Showing 4 open source projects for "custom control"

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  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

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  • 1
    k0s

    k0s

    k0s - The Zero Friction Kubernetes

    k0s is an all-inclusive Kubernetes distribution, which is configured with all of the features needed to build a Kubernetes cluster and packaged as a single binary for ease of use. k0s fits well in any cloud environment, but can also be used in IoT gateways, Edge and Bare metal deployments due to its simple design, flexible deployment options and modest system requirements.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Kuma

    Kuma

    The multi-zone service mesh for containers, Kubernetes and VMs

    Kuma is a modern Envoy-based service mesh that can run on every cloud, in a single or multi-zone capacity, across both Kubernetes and VMs. Thanks to its broad universal workload support, combined with native support for Envoy as its data plane proxy technology (but with no Envoy expertise required), Kuma provides modern L4-L7 service connectivity, discovery, security, observability, routing, and more across any service on any platform, databases included. Easy to use, with built-in service...
    Downloads: 1 This Week
    Last Update:
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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...
    Downloads: 1 This Week
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  • 4
    NVIDIA Container Toolkit

    NVIDIA Container Toolkit

    Build and run Docker containers leveraging NVIDIA GPUs

    The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container...
    Downloads: 1 This Week
    Last Update:
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  • Build Securely on Azure with Proven Frameworks Icon
    Build Securely on Azure with Proven Frameworks

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