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Continuous delivery for your cluster.
Using CI/CD for applications is a wonderful technique to ease the pain of DevOps,wouldn't it be nice to apply the same workflow to cluster provisioning?
GitOps is a two-part system. A library of commands is used to manage a single-tenanted cluster within a git repository, and the server component watches the repository and provisions the calculated changes.
Currently Kubernetes/Helm is the only supported cluster interface. All changes to the cluster are performed as applications of Helm charts.
Secrets should be placed in
secrets.env. The example file
secrets.example.env has the environment variables you will need to supply.
Gitops has a helm chart defining its deployment. Invoke scripts are provided to make deployment painless. See
- Handle failure on initial application deployment.
- Better error reporting on failures.
- Forced redeployment interface.
- Make kubernetes specific code modular so that we can start to support multiple deployment methods.
- Invoke commands and other tools should be extracted from the uptick-cluster repo, added here and packaged up. Package should create /usr/bin/gitops to act as a CLI interface. Convert invoke commands to this new interface.
- Add a command to create a template cluster repo (ala uptick-cluster) and give instructions to push it up and set up a webhook.
Developer experience should look something like:
pip install gitops gitops create-repository -> Creates cluster repo (maybe with examples?) -> Explains or pushes repo up somewhere. -> Explains or sets up a webhook on that repo. gitops create-secrets -> Either downloads secrets from AWS using awscli or -> Prompts for each secret individually. gitops deploy-server -> helm upgrade gitops chart... (see tasks.py:deploy) # Use as normal anywhere you want (like uptick-cluster invoke scripts) gitops summary gitops bump```
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