awesome-docker - :whale: A curated list of Docker resources and projects

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A curated list of Docker resources and projects Inspired by @sindresorhus' awesome and improved by these amazing contributors. The creators and maintainers of this list do not receive any form of payment to accept a change made by any contributor. This page is not an official Docker product in any way. It is a list of links to projects and is maintained by volunteers. Everybody is welcome to contribute. The goal of this repo is to index open-source projects, not to advertise for profit.

https://github.com/veggiemonk/awesome-docker#readme
https://github.com/veggiemonk/awesome-docker

Dependencies:

cheerio : 1.0.0-rc.2
critical : 1.3.3
dayjs : 1.6.6
draftlog : 1.0.12
fs-extra : 7.0.0
list.js : 1.5.0
node-fetch : 2.1.2
parcel-bundler : 1.8.1
rimraf : 2.6.2
showdown : 1.8.6
sitemap : 1.13.0

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Related Projects

Portainer - Simple management UI for Docker

  •    Javascript

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.

Docker-Secure-Deployment-Guidelines - Deployment checklist for securely deploying Docker

  •    

Within today’s growing cloud-based IT market, there is a strong demand for virtualisation technologies. Unfortunately most virtualisation solutions are not flexible enough to meet developer requirements and the overhead implied by the use of full virtualisation solutions becomes a burden on the scalability of the infrastructure. Docker reduces that overhead by allowing developers and system administrators to seamlessly deploy containers for applications and services required for business operations. However, because Docker leverages the same kernel as the host system to reduce the need for resources, containers can be exposed to significant security risks if not adequately configured. The following itemised list suggests hardening actions that can be undertaken to improve the security posture of the containers within their respective environment. It should be noted that proposed solutions only apply to deployment of Linux Docker containers on Linux-based hosts, using the most recent release of Docker at the time of this writing (1.4.0, commit 4595d4f, dating 11/12/14). Part of the content below is based on publications from Jérôme Petazzoni [1] and Daniel J Walsh [2]. This document aims at adding on to their recommendations and how they can specifically be implemented within Docker. Note: Most of suggested command line options can be stored and used in a similar manner inside a Dockerfile for automated image building. Docker 1.3 now supports cryptographic signatures [3] to ascertain the origin and integrity of official repository images. This feature is however still a work in progress as Docker will issue a warning but not prevent the image from actually running. Furthermore, it does not apply to non-official images. In general, ensure that images are only retrieved from trusted repositories and that the --insecure-registry=[] command line option is never used.

Harbor - An enterprise-class container registry server based on Docker Distribution

  •    Go

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.

zabbix-docker-monitoring - :whale: Docker/Kubernetes/Mesos/Marathon/Chronos/LXC/LXD/Swarm container monitoring - Docker image, Zabbix template and C module

  •    C

If you like or use this project, please provide feedback to author - Star it ★ and write what's missing for you.Monitoring of Docker container by using Zabbix. Available CPU, mem, blkio, net container metrics and some containers config details, e.g. IP, name, ... Zabbix Docker module has native support for Docker containers (Systemd included) and should also support a few other container types (e.g. LXC) out of the box. Please feel free to test and provide feedback/open issue. The module is focused on performance, see section Module vs. UserParameter script.

Dry - A Docker container manager for the terminal

  •    Go

Dry is a terminal application to manage Docker. It shows information about Containers, Images and Networks, and, if running a Docker Swarm, it also shows all kinds of information about the state of the Swarm cluster. It can connect to both local or remote Docker daemons. Besides showing information, it can be used to manage Docker. Most of the commands that the official Docker CLI has, are available in dry with the same behaviour.


Distribution - The Docker toolset to pack, ship, store, and deliver content

  •    Go

The Docker toolset to pack, ship, store, and deliver content. This repository's main product is the Docker Registry 2.0 implementation for storing and distributing Docker images. It supersedes the docker/docker-registry project with a new API design, focused around security and performance.

PiCluster - Manage Docker Containers

  •    Javascript

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.

Rancher - Complete container management platform

  •    Go

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.

kraken - P2P Docker registry capable of distributing TBs of data in seconds

  •    Go

Kraken is a P2P-powered Docker registry that focuses on scalability and availability. It is designed for Docker image management, replication and distribution in a hybrid cloud environment. With pluggable backend support, Kraken can easily integrate into existing Docker registry setups as the distribution layer. Kraken has been in production at Uber since early 2018. In our busiest cluster, Kraken distributes more than 1 million blobs per day, including 100k 1G+ blobs. At its peak production load, Kraken distributes 20K 100MB-1G blobs in under 30 sec.

openvas-docker - A Docker container for Openvas

  •    Shell

A Docker container for OpenVAS on Ubuntu. By default, the latest images includes the OpenVAS Base as well as the NVTs and Certs required to run OpenVAS. We made the decision to move to 9 as the default branch since 8 seems to have many issues in docker. We suggest you use 9 as it is much more stable. Our Openvas9 build was designed to be a smaller image with fewer extras built in. Please note, OpenVAS 8 is no longer being built as OpenVAS 9 is now standard. The image is can still be pulled from the Docker hub, however the source has been removed in this github as is standard with deprecated Docker Images. In the output, look for the process scanning cert data. It contains a percentage.

uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container

  •    Shell

Docker image with uWSGI and Nginx for Flask web applications in Python 3.6, Python 3.5 and Python 2.7 running in a single container. Optionally using Alpine Linux. This Docker image allows you to create Flask web applications in Python that run with uWSGI and Nginx in a single container.

docker-swarm-visualizer - A visualizer for Docker Swarm Mode using the Docker Remote API, Node

  •    Javascript

Also this is a sample app meant for learning Docker. Running this app in production is insecure and should be avoided. If you want to run it in production you must take all security precautions, and in particular Protect the Docker daemon socket with SSL.This project was originally created by Francisco Miranda for the 2015 DockerCon EU keynote. It was adapted to be used for the 2016 DockerCon US keynote showcasing Docker swarm mode. Since then the community has generously contributed many updates. Thanks to all the contributors, and a special thanks to @DovAmir and @alexellis for their big contributions.

centurion - A mass deployment tool for Docker fleets

  •    Ruby

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.

prometheus - A docker-compose stack for Prometheus monitoring

  •    

Before we get started installing the Prometheus stack. Ensure you install the latest version of docker and docker swarm on your Docker host machine. Docker Swarm is installed automatically when using Docker for Mac or Docker for Windows.Clone the project locally to your Docker host.

DockerCheatSheet - 🐋 Docker Cheat Sheet 🐋

  •    

This repository is trending on Github since some days now. Watch it, we will add many updates in the future. Thank you for your support.Check the website.

Anchore Engine - Centralized service for inspection, analysis and certification of container images

  •    Python

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.

aws-lambda-container-image-converter - The AWS Lambda container image converter tool (img2lambda) repackages container images (such as Docker images) into AWS Lambda layers, and publishes them as new layer versions

  •    Go

This container image converter tool (img2lambda) repackages container images (such as Docker images) into AWS Lambda layers, and publishes them as new layer versions to Lambda. The tool copies all files under '/opt' in the Docker image, maintaining the individual Docker image layers as individual Lambda layers. The published layer ARNs will be stored in a file 'output/layers.json', which can be used as input when creating Lambda functions. Each layer is named using a "namespace" prefix (like img2lambda or my-docker-image) and the SHA256 digest of the Docker image layer, in order to provide a way of tracking the provenance of the Lambda layer back to the Docker image that created it.

Swarm - Docker native clustering system

  •    Go

Docker Swarm is native clustering for Docker. It turns a pool of Docker hosts into a single, virtual host. It is Docker's first container orchestration project that began in 2014. Combined with Docker Compose, it's a very convenient tool to schedule containers.

jupyterhub-deploy-docker - Reference deployment of JupyterHub with docker

  •    Python

jupyterhub-deploy-docker provides a reference deployment of JupyterHub, a multi-user Jupyter Notebook environment, on a single host using Docker. This deployment is NOT intended for a production environment. It is a reference implementation that does not meet traditional requirements in terms of availability nor scalability.

docker-stacks - Ready-to-run Docker images containing Jupyter applications

  •    Dockerfile

Jupyter Docker Stacks are a set of ready-to-run Docker images containing Jupyter applications and interactive computing tools. The two examples below may help you get started if you have Docker installed know which Docker image you want to use, and want to launch a single Jupyter Notebook server in a container.