continuous integration for kubernetes
Continuous deployment for kubernetes (k8s) and gitlab.
# Table of Contents 1. [blog](#blog) 2. [use](#use) 3. [develop](#develop)
More articles on [Medium..](https://medium.com/kubic-ci)
Prerequisites: ci3 is written and tested in python3 (linux or mac osx).
As a user you would probably do something like:
pip install kubic-ci
The following should work w/o errors:
To start a new project locally you would proceed with:
A typical deploy cycle is:
kubic build && kubic push && kubic deploy -d hello
where hello is the name of your service and project.
### docker image
One can find a simple docker image inside the docker folder, which is suitable to be used by gitlab-runner, so that one has already ci3 preinstalled and can deploy to GKE.
The following will pull latest image from dockerhub and run it in your local docker
docker run -it kubic3/ci3:latest
Like this kubic-ci can be integrated into CI/CD cycle provided by [gitlab](https://docs.gitlab.com/ee/ci/yaml/).
Before making a new release:
Make sure tests are passing (both locally and remotely on gitlab CI).
Increment version according to [semantic versioning](https://semver.org/).
In addition to bumping a new version in ci3/version.py, issuing a new release includes few more publishing (post-release) activities:
Publish new python package python setup.py sdist upload
Build ad upload a new docker image (to avoid confusions, both docker image and python package share the same version). Check how it has been picked up on [dockerhub](https://hub.docker.com/r/kubic3/ci3/) and [microbadger](https://microbadger.com/images/kubic3/ci3).
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