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hydrate | ||
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azure-pipelines.yml | ||
requirements.txt | ||
setup.py |
README.md
Hydrate
Hydrate crawls a kubernetes cluster and generates a high level description of your deployments.
Setup
Ensure you are using Python 3.6 or a newer version. Include a "kubeconfig" file for your cluster in the same directory as hydrate.py, or specify one with the -k argument. Finally, install the dependencies.
pip install -r requirements.txt
Basic Usage
python -m hydrate [-h] [-n NAME] [-k FILE] [-o PATH] [-v] [-d] [-t] run
The component.yaml file that is created is based on the specification detailed in the Fabrikate repo.
Fabrikate Component Definition
Positional arguments:
Arg | Usage |
---|---|
run | Generate component.yaml for current configuration |
Optional arguments:
Arg | Usage |
---|---|
-h, --help | Show the help message and exit |
-n NAME, --name NAME | Name of the main component (default:hydrated-cluster) |
-k FILE, --kubeconfig FILE | Kubeconfig file for the cluster (default:kubeconfig) |
-o PATH, --output PATH | Output path for the generated component.yaml. |
-v, --verbose | Verbose output logs. |
-d, --dry-run | Print component.yaml to the terminal. |
-t, --telemetry | Enable telemetry collection (default: Disabled) |
Running in Docker
Step 1. Build The Image
Run the following command from the Hydrate project directory.
docker build --tag=[image-name] .
Step 2. Run The Image
docker run [image-name] [args]
Telemetry
Telemetry is disabled by default, but can be enabled by supplying the -t argument when running hydrate.
The following data is collected and sent to AppInsights:
- Each time Hydrate is run
- The runtime of Hydrate
- The runtime of functions decorated with @timeit_telemetry
- The content and number of Full Matches
- The content and number of Partial Matches
- The number of No Matches
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.