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https://github.com/apache/yunikorn-core
Apache YuniKorn Core
https://github.com/apache/yunikorn-core
apache-yarn go kubernetes universal-resource-scheduler yunikorn
Last synced: 9 days ago
JSON representation
Apache YuniKorn Core
- Host: GitHub
- URL: https://github.com/apache/yunikorn-core
- Owner: apache
- License: apache-2.0
- Created: 2019-06-13T15:18:08.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-10-24T17:15:34.000Z (14 days ago)
- Last Synced: 2024-10-29T15:44:42.120Z (9 days ago)
- Topics: apache-yarn, go, kubernetes, universal-resource-scheduler, yunikorn
- Language: Go
- Homepage: https://yunikorn.apache.org/
- Size: 13.9 MB
- Stars: 850
- Watchers: 48
- Forks: 232
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-llmops - Yunikorn - weight, universal resource scheduler for container orchestrator systems. |  | (Large Scale Deployment / Scheduling)
README
# Apache YuniKorn - A Universal Scheduler
[](https://github.com/apache/yunikorn-core/actions)
[](https://codecov.io/gh/apache/yunikorn-core)
[](https://goreportcard.com/report/github.com/apache/yunikorn-core)
[](https://opensource.org/licenses/Apache-2.0)
[](https://img.shields.io/github/repo-size/apache/yunikorn-core)
Apache YuniKorn is a light-weight, universal resource scheduler for container orchestrator systems.
It is created to achieve fine-grained resource sharing for various workloads efficiently on a large scale, multi-tenant,
and cloud-native environment. YuniKorn brings a unified, cross-platform, scheduling experience for mixed workloads that consist
of stateless batch workloads and stateful services.
YuniKorn now supports K8s and can be deployed as a custom K8s scheduler. YuniKorn's architecture design also allows adding different
shim layer and adopt to different ResourceManager implementation including Apache Hadoop YARN, or any other systems.
## Get Started
See how to get started with running YuniKorn on Kubernetes, please read the documentation on [yunikorn.apache.org](http://yunikorn.apache.org/docs/).
Want to know more about the value of the YuniKorn project, and what YuniKorn can do? Here are some
[session recordings and demos](https://yunikorn.apache.org/community/events#past-conference--meetup-recordings).
## Get Involved
Please read [get involved](http://yunikorn.apache.org/community/get_involved) document if you want to discuss issues,
contribute your ideas, explore use cases, or participate the development.
If you want to contribute code to this repo, please read the [developer doc](http://yunikorn.apache.org/docs/next/developer_guide/build).
All the design docs are available [here](http://yunikorn.apache.org/docs/next/design/architecture).
## Code Structure
Apache YuniKorn project has the following git repositories:
- [yunikorn-core](https://github.com/apache/yunikorn-core/) : the scheduler brain :round_pushpin:
- [yunikorn-k8shim](https://github.com/apache/yunikorn-k8shim) : the adaptor to Kubernetes
- [yunikorn-scheduler-interface](https://github.com/apache/yunikorn-scheduler-interface) : the common scheduling interface
- [yunikorn-web](https://github.com/apache/yunikorn-web) : the web UI
- [yunikorn-release](https://github.com/apache/yunikorn-release/): the repo manages yunikorn releases, including the helm charts
- [yunikorn-site](https://github.com/apache/yunikorn-site/): the source code for [yunikorn website](http://yunikorn.apache.org/)
The `yunikorn-core` is the brain of the scheduler, which makes placement decisions (allocate container X on node Y) according
to the builtin rich scheduling policies. Scheduler core implementation is agnostic to the underneath resource manager system.