Showing 394 open source projects for "kubernetes"

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  • 1
    Nebula reporter

    Nebula reporter

    The optional reporter container which reads nebula reports from Kafka

    Nebula is an open source-distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking effect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe. Ever wandered how your going to push an update to that smart fridge your company is working on as it's thousands of devices around the globe? ...
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  • 2
    Nebula worker

    Nebula worker

    The worker node manager container which manages nebula nodes

    Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are IoT devices, appliances\virtual appliances located at clients data centers, and edge computing. ...
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  • 3
    Kubernetes on Raspbian

    Kubernetes on Raspbian

    Kubernetes on Raspbian (Raspberry Pi)

    This repository holds the "original tutorial" for "Kubernetes on Raspbian" by Alex Ellis using kubeadm. It also has a list of reader clusters for your inspiration and Alex's newest work with k3s.
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  • 4
    Prometheus Kubernetes Setup

    Prometheus Kubernetes Setup

    Kubernetes Setup for Prometheus and Grafana

    This repository provides a pre-configured Prometheus stack optimized for monitoring Kubernetes clusters and cloud-native applications.
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  • 5
    Azure Container Service Engine

    Azure Container Service Engine

    Builds Docker Enabled Clusters

    The Azure Container Service Engine (acs-engine) generates ARM (Azure Resource Manager) templates for Docker enabled clusters on Microsoft Azure with your choice of DC/OS, Kubernetes, OpenShift, Swarm Mode, or Swarm orchestrators. The input to the tool is a cluster definition. The cluster definition (or apimodel) is very similar to (in many cases the same as) the ARM template syntax used to deploy a Microsoft Azure Container Service cluster.
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  • 6
    Origin

    Origin

    Community Distribution of Kubernetes

    Origin, also known as OKD is the community distribution of Kubernetes that has been optimized for continuous application development and multi-tenant deployment. It adds developer and operations-centred tools to Kubernetes to speed up application development and simplify deployment, scaling, as well as long-term lifecycle maintenance. It also makes it easier to launch Kubernetes on any cloud or bare metal and run and update clusters, while providing all the necessary tools for creating successful containerized applications.
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  • 7
    Draft

    Draft

    Tool for developers to create cloud-native applications on Kubernetes

    Draft makes it easier for developers to build applications that run on Kubernetes. The draft create command gives developers the artifacts they need to build and run their applications in Kubernetes. The draft-up command builds the container image for an application and deploys it to Kubernetes. Draft targets the "inner loop" of a developer's workflow: as they hack on code, but before code is committed to version control.
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  • 8
    Kubernetes Guide

    Kubernetes Guide

    Kubernetes Handbook

    ...The "Kubernetes Guide" open source e-book aims to organize reference guides and practice summaries when developing and using Kubernetes, forming a systematic reference guide for easy reference. Welcome everyone to follow and add perfect content.
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  • 9
    Functional, Data Science Intro To Python

    Functional, Data Science Intro To Python

    [tutorial]A functional, Data Science focused introduction to Python

    The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing.
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  • 10
    chkit

    chkit

    Desktop CLI client for Containerum

    Chkit is a desktop CLI client for Containerum. Before using chkit to work with Containerum you have to specify the address of your API. Use chkit with your own Kubernetes cluster or use chkit with Containerum Online. By default chkit connects to Containerum Online platform. To learn more about chkit commands, please refer to the Docs section on our website.
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  • 11
    Machinehead

    Machinehead

    Application manager that deploys and maintains set of compose projects

    ...Machinehead is designed for single-server hobbyists who want to make use of containers and modern GitOps practices but can't since most of the tools (such as kube-applier) focus on cluster technology such as Swarm and Kubernetes. In addition to this lack of tooling, managing sensitive secrets such as database credentials on single-server deployments doesn't have many solutions that integrate with Docker nicely. Machinehead is essentially a background process that is given one or more Git repositories that contain docker-compose.yml files. It will periodically attempt to pull from each reository and, if there is a change it will execute docker-compose up for it. ...
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  • 12
    Kubicorn

    Kubicorn

    Simple, cloud native infrastructure for Kubernetes

    Create, manage, snapshot, and scale Kubernetes infrastructure in the public cloud. Kubicorn will be going through a breaking API change as we adopt the upstream cluster API. kubicorn is a free and open source project that solves the Kubernetes infrastructure problem and gives users a rich Golang library to work with infrastructure. unicorn is a project that helps a user manage cloud infrastructure for Kubernetes.
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  • 13
    Node.JS API Kickstarter

    Node.JS API Kickstarter

    A batteries included NodeJS API Kickstater focused on extensability

    This is a project based on NodeJS and Koa (and some other libs) implementing a REST API to authenticate users and let them manage TODOs stored in a PostgreSQL database. It's easy to extend and provides you the best developer experience possible with a lot of nifty things already configured. It's meant to be used with a front-end consuming the API like a mobile app or a SPA built with for example React, Angular or Vue.
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  • 14
    rkt

    rkt

    rkt is a pod-native container engine for Linux

    ...Security: rkt is developed with a principle of "secure-by-default", and includes a number of important security features like support for SELinux, TPM measurement, and running app containers in hardware-isolated VMs. Composability: rkt is designed for first-class integration with init systems (like systemd, upstart) and cluster orchestration tools (like Kubernetes and Nomad), and supports swappable execution engines. Open standards and compatibility: rkt implements the appc specification, supports the Container Networking Interface specification, and can run Docker images and OCI images. Broader native support for OCI images and runtimes is in development.
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  • 15
    Kubernetes shell

    Kubernetes shell

    Kubernetes shell: An integrated shell for working with the Kubernetes

    Kube-shell: An integrated shell for working with the Kubernetes CLI. Under the hood kube-shell still calls kubectl. Kube-shell aims to provide ease-of-use of kubectl and increase productivity. You can use up-arrow and down-arrow to walk through the history of commands executed. Also, up-arrow partial string matching is possible. For e.g. enter 'kubectl get' and use up-arrow and down-arrow to browse through all kubectl get commands.
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  • 16
    Deis Workflow

    Deis Workflow

    The open source PaaS for Kubernetes.

    Deis Workflow is an open source Platform as a Service (PaaS) that adds a developer-friendly layer to any Kubernetes cluster, making it easy to deploy and manage applications. The Deis project welcomes contributions from all developers. The high-level process for development matches many other open-source projects.
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  • 17
    Empire

    Empire

    A PaaS built on top of Amazon EC2 Container Service (ECS)

    ...You can read the original blog post about why we built Empire on the Remind engineering blog. Empire aims to make it trivially easy to deploy a container-based microservices architecture, without all of the complexities of managing systems like Mesos or Kubernetes. ECS takes care of much of that work, but Empire attempts to enhance the interface to ECS for deploying and maintaining applications, allowing you to deploy Docker images.
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  • 18
    Fabric8 Pipeline Library

    Fabric8 Pipeline Library

    Fabric8 Pipeline for Jenkins

    This repository is a Jenkins Shared Library that packages reusable pipeline steps and patterns for building, testing, and releasing containerized applications to Kubernetes and OpenShift. It codifies best practices—building images, running unit/integration tests, publishing artifacts, and rolling out changes—so teams can adopt a consistent CI/CD approach with minimal Groovy code. The library includes helpers for preview environments, GitOps-style promotion, and release versioning to improve traceability across stages. ...
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  • 19

    automated-linguistic-analysis

    Automated Linguistic Analysis, with both monolith and cluster versions

    Sample application showcasing usage of technologies such as: * OSGi R7 Promises for asynchronous generation of transcriptions and linguistic analyses * OSGi R7 Push Stream and JAX RS Server Sent Events for push notifications of processing status * Apache Camel 2.23.1 and RabbitMQ 3.7 for asynchronous communication between services * JPA 2.1 and Hibernate 5.2.12, along with OSGi R7 JPA and Transaction Control services, for persistence layer * OSGi R7 HTTP and JAX RS Whiteboard for registering servlets, resources and REST controllers * OSGi R7 Configurator, Configuration Admin and Metatype services for automatic configuration of components * OSGi R7 Declarative Services for dependency injection * Maven automated build of Docker images * Maven automated deployment into Kubernetes cluster * RabbitMQ message broker as a StatefulSet * CockroachDB relational database as a StatefulSet See 'Code' tab for detailed information
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