Docker Engine is our lightweight and powerful open source containerization technology combined with a work flow for building and containerizing your applications.
- Docker Engine is a client-server application with these major components:
- A server which is a type of long-running program called a daemon process (the dockerd command).
- A REST API which specifies interfaces that programs can use to talk to the daemon and instruct it what to do.
- A command line interface (CLI) client (the docker command).
The Docker client (docker) is the primary way that many Docker users interact with Docker. When you use commands such as docker run, the client sends these commands to dockerd, which carries them out. The docker command uses the Docker API. The Docker client can communicate with more than one daemon.
The CLI uses the Docker REST API to control or interact with the Docker daemon through scripting or direct CLI commands. Many other Docker applications use the underlying API and CLI.
Docker Server aka Docker daemon
The Docker daemon (dockerd) listens for Docker API requests and manages Docker objects such as images, containers, networks, and volumes. A daemon can also communicate with other daemons to manage Docker services. The daemon creates and manages Docker objects, such as images, containers, networks, and volumes.
A Docker registry stores Docker images. Docker Hub and Docker Cloud are public registries that anyone can use, and Docker is configured to look for images on Docker Hub by default. You can even run your own private registry. If you use Docker Datacenter (DDC), it includes Docker Trusted Registry (DTR). When you use the docker pull or docker run commands, the required images are pulled from your configured registry. When you use the docker push command, your image is pushed to your configured registry.
Docker Hub is a registry service on the cloud that allows you to download Docker images that are built by other communities. You can also upload your own Docker built images to Docker hub.
Docker store allows you to buy and sell Docker images or distribute them for free. For instance, you can buy a Docker image containing an application or service from a software vendor and use the image to deploy the application into your testing, staging, and production environments. You can upgrade the application by pulling the new version of the image and redeploying the containers.
Docker Machine is a tool that lets you install Docker Engine on virtual hosts, and manage the hosts with docker-machine commands. You can use Machine to create Docker hosts on your local Mac or Windows box, on your company network, in your data center, or on cloud providers like Azure, AWS, or Digital Ocean. Using docker-machine commands, you can start, inspect, stop, and restart a managed host, upgrade the Docker client and daemon, and configure a Docker client to talk to your host.
Compose is a tool for defining and running multi-container Docker applications. With Compose, you use a YAML file to configure your application’s services. Then, with a single command, you create and start all the services from your configuration. To learn more about all the features of Compose, see the list of features. Compose works in all environments: production, staging, development, testing, as well as CI workflows.
Kitematic’s one click install gets Docker running on your Mac and lets you control your app containers from a graphical user interface (GUI). It easily search and pull your favorite images on Docker Hub from Kitematic GUI to create and run your app containers. It seamlessly switch between Kitematic GUI or Docker CLI to run and manage your application containers. It automatically map ports, visually change environment variables, configuring volumes, streamline logs and CLI access to containers.
Docker for Windows
Docker is a full development platform for creating containerized apps, and Docker for Windows is the best way to get started with Docker on Windows.
Docker for Mac
Docker for Mac is an easy-to-install desktop app for building, debugging and testing Dockerized apps on a Mac. Docker for Mac is a complete development environment deeply integrated with the MacOS Hypervisor framework, networking and filesystem. Docker for Mac is the fastest and most reliable way to run Docker on a Mac.
Developing with docker under OSX/ Windows is a huge pain, since sharing your code into containers will slow down the code-execution about 60 times (depends on the solution). Testing and working with a lot of the alternatives made us pick the best of those for each platform, and combine this in one single tool: docker-sync.
- Support for OSX, Windows, Linux and FreeBSD
- Runs on Docker for Mac, Docker for Windows and Docker Toolbox
- Uses either native_osx, unison or rsync as possible strategies. The container performance is not influenced at all, see performance
- Very efficient due to the native_osx concept
- Without any dependencies on OSX when using (native_osx)
- Backgrounds as a daemon
- Supports multiple sync-end points and multiple projects at the same time
- Supports user-remapping on sync to avoid permission problems on the container
- Can be used with your docker-compose way or the integrated docker-compose way to start the stack and sync at the same time with one command
- Using overlays to keep your production docker-compose.yml untouched an portable
- Supports Linux* to use the same toolchain across all platforms, but maps on a native mount in linux (no sync)
Docker Toolbox is an installer for quick setup and launch of a Docker environment on older Mac and Windows systems that do not meet the requirements of the new Docker for Mac and Docker for Windows apps.
Docker Community Edition (CE)
Docker Community Edition (CE) is ideal for developers and small teams looking to get started with Docker and experimenting with container-based apps. Available for many popular infrastructure platforms like desktop, cloud and open source operating systems, Docker CE provides an installer for a simple and quick install so you can start developing immediately. Docker CE is integrated and optimized to the infrastructure so you can maintain a native app experience while getting started with Docker. Build the first container, share with team members and automate the dev pipeline, all with Docker Community Edition.
Docker Enterprise Edition (EE)
Docker Enterprise Edition (EE) 2.0 is the only enterprise-ready container platform that enables IT leaders to choose how to cost-effectively build and manage their entire application portfolio at their own pace, without fear of architecture and infrastructure lock-in. Docker’s container platform enables organizations to accelerate digital and multi-cloud initiatives by automating the delivery of legacy and modern applications using an agile operating model with integrated security. Because Docker EE includes services, support and training, organizations have a complete containerization strategy for supporting an ever-changing business environment.
A swarm is a group of machines that are running Docker and joined into a cluster. After that has happened, you continue to run the Docker commands you’re used to, but now they are executed on a cluster by a swarm manager. The machines in a swarm can be physical or virtual. After joining a swarm, they are referred to as nodes.
Docker Cloud provides a hosted registry service with build and testing facilities for Dockerized application images; tools to help you set up and manage host infrastructure; and application lifecycle features to automate deploying (and redeploying) services created from images.
Docker Cloud uses the hosted Docker Cloud Registry, which allows you to publish Dockerized images on the internet either publicly or privately. Docker Cloud can also store pre-built images, or link to your source code so it can build the code into Docker images, and optionally test the resulting images before pushing them to a repository.
- Use of runtime variables to save into another variable using register in Ansible - September 6, 2018
- Ansible & Ansible Tower Variable Precedence Hierarchy - September 6, 2018
- How to use template in Ansible? - September 6, 2018