Showing 4 open source projects for "json-py"

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    MongoDB Atlas runs apps anywhere

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    kube-capacity

    kube-capacity

    A simple CLI that provides an overview of the resource requests

    This is a simple CLI that provides an overview of the resource requests, limits, and utilization in a Kubernetes cluster. It attempts to combine the best parts of the output from kubectl top and kubectl describe into an easy-to-use CLI focused on cluster resources. By default, kube-capacity will output a list of nodes with the total CPU and Memory resource requests and limits for all the pods running on them. For clusters with more than one node, the first line will also include cluster-wide totals.
    Downloads: 3 This Week
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  • 2
    Wayne

    Wayne

    Kubernetes multi-cluster management and publishing platform

    Wayne is a universal, web-based Kubernetes multi-cluster management platform. It reduces service access costs by visualizing Kubernetes object template editing. With a complete permission management system and adapting to multi-tenant scenarios, it is a publishing platform suitable for enterprise-level clusters. Wayne has been serving 360 search on a large scale, carrying most of the online services, stably managing nearly a thousand applications, and tens of thousands of containers, running...
    Downloads: 0 This Week
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  • 3
    elasticsearch-head

    elasticsearch-head

    A web front end for an elastic search cluster

    ...A ClusterOverview, which shows the topology of your cluster and allows you to perform index and node level operations. A couple of search interfaces that allow you to query the cluster a retrieve results in raw json or tabular format. Several quick access tabs that show the status of the cluster. An input section that allows arbitrary call to the RESTful API to be made. This interface includes several options that can be combined to produce interesting results.
    Downloads: 2 This Week
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  • 4
    NetWorkSpaces, developed by Scientific Computing Associates Inc., provides a framework to coordinate programs written in Python, making it easier to write distributed applications.
    Downloads: 0 This Week
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