Showing 4 open source projects for "scheduler linux"

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  • 1
    Descheduler

    Descheduler

    Descheduler for Kubernetes

    Scheduling in Kubernetes is the process of binding pending pods to nodes, and is performed by a component of Kubernetes called kube-scheduler. The scheduler's decisions, whether or where a pod can or can not be scheduled, are guided by its configurable policy which comprises of set of rules, called predicates and priorities. The scheduler's decisions are influenced by its view of a Kubernetes cluster at that point of time when a new pod appears for scheduling. As Kubernetes clusters are very...
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  • 2
    Kueue

    Kueue

    Kubernetes-native Job Queueing

    Kueue is a set of APIs and controllers 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). Use Kueue to build a multi-tenant batch service with quotas and a hierarchy for sharing resources among teams in your organization. Based on the available quotas, Kueue decides when jobs should wait and when and where they should run. Kueue works in combination with...
    Downloads: 2 This Week
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  • 3
    Trivy Operator

    Trivy Operator

    Kubernetes-native security toolkit

    The Trivy Operator leverages Trivy to continuously scan your Kubernetes cluster for security issues. The scans are summarised in security reports as Kubernetes Custom Resource Definitions, which become accessible through the Kubernetes API. The Operator does this by watching Kubernetes for state changes and automatically triggering security scans in response. For example, a vulnerability scan is initiated when a new Pod is created. This way, users can find and view the risks that relate to...
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  • 4
    kube-batch

    kube-batch

    A batch scheduler of kubernetes for high performance workload

    kube-batch is a batch scheduler for Kubernetes, providing mechanisms for applications which would like to run batch jobs leveraging Kubernetes. It builds upon a decade and a half of experience on running batch workloads at scale using several systems, combined with best-of-breed ideas and practices from the open source community.
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