{"id":18408742,"url":"https://github.com/h2oai/h2o-kubernetes","last_synced_at":"2025-04-07T09:33:12.176Z","repository":{"id":54584148,"uuid":"285041607","full_name":"h2oai/h2o-kubernetes","owner":"h2oai","description":"H2O Open Source Kubernetes operator and a command-line tool to ease deployment (and undeployment) of H2O open-source machine learning platform H2O-3 to Kubernetes.","archived":false,"fork":false,"pushed_at":"2024-10-24T18:11:02.000Z","size":8209,"stargazers_count":21,"open_issues_count":3,"forks_count":6,"subscribers_count":82,"default_branch":"master","last_synced_at":"2025-03-22T16:03:37.965Z","etag":null,"topics":["ai","artificial-intelligence","cluster","h2o","h2o-kubernetes","kubernetes","kubernetes-cluster","kubernetes-deployment","machine-learning","rust"],"latest_commit_sha":null,"homepage":"","language":"Rust","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/h2oai.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-08-04T16:47:37.000Z","updated_at":"2024-07-11T19:11:00.000Z","dependencies_parsed_at":"2022-08-13T20:31:12.561Z","dependency_job_id":null,"html_url":"https://github.com/h2oai/h2o-kubernetes","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/h2oai%2Fh2o-kubernetes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/h2oai%2Fh2o-kubernetes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/h2oai%2Fh2o-kubernetes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/h2oai%2Fh2o-kubernetes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/h2oai","download_url":"https://codeload.github.com/h2oai/h2o-kubernetes/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247626579,"owners_count":20969332,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","artificial-intelligence","cluster","h2o","h2o-kubernetes","kubernetes","kubernetes-cluster","kubernetes-deployment","machine-learning","rust"],"created_at":"2024-11-06T03:21:00.809Z","updated_at":"2025-04-07T09:33:09.506Z","avatar_url":"https://github.com/h2oai.png","language":"Rust","funding_links":[],"categories":["MLOps"],"sub_categories":[],"readme":"# H2O Kubernetes\n\n![Tests](https://github.com/h2oai/h2o-kubernetes/workflows/Tests/badge.svg)\n\nRepository with official tools to aid the deployment of [H2O Machine Learning platform](https://github.com/h2oai/h2o-3) to [Kubernetes](https://kubernetes.io/).\nThere are two essential tools to be found in this repository:\n\n1. **H2O Operator** - for first class H2O Kubernetes support ([README](operator/README.md)),\n1. **Command Line Interface** - to ease deployment of the operator and/or deploy H2O to clusters without the operator ([README](cli/README.md)).\n\nBinaries available: [**Download for Mac / Linux / Windows**](https://github.com/h2oai/h2o-kubernetes/releases).\nOr [build from source](CONTRIBUTING.md).\n\n![operator](.img/h2o-operator.gif)\n\nThe **operator** is an implementation of [Kubernetes operator pattern](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/)\nspecifically for H2O. Once deployed to a Kubernetes cluster, a new custom resource named `H2O` is recognized by Kubernetes,\nmaking it easy to create H2O clusters inside Kubernetes cluster using plain `kubectl`. The **CLI** is a binary usually running on the client's\nside, usable to deploy the operator itself into Kubernetes cluster or create H2O clusters in Kubernetes in cases when the **operator**\nitself may not be used. There are also [Helm charts](https://charts.h2o.ai/) available as yet another way to deploy H2O into Kubernetes.\nUsing the operator first and then falling back to CLI/Helm is the recommended approach.\n\nFor detailed instructions on how to use each tool, please refer to the specific user guides:\n\n- [CLI](cli/README.md)\n- [OPERATOR](operator/README.md)\n\n## Contributing\n\nContributions are welcome and encouraged. Please refer to the [**contributing guide**](CONTRIBUTING.md). If you've encountered a bug,\nor there is any feature missing, please create an [issue on GitHub](https://github.com/h2oai/h2o-kubernetes).\n\n## License\nThis project is licensed under the [Apache License 2.0](LICENSE).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fh2oai%2Fh2o-kubernetes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fh2oai%2Fh2o-kubernetes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fh2oai%2Fh2o-kubernetes/lists"}