parasail-ai/kueue
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Description: Kubernetes-native Job Queueing
License: Apache-2.0
Stars: 0
Forks: 0
Open issues: 0
Created: 2026-07-02T21:14:16Z
Pushed: 2026-07-02T18:38:19Z
Default branch: main
Fork: yes
Parent repository: kubernetes-sigs/kueue
Archived: no
README:
Kueue
[![GoReport Widget]][GoReport Status] 
[GoReport Widget]: https://goreportcard.com/badge/sigs.k8s.io/kueue [GoReport Status]: https://goreportcard.com/report/sigs.k8s.io/kueue
Kueue is a set of APIs and controller for job queueing. It is a job-level manager that decides when a job should be admitted to start (as in pods can be created) and when it should stop (as in active pods should be deleted).
Read the overview and watch the Kueue-related talks & presentations to learn more.
Features overview
- Job management: Support job queueing based on priorities with different strategies:
StrictFIFOandBestEffortFIFO. - Advanced Resource management: Comprising: resource flavor fungibility, Fair Sharing, cohorts and preemption with a variety of policies between different tenants.
- Integrations: Built-in support for popular jobs, e.g. BatchJob, Kubeflow training jobs, RayJob, RayCluster, JobSet, plain Pod and Pod Groups.
- System insight: Built-in prometheus metrics to help monitor the state of the system, and on-demand visibility endpoint for monitoring of pending workloads.
- AdmissionChecks: A mechanism for internal or external components to influence whether a workload can be admitted.
- Advanced autoscaling support: Integration with cluster-autoscaler's provisioningRequest via admissionChecks.
- All-or-nothing with ready Pods: A timeout-based implementation of All-or-nothing scheduling.
- Partial admission and dynamic reclaim: mechanisms to run a job with reduced parallelism, based on available quota, and to release the quota the pods complete..
- Mixing training and inference: Simultaneous management of batch workloads along with serving workloads (such as Deployments or StatefulSets)
- Multi-cluster job dispatching: called MultiKueue, allows to search for capacity and off-load the main cluster.
- Topology-Aware Scheduling: Allows to optimize the Pod-to-Pod communication throughput by scheduling aware of the data-center topology.
Production Readiness status
- ✔️ API version: v1beta2, respecting Kubernetes Deprecation Policy.
- ✔️ Up-to-date documentation.
- ✔️ Test coverage:
- ✔️ Unit test testgrid.
- ✔️ Integration tests:
- ✔️ Baseline suite
- ✔️ shard-0
- ✔️ shard-1
- ✔️ shard-2
- ✔️ MultiKueue suite testgrid.
- ✔️ E2E tests:
- ✔️ Baseline suites for Kubernetes
Excerpt shown — open the source for the full document.
Notability
notability 1.0/10Routine repo fork, minimal notability.