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Open Source Go Scheduling Software for Linux

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Go Scheduling Software for Linux

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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • Powerfully Simple Remote Monitoring and Management Software Icon
    Powerfully Simple Remote Monitoring and Management Software

    NinjaRMM provides intuitive endpoint management software to managed service providers (MSPs) and IT professionals

    If you're looking to support your clients and manage IT more efficiently, turn to NinjaRMM. The world's first security centric remote monitoring and management (RMM) platform, NinjaRMM enables IT professionals to monitor and manage the entire IT stack with full automation all within a single pane of glass. The platform features search and connect through TeamViewer, antivirus integration, real-time alerts, managed patching, automation, software inventory, and reporting.
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  • 1
    Koordinator

    Koordinator

    A QoS-based scheduling system brings optimal layout and status to work

    Koordinator is a modern scheduling system that colocates microservices, AI, and big data workloads on Kubernetes. It achieves high utilization by combining elastic resource quota, efficient pod-packing, over-commitment, and resource sharing with container resource isolation. Koordinator is high-performance, scalable, yet most importantly, proven in mass production environments. It allows you to build container orchestration systems that support enterprise production environments. Koordinator provides a range of options for customizing scheduling policies, allowing users to fine-tune the behavior of the system to suit their specific needs, such as Web Service, Spark, Presto, TensorFlow, Pytorch, etc. We provide a profile tool to help you manage workload scheduling policies, which allows to control scheduling policies without modifying the existing workload controller.
    Downloads: 6 This Week
    Last Update:
    See Project
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