kube-monkey VS velero

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

Openshift last I looked used Velero under the covers for the functionality, which works fine in standard kubernetes. Most if not all that Openshift does is Open source.

Valero

velero is also a popular solution to for k8s backup that is 3rd party you might check out.

Logical backups using pre and post hooks thanks to this suggestion https://github.com/vmware-tanzu/velero/issues/2763 working way better than kanister blueprints.

While not discounting OP or the work in this repo (seems like a fun k8s/go project), folks might check out Velero for this purpose if they're looking to rely on this kind of export in prod: https://github.com/vmware-tanzu/velero

Hyper-V itself does not directly support backing up container-based platforms like Kubernetes clusters. To back up a Kubernetes cluster, you would typically use tools that interact with the Kubernetes API to capture the necessary data and metadata for backup purposes. Some of those tools are Velero https://velero.io/ (formerly Heptio Ark), Kasten K10, and Stash.

For Kubernetes-land, https://velero.io/ is awesome - but I haven't used it for online-database backups yet. If you're exploring, I'd checkout Velero - if you just need something to work reliably, I'd checkout Percona.

If you're looking for a backup solution for managed kubernetes, check out Velero. It is great for non-managed kube as well (but you've got other options like etcd backups)

You can also leverage https://velero.io/ to backup both cluster state and pvc state to s3