Showing 4 open source projects for "windows driver model"

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    KubeVela

    KubeVela

    The Modern Application Platform

    KubeVela is a modern software delivery platform that makes deploying and operating applications across today's hybrid, multi-cloud environments easier, faster and more reliable. KubeVela is infrastructure agnostic, programmable, yet most importantly, application-centric. It allows you to build powerful software, and deliver them anywhere. Declare your deployment plan as workflow, run it automatically with any CI/CD or GitOps system, extend or re-program the workflow steps with CUE. Glue and...
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    Render Farm Deployment Kit on AWS (RFDK)

    Render Farm Deployment Kit on AWS (RFDK)

    Library for use with the AWS Cloud Development Kit

    The Render Farm Deployment Kit on AWS (RFDK) is an open-source software development kit (SDK) that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. It offers high-level object-oriented abstractions to define render farm infrastructure using the power of Python and Typescript. The Render Farm Deployment Kit (RFDK) on AWS is an open-source software development kit that can be used to deploy, configure, and manage your render farm infrastructure in the...
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  • 3
    Syncd

    Syncd

    syncd is an open source code deployment tool

    syncd is an open source code deployment tool. It is simple, efficient, and easy to use, which can improve the work efficiency of the team. Go language development, simple compilation and efficient operation. Web interface access, interactive and friendly. The permission model is flexible and free. Support for custom builds. Support for Git repositories. Support branch, Tag online. Deploy Hook support, strong scalability. Perfect launch workflow. Email notification mechanism.
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  • 4
    glu

    glu

    Deployment Automation Platform

    glu is a model-driven deployment and orchestration platform aimed at automating complex rollouts across fleets of machines. It represents desired system state in a declarative model and coordinates agents to converge reality with that model, handling steps like install, start, verify, and promote. The system provides auditing and versioning of deployments, so operators can trace what changed, when, and why. A central console and APIs allow visualizing the topology, triggering rollouts, and...
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