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of Kubernetes performance.\nWe likely will choose different metrics that are important for HPC.\nNote that I haven't started the operator yet because I'm [testing ideas for the design](hack/test).\nTo learn more:\n\n- ⭐️ [Documentation](https://converged-computing.github.io/metrics-operator/) ⭐️\n- 🐯️ [Python Module](https://pypi.org/project/metricsoperator/) 🐯️\n\n## Dinosaur TODO\n\n- Figure out issue with errors.IsNotFound not working...\n- We need a way for the entrypoint command to monitor (based on the container) to differ (potentially)\n- For larger metric collections, we should have a log streaming mode (and not wait for Completed/Successful)\n- For services we are measuring, we likely need to be able to kill after N seconds (to complete job) or to specify the success policy on the metrics containers instead of the application\n- Add assertions checking for python tests\n- Plotting examples (python parsers) needed for\n  - io-sysstat\n  - app-kripke\n  - app-quicksilver\n  - app-pennant\n\n## License\n\nHPCIC DevTools is distributed under the terms of the MIT license.\nAll new contributions must be made under this license.\n\nSee [LICENSE](https://github.com/converged-computing/cloud-select/blob/main/LICENSE),\n[COPYRIGHT](https://github.com/converged-computing/cloud-select/blob/main/COPYRIGHT), and\n[NOTICE](https://github.com/converged-computing/cloud-select/blob/main/NOTICE) for details.\n\nSPDX-License-Identifier: (MIT)\n\nLLNL-CODE- 842614\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fconverged-computing%2Fmetrics-operator","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fconverged-computing%2Fmetrics-operator","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fconverged-computing%2Fmetrics-operator/lists"}