Hydrate crawls a kubernetes cluster and generates a high level description of your deployments.
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.txtpython -m hydrate [-h] [-n NAME] [-k FILE] [-o PATH] [-v] [-d] [-t] runThe component.yaml file that is created is based on the specification detailed in the Fabrikate repo.
Fabrikate Component Definition
| Arg | Usage |
|---|---|
| run | Generate component.yaml for current configuration |
| 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) |
Run the following command from the Hydrate project directory.
docker build --tag=[image-name] .docker run [image-name] [args]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
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