by Changepond Posted on August 6, 2018
Docker is a tool designed to make it easier to create, deploy, and run applications by using containers.
What is Docker?
Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package. By doing so, thanks to the container, the developer can rest assured that the application will run on any other Linux machine regardless of any customized settings that machine might have that could differ from the machine used for writing and testing the code. So the parity between the environments is same.
And importantly, Docker is open source. This means that anyone can contribute to Docker and extend it to meet their own custom needs
Who is Docker for?
Docker is a tool that is designed to benefit both developers and system administrators, making it a part of many DevOps (developers + operations) toolchains. For developers, it means that they can focus on writing code without worrying about the system that it will ultimately be running on. It also allows them to get a head start by using one of thousands of programs already designed to run in a Docker container as a part of their application. For operations staff, Docker gives flexibility and potentially reduces the number of systems needed because of its small footprint and lower overhead.
Following are the major takeaways from the survey conducted by leading research unit
- Docker Adoption is up 5x in one year
- Larger companies are early adopters
- The average company Triples its Docker usage within 5 Months
During the DockerCon keynote of Docker’s CEO Ben Golub the incredible growth of Docker already became clear. Some highlights from his presentation:
- There are 460,000 Dockerized applications, a 3100% growth over two years.
- Over 4 billion containers have been pulled so far.
- Docker is supported by a large and fast growing community of contributors and users
Benefits of using Docker
1. Return on investment & cost savings
The first advantage of using Docker is the ROI. Docker can help facilitate savings by dramatically reducing infrastructure resources. The nature of Docker is that fewer resources are necessary to run the same application. To explain more on this statement. VM’S include a guest operating system within each machine making them heavyweight and eating up valuable storage capacity .Docker containers are lightweight runtimes, and include only what’s required to run our applications .Each container running a Docker engine which installs on a host shares the same Linux kernel with no guest operating system within each container.
Because of the reduced infrastructure requirements that Docker has, organizations are able to save on everything from server costs to operational costs needed to maintain them. Docker allows engineering teams to be smaller and more effective.
2. Standardization & productivity
Docker containers ensure consistency across multiple development, release cycles and standardizing the environment. One of the biggest advantages to a Docker-based architecture is actually standardization. Docker provides repeatable development, build, test, and production environments. Standardizing service infrastructure across the entire pipeline allows every team member to work on a production parity environment. By doing this, engineers are more equipped to efficiently analyze and fix bugs within the application. This reduces the amount of time wasted on defects and increases the amount of time available for feature development.
3. Compatibility & maintainability
Eliminate the “it works on my machine” problem once and for all. One of the benefits that the entire team will appreciate is parity. Parity, in terms of Docker, means that your images run the same no matter which server or whose laptop they are running on. For developers, this means less time spent setting up environments, debugging environment-specific issues, and a more portable and easy-to-set-up codebase. Parity also means your production infrastructure will be more reliable and easier to maintain.
4. Multi-Cloud Platforms
This is possibly one of Docker’s greatest benefits. Over the last few years, all major cloud computing providers, including Amazon Web Services (AWS) and Google Compute Platform (GCP), have embraced Docker’s availability and added individual support. Docker containers can be run inside an Amazon EC2 instance, Google Compute Engine instance, Rackspace server or VirtualBox, provided that the host OS supports Docker. If this is the case, a container running on an Amazon EC2 instance can easily be ported between environments, for example to VirtualBox, achieving similar consistency and functionality. Also, Docker works very well with other providers like Microsoft Azure, and OpenStack, and can be used with various configuration managers like Chef, Puppet, and Ansible, etc.
Docker ensures our applications and resources are isolated and segregated. Docker makes sure each container has its own resources that are isolated from other containers. We can have various containers for separate applications running completely different stacks. Docker helps us to ensure clean app removal since each application runs on its own container. If we are no longer need an application, we can simply delete its container. It won’t leave any temporary or configuration files on our host OS.
On top of these benefits, Docker also ensures that each application only uses resources that have been assigned to them. A particular application won’t use all of our available resources, which would normally lead to performance degradation or complete downtime for other applications.
From a security point of view, Docker ensures that applications that are running on containers are completely segregated and isolated from each other, granting you complete control over traffic flow and management. No Docker container can look into processes running inside another container. From an architectural point of view, each container gets its own set of resources ranging from processing to network stacks.