Showing 4 open source projects for "abc-map"

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    KEDA

    KEDA

    KEDA is a Kubernetes-based Event Driven Autoscaling component

    ...KEDA works alongside standard Kubernetes components like the Horizontal Pod Autoscaler and can extend functionality without overwriting or duplication. With KEDA you can explicitly map the apps you want to use event-driven scale, with other apps continuing to function. This makes KEDA a flexible and safe option to run alongside any number of other Kubernetes applications or frameworks.
    Downloads: 0 This Week
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  • 2
    Kitematic

    Kitematic

    Visual Docker Container Management on Mac & Windows

    Kitematic is a simple yet powerful application for managing Docker containers on Mac and Windows. It has a new Docker Desktop Dashboard for an even better user experience, with Docker Hub integration and plenty of advanced features.
    Downloads: 0 This Week
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  • 3
    DockStation

    DockStation

    Application to managing projects based on Docker

    ...Instead of lots of CLI commands you can monitor, configure, and manage services and containers using just a GUI. The DockStation helps to manage projects and container settings, e.g. bind a local host to a project, simple version changing, map ports, assign and reassign environment variables, change entry point and start command instructions, configure volumes, quick access to image documentation, quick services containers cleanup and a lot of other useful functionality. The application helps to manage and observe remote containers. We provide many tools, such as as log monitoring, searching logs, grouping, running tools, and getting container info. ...
    Downloads: 4 This Week
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  • 4
    lmctfy

    lmctfy

    lmctfy is the open source version of Google’s container stack

    ...The project focused on operational safety—clean hierarchies, accounting, and predictable behavior under resource pressure—reflecting lessons from running containers at scale. Although it has since been archived in favor of the broader ecosystem, the code remains a reference for how to map kernel primitives to service-oriented container management. Its design encouraged explicit ownership of resources and stable container identities, which simplified monitoring and policy enforcement. Engineers studying container history use it to understand early patterns that informed today’s runtimes.
    Downloads: 0 This Week
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