Get started with Docker

Developing apps today requires so much more than writing code. Multiple languages, frameworks, architectures, and discontinuous interfaces between tools for each life-cycle stage create enormous complexity. Docker simplifies and accelerates your workflow while giving developers the freedom to innovate with their choice of tools, application stacks, and deployment environments for each project. So let’s get started with Docker.

What is a container?

A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another. A Docker container image is a lightweight, standalone, executable package of software that includes everything needed to run an application: code, runtime, system tools, system libraries, and settings.

Container images become containers at runtime and in the case of Docker containers – images become containers when they run on Docker Engine. Available for both Linux and Windows-based applications, containerized software will always run the same, regardless of the infrastructure. Containers isolate software from its environment and ensure that it works uniformly despite differences for instance between development and staging.

Docker containers that run on Docker Engine:

Standard: Docker created the industry standard for containers, so they could be portable anywhere
Lightweight: Containers share the machine’s OS system kernel and therefore do not require an OS per application, driving higher server efficiencies and reducing server and licensing costs
Secure: Applications are safer in containers and Docker provides the strongest default isolation capabilities in the industry

Docker in daily life

why we use docker containers? I will explain to you some simple scenarios. you have 2 dev websites, one uses python 3.6 and one uses python 3.8. you can simply solve this problem by using two different virtual environments.

but if your site needs PostgreSQL 10 and 12 at the same time, what would you do? the simples solution is docker. On a host, you can run PostgreSQL 10 and 12 at the same time even 100 of PostgreSQL servers at the same time.

Another big advantage is you can have the same environment at your local, staging and production. So there is no room for the “works in my local” joke in docker. Docker is the best way to implement a one-step installation for your product. and the planet’s best solution for auto-scaling with Kubernetes.

The industry standard today is to use Virtual Machines (VMs) to run software applications. VMs run applications inside a guest Operating System, which runs on virtual hardware powered by the server’s host OS.

VMs are great at providing full process isolation for applications: there are very few ways a problem in the host operating system can affect the software running in the guest operating system, and vice-versa. But this isolation comes at great cost — the computational overhead spent virtualizing hardware for a guest OS to use is substantial.

Containers take a different approach: by leveraging the low-level mechanics of the host operating system, containers provide most of the isolation of virtual machines at a fraction of the computing power.

Why use containers?

Containers offer a logical packaging mechanism in which applications can be abstracted from the environment in which they actually run. This decoupling allows container-based applications to be deployed easily and consistently, regardless of whether the target environment is a private data center, the public cloud, or even a developer’s personal laptop. This gives developers the ability to create predictable environments that are isolated from the rest of the applications and can be run anywhere.

From an operations standpoint, apart from portability containers also give more granular control over resources giving your infrastructure improved efficiency which can result in better utilization of your compute resources.

Basic technical Terms

before you start, you have to learn basic technology and its terms.

Docker engine

Docker Engine is an open source containerization technology for building and containerizing your applications. Docker Engine acts as a client-server application with:

A server with a long-running daemon process dockerd.
APIs which specify interfaces that programs can use to talk to and instruct the Docker daemon.
A command line interface (CLI) client docker.

The CLI uses Docker APIs to control or interact with the Docker daemon through scripting or direct CLI commands. Many other Docker applications use the underlying API and CLI. The daemon creates and manage Docker objects, such as images, containers, networks, and volumes.

Docker container

Docker Image

A Docker image is made up of a collection of files that bundle together all the essentials, such as installations, application code, and dependencies, required to configure a fully operational container environment.

You can create a Docker image in one of two ways:

Interactive Method: By running a container from an existing Docker image, manually changing that container environment through a series of live steps, and saving the resulting state as a new image.
Dockerfile Method: By constructing a plain-text file, known as a Dockerfile, which provides the specifications for creating a Docker image.

Dockerfile

A Dockerfile is a script/text configuration file that contains collections of commands and instructions that will be automatically executed in sequence in the docker environment for building a new docker image. This file is written in a popular, human-readable Markup Language called YAML.

The docker build command processes this file generating a Docker Image in your Local Image Cache, which you can then start-up using the docker run command, or push to a permanent Image Repository.

Docker Volume

Volumes are the preferred mechanism for persisting data generated by and used by Docker containers. While bind mounts are dependent on the directory structure and OS of the host machine, volumes are completely managed by Docker. Volumes have several advantages over bind mounts:

Volumes are easier to back up or migrate than bind mounts.
You can manage volumes using Docker CLI commands or the Docker API.
Volumes work on both Linux and Windows containers.
Volumes can be more safely shared among multiple containers.
Volume drivers let you store volumes on remote hosts or cloud providers, to encrypt the contents of volumes, or to add other functionality.
New volumes can have their content pre-populated by a container.
Volumes on Docker Desktop have much higher performance than bind mounts from Mac and Windows hosts.

In addition, volumes are often a better choice than persisting data in a container’s writable layer, because a volume does not increase the size of the containers using it, and the volume’s contents exist outside the lifecycle of a given container.

Docker network

For Docker containers to communicate with each other and the outside world via the host machine, there has to be a layer of networking involved. Docker supports different types of networks, each fit for certain use cases.

For example, building an application that runs on a single Docker container will have a different network setup as compared to a web application with a cluster with the database, application, and load balancers which span multiple containers that need to communicate with each other. Additionally, clients from the outside world will need to access the web application container.

Docker compose files

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. You can learn more about each case in Common Use Cases.

Using Compose is basically a three-step process:

Define your app’s environment with a Dockerfile so it can be reproduced anywhere.
Define the services that make up your app in docker-compose.yml so they can be run together in an isolated environment.
Run docker-compose up and Compose starts and runs your entire app.

okay, you are about to get started with Docker, lets dive into the docker.

On December 27, 2020 By Vishnu VN