tool like kube-monkey as well.

Kube Monkey

kubectx: brew install kubectx

default is where any actions which require a namespace will go into if one is not explicitly defined in a default setup (tools such as kubens can alter this behavior). In the context of Jenkins, namespaces are a useful way to allow isolation of individual Jenkins instances that want to utilize the same Kubernetes cluster. Creation of a namespace is a simple option to kubectl:

Here you go: https://github.com/ahmetb/kubectx and https://kubecm.cloud/

check out kubectx/kubens https://github.com/ahmetb/kubectx very handy tool to permanently switch context/namespace

kubectx + kubens v0.9.4

For a peek at what's currently possible, visit the documentation site, in particular the Usage section. For this initial release, it has feature parity with kubectx and kubens and that's about it, but there's lots of room for growth.

I also encourage you to install kubectx + kubens to navigate Kubernetes easily.