Kueue

Overview

Kueue is a Kubernetes-native job queueing system that manages batch workloads like ML training and data processing. It integrates with the Kubernetes scheduler to enforce fair sharing and resource quotas across teams.

Best for

Best for
Platform teams managing batch workloads in multi-tenant Kubernetes clusters

Use cases

• Queue batch jobs with priority and resource fairness in multi-tenant clusters
• Manage ML training jobs and data pipelines with Kubernetes-native scheduling
• Enforce resource quotas and prevent resource starvation across teams

Notes

Kueue is a Kubernetes-native job queueing system that manages batch workloads like ML training and data processing. It integrates with the Kubernetes scheduler to enforce fair sharing and resource quotas across teams.

2,536 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Queue batch jobs with priority and resource fairness in multi-tenant clusters
• Manage ML training jobs and data pipelines with Kubernetes-native scheduling
• Enforce resource quotas and prevent resource starvation across teams

Pros

• Native Kubernetes integration with no external dependencies
• Supports fair sharing and priority-based queueing out of the box
• Active community with over 2500 GitHub stars and SIG backing

Cons

• Limited to batch workloads, not designed for long-running services
• Requires Kubernetes expertise to configure and tune
• Relatively new project, ecosystem and tooling still maturing

Indexed from awesome-llmops and enriched against its public facts.