Docker’s journey started way back in 2010 when Solomon Hykes and Sebastien Pahl founded Docker Inc. during the Y Combinator Summer 2010 startup incubator group. The duo launched Docker Inc. in 2011. Initially, Hykes started the Docker project as an internal project within dotCloud, which is a platform-as-a-service (PaaS) company. Finally, after two years, in 2013, Docker was launched as an open-source PaaS before the public at PyCon in Santa Clara. The real buzz surrounding Docker took pace in 2014 when Docker 1.0 was released for public use.
Fast forward to this day, and Docker has emerged as a staple name in the industry, soaring higher than ever. As of now, Docker technology has helped place over 3.5 million applications in containers, with more than 37 billion containerized applications downloaded to date!
But, what is Docker?
App development is a complicated process that involves so much more than just writing clean and functional code. You need to leverage multiple development frameworks, architectures, and programming languages. The challenge is further amplified as you have to juggle between discontinuous interfaces while using different tools for every lifecycle stage, leading to more complexities. How to overcome these challenges?
The answer is Docker.
Docker is a collection of PaaS products explicitly designed to ease the process of creation, deployment, and running of applications using special units called “containers.” Docker uses OS-level virtualization to deliver software in packages, thereby simplifying and accelerating workflows while also allowing developers to innovate with their preferred choice of tools, application stacks, and deployment environments for their projects. Learn more about Docker & it’s architecture and workflow.
Main Components of Docker
Here are the main parts that make up the Docker software as a service offering:
- Software: The persistent Docker daemon, or docked, controls Docker containers and manages container objects. Users can communicate with Docker daemons using the command-line interface (CLI) provided by the Docker client program known as Docker.
- Objects: Docker objects are various components used to assemble an application in Docker. Images, containers, and services comprise the three core kinds of Docker objects. An environment that runs apps is standardized and wrapped in a Docker container. The Docker API, or CLI, is used to manage containers. A read-only template for creating containers is known as a Docker image. Applications are shipped and stored as images. Scaling containers across numerous Docker daemons is made possible via a Docker service. A group of collaborating daemons that interact with one another using the Docker API is the end product, known as a swarm.
- Registries: A repository for Docker images is a Docker registry. To download (“pull”) or upload (“push”) images that they have created, Docker clients connect to registries. Registries can be either private or public. Docker Hub is the primary public registry. The default registry where Docker looks for images is Docker Hub.
What are Containers?
A container refers to a standard unit of software that compartmentalizes code into packages along with its dependencies. This allows the application to run quickly in a stable manner from one computing environment to another. Containers isolate the software from its environment to ensure that it functions uniformly irrespective of the differences between different stages of the software lifecycle.
A Docker container image is a standalone lightweight and executable software package that contains all the essential components (code, runtime, system tools, system libraries, and settings) required for running an application. A container image transforms into a Docker container when it runs on the Docker Engine. Once containerized, the software will run in the same way for both Linux and Windows-based applications, regardless of the infrastructure.
The three core aspects of Docker containers running on the Docker Engine include:
- Standard – It refers to the industry standard for Docker containers that could be ported anywhere.
- Lightweight – The containers share a machine’s OS system kernel, and hence, they do not require an OS per application resulting in higher server efficiencies while reducing server and licensing costs.
- Secure – Applications are safer in Docker containers since Docker promises to offer the most robust default isolation capabilities in the industry.
Reasons why Developers love Docker
In the 2019 Stack Overflow Developer Survey, developers around the world ranked Docker as the #1 most wanted platform, #2 most loved platform, and #3 most broadly used platform!. This response came from nearly 90,000 developers from around the world who cited a list of reasons behind the growing popularity of Docker:
1. It works on all machines – One of the best things about Docker is that it eliminates environment-specific issues out of the equation, thereby making app development a hassle-free process.
2. Makes CI/CD a seamless affair – Developers never like doing the same thing again and again. Not only does it take the fun out of the quotient, but it also hampers productivity. Thanks to Docker, developers can quickly switch the project dependencies to any machine within seconds!
3. It improves productivity – By automating and streamlining the creation, deployment, and running applications, Docker lets developers focus more on writing efficient code rather than spending their valuable time on worrying about the complexities of switching environments and machines.
4. It facilitates easy collaboration with the latest tech trends – One of the coolest features of Docker has to be its flexibility in working with a wide range of technologies. With Docker, you can build AI projects, create a Raspberry Pi program, and much more.
5. It standardizes both development and deployment – Since Docker containers automate repetitive processes, they help standardize both application deployment and development across on-premise and cloud platforms, thereby boosting business value.
6. It simplifies cloud migration – Docker not only runs on all the major operating systems but is also compatible with all major cloud providers. Hence, containerized apps are easily portable across clouds and data centers.
7. It lets you fix a broken app – With Docker, you never have to worry about fixing a broken app since it allows you to roll back to a stable and secure state without any hassle.
8. It looks great on your resume – According to a 2019 Indeed report, there’s been a 50% increase in job postings that specify Docker as a preferred skill, with the share of Docker-oriented job searches per million increasing by a whopping 9,538% since 2014! Naturally, if you have Docker skills, you are a valuable asset for companies right now.
Also read: Docker Project Ideas for Beginners
Docker and AWS Collaboration
AWS and Docker work together to speed up the delivery of contemporary programs to the cloud. With Docker, you can easily scale and deploy apps into any environment while being confident that your code will work. Developers and administrators can create, ship, and run distributed applications at any scale with Docker while using AWS.
Through this partnership, developers may more easily deploy apps to Amazon ECS and AWS Fargate using Docker Compose and Docker Desktop in conjunction with their current local workflow.
upGrad’s Exclusive Data Science Webinar for you –
Transformation & Opportunities in Analytics & Insights
Explore our Popular Data Science Courses
Docker Roles and Responsibilities
- Using Docker, an application that functions properly in one development environment, will do so in another.
- Building apps with specialized interconnected components is simpler when using Docker and DevOps.
- Additionally, you have complete control over every change made throughout the development life cycle. This makes returning to an earlier version of the desired program simpler.
Docker Salary in India
Today, Docker skills are one of the most in-demand skills in the industry now, Docker salary in India is pretty much on the higher-end. According to Indeed, the average salary for Docker-related software jobs in India ranges anywhere between Rs. 4,79,074 to Rs. 8,14,070 per year. The most popular software jobs with Docker skills are:
- Software Test Engineer – Rs. 4,79,074
- Software Engineer – Rs. 5,83,964
- Senior Software Engineer – Rs. 8,14,070
Top Data Science Skills to Learn
- Linux System Administrator – Rs. 4,85,000
- Senior Systems Engineer – Rs. 6,68,000
- Software Developer – Rs. 9,80,000
- Site Reliability Engineer – Rs. 10,00,000
- IT Team Leader – Rs. 20,00,000
Learn about: Full Stack Developer Salary in India
Learn data science courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.
Read our popular Data Science Articles
Officially, Docker is only connected to one certification; the Docker Certified Associate (DCA)Opens a new window. The DCA is the only IT certification covering the full range of containerization skills, from creating Dockerfiles to overseeing Kubernetes clusters. The average DevOps fresher salary in India is around ₹3.7 Lakhs per year (₹30.8k per month).
As more and more Indian companies come forward to adopt Docker technology, it will further solidify the foundation for Docker skills in India. Consequently, the demand for professionals with Docker skills will also increase in the country.
What is Docker?
Docker is an open platform for developers and sysadmins to build, ship and run distributed applications. It gives programmers, development teams and operations Engineers an efficient way to package, deploy and run applications. It is open platform for developers and sysadmins to build, ship, run distributed applications. It gives programmers, development teams and operations Engineers an efficient way to package, deploy and run applications. It is free and open-source software.
What is the difference between Docker image and containers?
Docker containers and images are two building blocks of the Docker platform. Docker containers are the running instances of the application. Containers are a runtime instances. They are lightweight, portable and can be created in any environment. Docker images on the other hand is the blue print that is needed to create the containers. Docker images are static, they don’t change, they are immutable. They are the source code of your application, they describe how to create and run an application. You can create as many instances of your application as you want using the single source code.
What is the Docker architecture?
The Docker ecosystem is made up of three main components – the Docker Engine, the Docker Hub, and the Docker Plugin. The Docker Engine is a portable, lightweight runtime and is available for Windows, Mac and Linux. The Docker Hub is a cloud service that lets you store, manage and deploy Docker containers. The Docker Hub has many helpful resources for building, testing and distributing Docker containers. The Docker Plugin is a hosted service for Docker images and containers. The Docker plugin is available for the CloudBees Jenkins Platform, CloudBees Jenkins Enterprise and CloudBees Jenkins Operations Center.