pykube

We selected Kubernetes on AWS but there are a lot of details to go from source code all the way through to automated k8s deployments. We are currently using our own framework (https://github.com/closeio/devops/tree/master/scripts/k8s-ci...) but I’m keeping an eye on helm/chart to see if it makes sense to incorporate that at some point. Pykube (https://github.com/kelproject/pykube) has made it easy to automate the k8s depoyment details. We needed a process that would take Python code from our GitHub repos, build and test on CircleCI and then deploy to our k8s clusters. A single commit to our master branch on GitHub can result in multiple service accounts, config maps, services, deployments, etc. to be created/updated. Making all of that work is complicated enough but then we also need to deal with things like canary deployments and let

From looking at your KY tool, it sounds like the pain point you're having is that there's a lot of boilerplate repetition around loading configmaps and secrets into your containers, is that correct? If that's not far off the mark, have you looked at using an object-oriented k8s client? I've been playing with a pattern where I create classes which know how to render themselves into k8s API objects, and that gives the ability to use language-level looping to create, for example, lists of env variable definitions in the resultant spec. I'm writing python apps so PyKube[1] is the base client that I've used, but there are clients in lots of languages at this point. I also tried out Helm, which looks like it has a way of generating k8s yaml files using Go templates, and given a set of config parameters[2]. Unfortunately my use case was a bit to