A fast and easy Docker tutorial for beginners

What is Docker?

An open platform for developing, shipping, as well as running applications, is what we call Docker. Also, we can say, Docker is a container-management service. It enables us to separate our applications from our infrastructure hence we can deliver software quickly. As its job, it is possible to manage our infrastructure, in the same ways we use to manage our applications, with the help of Docker. Moreover, with the help of Docker’s methodologies for shipping, testing, and deploying code quickly, it is possible to reduce the delay between writing code remarkably or running it in production.

The main purpose of Docker is to easily develop applications and further ship them into containers so that they can then be deployed anywhere. This feature is very helpful to developers.

Docker has become the buzzword for modern world development, since the initial release of Docker in March 2013, especially in the face of Agile-based projects.

Docker Tutorial – Audience

As we know, Docker has spread like destructive fire across the industry and also it is really making an impact on the development of new generation applications. Hence, anyone who is interested in learning all the aspects of Docker or interested in learning Docker as a container service can go through this Docker Tutorial.

Apache Docker Tutorial – Prerequisites

Well, in order to learn Docker, it is must to have knowledge of basic concepts of Windows as well as the various programs which are already available on the Windows operating system. Also, it would be a great advantage if the readers already have some exposure to Linux before learning Docker.

Docker Tutorial – Platform

Docker offers an ability to package and run an application in a loosely isolated environment, generally, that is known as a container. It is possible to run many containers simultaneously on a given host, because of isolation and security. Since there is no need for the extra load of a hypervisor, Containers are lightweight in nature. However, they run directly within the host machine’s kernel. It simply signifies that we can run more containers on a given hardware combination than if we were using virtual machines. Also, we can run these containers within host machines those are actually virtual machines!

In order to manage the lifecycle of our containers, Docker offers tooling as well as a platform:

By using containers, Develop application and its supporting components.

Especially, for distributing and testing your application, the container becomes the unit.

Deploy application into a production environment, either as a container or an orchestrated service, it works the same whether the production environment is a cloud provider, a local data center, or even if a hybrid of the two.

You must know – Pros and Cons of Docker

Docker Engine

However, a client-server application with several major components like a server, REST API and CLI Client, is what we call Docker Engine. Let’s understand its components in detail:

• A type of long-running program called a daemon process (the dockerd command), is a Server.
• An API which specifies interfaces which programs can use to talk to the daemon as well as instruct it what to do is a REST API.
• And, at last, a command line interface (CLI) client (the docker command).

Basically, to control or interact with the Docker daemon through scripting or direct CLI commands, the CLI uses the Docker REST API. Although, there are many Docker applications those use the underlying API and CLI.

In addition, the daemon manages and creates Docker objects, like containers, networks, images, and volumes.

Why we use Docker?

• Fast, consistent delivery of your applications

By allowing developers to work in standardized environments, Docker streamlines the development lifecycle, with the help of local containers that offer our applications and services as well. Moreover, for continuous integration and continuous delivery (CI/CD) workflows, containers are great.

• Responsive deployment and scaling

The container-based platform of Docker permits for highly portable workloads. Its containers can run on several platforms like, on physical or virtual machines in a data centre, on a developer’s local laptop, on cloud providers, or also in a mixture of environments.

In addition, due to the lightweight nature and portability of Docker, it is easy to manage workloads dynamically, scaling up or tearing down applications and services in near real time.

• Running more workloads on the same hardware

Since Docker is fast and lightweight, it offers a viable, cost-effective alternative to hypervisor-based virtual machines. Hence, we can use much of our compute capacity in order to achieve our business goals. Also, we can say, for high-density environments as well as for small and medium deployments especially where we need to do more with fewer resources, Docker is perfect a right choice.

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See Also-

• Docker – Features
• Docker – Architecture
• Docker – Pros & Cons