Developers build apps and send them to testers. But development environments and test systems are different; so the code doesn’t work. There are two solutions to this: Docker and virtual machines, but Docker is significantly better in terms of performance, scaling, and efficiency.
Check Docker DevOps Tools online.
What is Docker?
Docker is an open-source project with a friendly logo kit that makes it easy to deploy applications in software containers. It is a set of PaaS products that deploy containers (software packages) using virtualization at the operating system level. It embodies the resource isolation functionality in the Linux kernel but offers an easy-to-use API.
In simple terms, Docker is a tool or platform designed to simplify the process of building, deploying, packaging and delivering applications and their parts such as libraries and other dependencies. Its main purpose is to automate the process of application deployment and virtualization at the Linux operating system level. This allows multiple containers to run on the same hardware and delivers high performance while managing isolated applications and enabling seamless configuration.
Docker benefits include:
· High return on investment and cost savings
· Productivity and Standardization
· Support and compatibility
· Fast deployment
· Faster configuration
· Seamless portability
· Continuous testing and implementation
· Isolation, Segregation and Security
Docker vs. Virtual machine
A virtual machine is an application environment that emulates dedicated hardware and allows the emulation of a computer system. Docker and VM both have their advantages and disadvantages, but when running applications in multiple environments, both can be used. So who won? Let’s have a quick comparison of Docker and VM.
Operating system support: VMs require a lot of memory when installed on the operating system, while Docker containers take up less space.
Productivity: Running multiple virtual machines can decrease performance when storing Docker containers in a single Docker machine. That way, they will perform better.
Boot time: Virtual machines have longer boot times than Docker.
Efficiency: Virtual machines are less efficient than Docker.
Scaling: Virtual machines are difficult to scale while Docker is easy to scale.
Storage Allocation: You cannot share amounts of data with virtual machines, but you can share and reuse them between different Docker containers.
Portability: Virtual machines may experience compatibility issues when porting across multiple platforms; Docker is easy to transport.
It’s clear that Docker is the winner.
What is DevOps?
Before we talk about how Docker integrates and simplifies DevOps, let’s briefly discuss DevOps and how to use it. In short, DevOps is an ecosystem or set of practices that automate processes between development, testing, and IT teams to enable efficient and reliable creation, testing, and seamless software development, testing and startup.
DevOps benefits include:
· Fast and continuous software delivery
· Faster problem solving
· Reduce management difficulties
· Fast delivery function
· Improve collaboration and communication
· More time for creativity and innovation
· Stable work environment
· Happier, more productive. and collaboration team
· Improved employee engagement
· More opportunities to develop
Docker for DevOps
Docker is a suitable platform for the DevOps ecosystem. It is designed for software companies struggling to cope with changing technology, business, and customer needs. The benefits that Docker brings to the DevOps environment have made it an indispensable tool in the toolchain.
The reason Docker is great for DevOps is because of its advantages and use of application containers which help in rapid development and release. DevOps is primarily used to solve “Dev” and “Ops” problems, and Docker seems to solve most of those problems, especially those that can run on any computer. In this way, it allows all teams to collaborate and work efficiently and effectively.
Docker allows you to create the inevitable environment for development, production, and staging, giving you seamless control over all changes. If you want to revert to an earlier version, you can always do so as all environments are similar. Docker ensures that features that work in development environments work in production and stage environments.
Best practices for creating Docker images
Start with a matching main image
Use nested compilation. If you want to use a version of Docker that doesn’t have multi-level compilation, try reducing the number of levels in your image.
If you have several images that have a lot in common, you can create your own master image with the components together and then build your unique image on top of it.
Use the product image as the main image to keep the production image clean, but enable it for debugging
When creating an image, consider adding useful tags that encode the desired target, version information, and stability.
How does Docker improve its DevOps approach?
One of the biggest advantages of using Docker with DevOps is that all developers, testers, and system administrators use it. For example, a developer can use a Docker file to create and run a Docker image on a local computer. System administrators can use the same Docker image to update and manage production environments.
It allows you to create a stable environment for development, production and deployment; this approach also offers several advantages, as discussed below.
Benefits of Using Docker with DevOps
Docker and DevOps intend to encourage collaboration between the various teams involved in the software lifecycle. While both platforms offer various advantages for development, business, and culture, they also have some drawbacks. The good news is that using the two concepts together can overcome this pitfall.
Here are some of the key benefits of using Docker with DevOps
· You get a high level of control over all changes because they are made using Docker containers and images. This way, you can always revert to the previous version.
· Docker gives you the assurance that features that work in one environment will work in another.
· Docker, together with DevOps, simplifies the process of creating application topologies that embody variously interconnected components.
· This simplifies the load balancing configuration the process with Ingress and the integrated service concept.
· This allows you to do CI/CD with them, which is more convenient to use than just using Docker.
Docker is a revolutionary technology that is accepted and loved by many. It provides a single platform for all phases of application development and ensures seamless collaboration between development and test teams. The DevOps environment consists of several continuous phases including development, integration, testing, implementation, and monitoring.
Docker is used in the ongoing implementation phase of the DevOps ecosystem and plays an important role in the environment. With the security, scalability and simplicity it brings to the software lifecycle, Docker is a must-have in any DevOps environment.