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RancherOS - Tiny Linux distro that runs the entire OS as Docker containers
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RancherOS is a minimalist Linux distribution perfect for running Docker containers. It runs Docker directly on top of the kernel and delivers Linux services as containers. It includes only the services needed to run Docker. RancherOS reduces the hassle with updating, patching, and maintaining your container host operating system.
http://rancher.com/rancher-os/https://github.com/rancher/os
| Tags | operating-system linux-distribution containers docker container-os container-deployment |
| Implementation | Go |
| License | Apache |
| Platform | Linux |
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Rancher is an open source project that provides a complete platform for operating Docker in production. It provides infrastructure services such as multi-host networking, global and local load balancing, and volume snapshots. It integrates native Docker management capabilities such as Docker Machine and Docker Swarm. It offers a rich user experience that enables devops admins to operate Docker in production at large scale.
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Dragonfly is an intelligent P2P based file distribution system. It resolved issues like low-efficiency，low-success rate，waste of network bandwidth you faced in large-scale file distribution scenarios such as application deployment, large-scale cache file distribution, data file distribution, images distribution etc. In Alibaba, the system transferred 2 billion times and distributed 3.4PB data every month, it becomes one of the most important infrastructure in Alibaba. The reliability is up to 99.9999%. DevOps takes a lot of benefits from container technologies . but at the same time, it also bring a lot of challenges: the efficiency of image distribution, especially when you have a lot of applications and require image distribution at the same time. Dragonfly works extremely well with both Docker and Pouch, and actually we compatible with any other container technologies without any modifications of container engine.
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A basic user tool to execute simple docker containers in user space without requiring root privileges. Enables download and execution of docker containers by non-privileged users in Linux systems where docker is not available. It can be used to pull and execute docker containers in Linux batch systems and interactive clusters that are managed by other entities such as grid infrastructures or externally managed batch or interactive systems. The INDIGO udocker does not require any type of privileges nor the deployment of services by system administrators. It can be downloaded and executed entirely by the end user.
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Project Harbor is an enterprise-class registry server that stores and distributes Docker images. It extends the open source Docker Distribution by adding the functionalities usually required by an enterprise, such as security, identity and management. As an enterprise private registry, Harbor offers better performance and security.
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The Anchore Engine is an open source project that provides a centralized service for inspection, analysis and certification of container images. The Anchore engine is provided as a Docker container image that can be run standalone or on an orchestration platform such as Kubernetes, Docker Swarm, Rancher or Amazon ECS. The Anchore engine can be accessed directly through a RESTful API or via the Anchore CLI.
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tl;dr: Every time you build, pull or destroy a Docker container, you are using a storage driver. Current storage drivers like Device Mapper, AUFS, and Overlay2 implement container behavior using file systems designed to run a full OS. We are open-sourcing a file system that is purpose-built for the container lifecycle. We call this new file system Layer Cloning File System (LCFS). Because it is designed only for containers, it is up to 2.5x faster to build an image and up to almost 2x faster to pull an image. We're looking forward to working with the container community to improve and expand this new tool. Layer Cloning FileSystem (LCFS) is a new filesystem purpose-built to be a Docker storage driver. All Docker images are constructed of layers using storage drivers (graph drivers) like AUFS, OverlayFS, and Device Mapper. As a design principle, LCFS focuses on layers as the first-class citizen. The LCFS filesystem operates directly on top of block devices, as opposed to merging separate filesystems. Thereby, LCFS aims to directly manage at the container image’s layer level, eliminate the overhead of having a second filesystem that then is merged, and to optimize for density.
Portainer - Simple management UI for Docker
Portainer is a lightweight management UI which allows you to easily manage your different Docker environments (Docker hosts or Swarm clusters). Portainer is meant to be as simple to deploy as it is to use. It consists of a single container that can run on any Docker engine (can be deployed as Linux container or a Windows native container). It allows you to manage your Docker containers, images, volumes, networks and more ! It is compatible with the standalone Docker engine and with Docker Swarm mode.
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CoreOS is just Linux kernel + systemd. This is not for desktop PCs or Laptops or Tablets. It is meant to run the hundreds of thousands of servers. It is based on Google Chrome, that automatically updates itself every few weeks. It supports built in service discovery and configuration sharing using the Raft distributed consensus algorithm. CoreOS is made for companies building platforms.
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A deployment tool for Docker. Takes containers from a Docker registry and runs them on a fleet of hosts with the correct environment variables, host volume mappings, and port mappings. Supports rolling deployments out of the box, and makes it easy to ship applications to Docker servers.We're using it to run our production infrastructure.
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This image will periodically clean up exited containers and remove images and volumes that aren't in use by a running container. Based on tutumcloud/image-cleanup and chadoe/docker-cleanup-volumes with some small fixes. WARNING: This script will remove all exited containers, data-only containers and unused images unless you carefully exclude them. Take care if you mount /var/lib/docker into the container since that will clean up all unused data volumes. If it's not compatible with your system or Docker version it may delete all your volumes, even from under running containers.
dockerdumb-init - A minimal init system for Linux containers
dumb-init is a simple process supervisor and init system designed to run as PID 1 inside minimal container environments (such as Docker). It is deployed as a small, statically-linked binary written in C.Lightweight containers have popularized the idea of running a single process or service without normal init systems like systemd or sysvinit. However, omitting an init system often leads to incorrect handling of processes and signals, and can result in problems such as containers which can't be gracefully stopped, or leaking containers which should have been destroyed.
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Moby is an open-source project created by Docker to advance the software containerization movement. It provides a “Lego set” of dozens of components, the framework for assembling them into custom container-based systems, and a place for all container enthusiasts to experiment and exchange ideas.
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Flocker is an open-source Container Data Volume Manager for your Dockerized applications. By providing tools for data migrations, Flocker gives ops teams the tools they need to run containerized stateful services like databases in production. Unlike a Docker data volume which is tied to a single server, a Flocker data volume, called a dataset, is portable and can be used with any container, no matter where that container is running.
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gVisor is a user-space kernel, written in Go, that implements a substantial portion of the Linux system surface. It includes an Open Container Initiative (OCI) runtime called runsc that provides an isolation boundary between the application and the host kernel. The runsc runtime integrates with Docker and Kubernetes, making it simple to run sandboxed containers. gVisor takes a distinct approach to container sandboxing and makes a different set of technical trade-offs compared to existing sandbox technologies, thus providing new tools and ideas for the container security landscape.
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Admiral™ is a highly scalable and very lightweight Container Management platform for deploying and managing container based applications. It is designed to have a small footprint and boot extremely quickly. Admiral™ is intended to provide automated deployment and lifecycle management of containers.This container management solution can help reduce complexity and achieve advantages including simplified and automated application delivery, optimized resource utilization along with business governance and applying business policies and overall data center integration.
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A user shell for isolated, containerized environments. dockersh is designed to be used as a login shell on machines with multiple interactive users. When a user invokes dockersh, it will bring up a Docker container (if not already running), and then spawn a new interactive shell in the container's namespace.
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PiCluster is a simple way to manage Docker containers on multiple hosts. Docker Swarm not that good and Kubernetes was too difficult to install currently on ARM. PiCluster will only build and run images from Dockerfile's on the host specified in the config file. This software will work on regular x86 hardware also and is not tied to ARM.
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gantryd is a distributed, etcd-based system for running, updating, monitoring and managing various Docker images (known as "components") across multiple machines.gantryd manages the running, monitoring and draining of containers, automatically updating machines progressively on update, and draining the old containers as it goes along. A container is only shutdown when all connections to it have terminated (or it is manually killed). This, combined with progressive update, allows for continuous deployment by simply pushing a new docker image to a repository and running update via gantryd.py.
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The Crunchy Container Suite provides Docker containers that enable rapid deployment of PostgreSQL, including administration and monitoring tools. Multiple styles of deploying PostgreSQL clusters are supported. Please view the official Crunchy Data Container Suite documentation here. If you are interested in contributing or making an update to the documentation, please view the Contributing Guidelines.
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