Showing 4 open source projects for "kubernetes"

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  • 1
    Kubernetes plugin for Jenkins

    Kubernetes plugin for Jenkins

    Jenkins plugin to run dynamic agents in a Kubernetes environment

    Jenkins plugin to run dynamic agents in a Kubernetes cluster. Based on the Scaling Docker with Kubernetes article, automates the scaling of Jenkins agents running in Kubernetes. The plugin creates a Kubernetes Pod for each agent started and stops it after each build. Agents are launched as inbound agents, so it is expected that the container connects automatically to the Jenkins controller.
    Downloads: 0 This Week
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  • 2
    Eclipse Che

    Eclipse Che

    Next-gen container development platform, workspace server & cloud IDE

    Eclipse Che is a Kubernetes-native IDE that makes Kubernetes development accessible for development teams. It places everything a developer could need into containers in Kube pods including dependencies, embedded containerized runtimes, a web IDE, and project code. With the Kubernetes application in your development environment and an in-browser IDE, you can code, build, test and run applications exactly as they run on production from any machine.
    Downloads: 0 This Week
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  • 3
    Nacos

    Nacos

    Dynamic Naming and Configuration Service

    Nacos is an easy-to-use, one-stop solution for dynamic service discovery, configuration and service management that allows you to easily build cloud native applications and microservices platforms. It supports almost all types of services, such as Kubernetes service, Spring Cloud RESTFul service, or Dubbo/gRPC service. Nacos is lightweight, easy to deploy and production-ready, having originated from time-tested internal products from Alibaba Group. It’s highly adaptive to cloud architectures, with support for multi-tenants and multi-environments, and can be used for a variety of internet application scenarios.
    Downloads: 12 This Week
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  • 4
    Seldon Server

    Seldon Server

    Machine learning platform and recommendation engine on Kubernetes

    Seldon Server is a machine learning platform and recommendation engine built on Kubernetes. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more restricted focus to solving the final step in a machine learning project which is serving models in production. ...
    Downloads: 0 This Week
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