In-Cluster Checks
A generic framework for running health validation rules directly on OpenShift cluster nodes using oc debug.
Key Advantages
- Direct node access - Rules run directly on cluster nodes via
oc debug - Fast execution - Parallel rule execution across multiple nodes
- Relevant rules execution - Only relevant rules run based on prerequisite checks
- Easy debugging - Full visibility into commands executed for each rule
Originally developed as part of Red Hat's Pendrive project, this framework has been extracted as open-source to benefit the broader OpenShift community.
Rules are organized by topic into domains (hardware, network, linux, storage).
Installation
Prerequisites:
- Python >= 3.12
- pip (Python package installer)
Connected Environment
Install the framework:
pip install in-cluster-checks
Or if pip is not found, use:
python3 -m pip install in-cluster-checks
Disconnected Environment
For environments without internet access:
-
Download the package on a connected machine:
pip download in-cluster-checks --dest ./packages # Or: python3 -m pip download in-cluster-checks --dest ./packages
-
Transfer the packages to the disconnected environment
Copy the entire
./packagesdirectory to the disconnected machine. You can place it anywhere, but note the location for the next step. -
Install from local packages:
# If packages are in the current directory: pip install --no-index --find-links=./packages in-cluster-checks # Or specify the full path to where you copied them: pip install --no-index --find-links=/path/to/packages in-cluster-checks # Using python3 -m pip: # python3 -m pip install --no-index --find-links=./packages in-cluster-checks
Running in-cluster-checks
Cluster Login
Ensure you're logged into your OpenShift cluster.
You can login by one of the following options:
Login with Username and Password:
Use the cluster API URL and your credentials.
oc login https://api.your-cluster.com:6443
Login Using a Kubeconfig File:
If you already have a kubeconfig file with credentials:
export KUBECONFIG=/path/to/kubeconfig
Usage Examples
You can run in-cluster-checks with the following options:
# Run all checks. Use --output to save run results to ./cluster-checks.json
in-cluster-checks --output ./cluster-checks.json
# Run a specific rule (disables secret filtering)
in-cluster-checks --debug-rule "check_disk_usage"
# Run with debug logging
in-cluster-checks --log-level DEBUG
# Specify namespace for debug pods (default: default)
in-cluster-checks --namespace openshift-debug
To see all available options, run:
in-cluster-checks --help
Notes:
- To control execution performance, use
--max-workersto set the maximum number of parallel workers (default: 50). - When using
--namespace, ensure you have permissions to create debug pods in the specified namespace.
Contributing
Contributions are welcome! Please see our CONTRIBUTING.md for detailed guidelines on how to:
- Set up your development environment
- Add new rules and domains
- Write tests
- Submit pull requests
Related Projects
- Pendrive: Red Hat's on-premise Insights validation tool (internal)
- OpenShift: Container orchestration platform
Acknowledgments
This framework was extracted from Red Hat's Pendrive project. The core validation infrastructure is generic and contains no confidential logic, making it suitable for open-source release to benefit the wider OpenShift community.
License
The 3-Clause BSD License
See LICENSE for full text.
3 maintainers
Metadata
3 maintainers
Release files for in-cluster-checks 0.1.55
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