Showing 4 open source projects for "ofn-export-layers.py"

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  • 1
    cdebug

    cdebug

    A swiss army knife of container debugging

    A swiss army knife of container debugging. Execute commands or start interactive shells in scratch, slim, or distroless containers, with ease. The cdebug exec command is a crossbreeding of docker exec and kubectl debug commands. You point the tool at a running container, say what toolkit image to use, and it starts a debugging "sidecar" container that feels like a docker exec session to the target container.
    Downloads: 0 This Week
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  • 2
    Harvester

    Harvester

    Open source hyperconverged infrastructure (HCI) software

    Harvester is a modern, open, interoperable, hyperconverged infrastructure (HCI) solution built on Kubernetes. It is an open-source alternative designed for operators seeking a cloud-native HCI solution. Harvester runs on bare metal servers and provides integrated virtualization and distributed storage capabilities. In addition to traditional virtual machines (VMs), Harvester supports containerized environments automatically through integration with Rancher. It offers a solution that unifies...
    Downloads: 1 This Week
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  • 3
    OpenCost

    OpenCost

    Cost monitoring for Kubernetes workloads and cloud costs

    OpenCost is a vendor-neutral open-source project for measuring and allocating cloud infrastructure and container costs in real-time. Built by Kubernetes experts and supported by Kubernetes practitioners, OpenCost shines a light into the black box of Kubernetes spending. Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as...
    Downloads: 0 This Week
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  • 4
    kubernetes-event-exporter

    kubernetes-event-exporter

    Export Kubernetes events to multiple destinations with routing

    This tool allows exporting the often missed Kubernetes events to various outputs so that they can be used for observability or alerting purposes. You won't believe what you are missing. Configuration is done via a YAML file, when run in Kubernetes, ConfigMap. The tool watches all the events and the user has to option to filter out some events, according to their properties. Critical events can be routed to alerting tools such as Opsgenie, or all events can be dumped to an Elasticsearch...
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