Top 5 DevOps Tools in 2020

DevOps in recent years has been gaining a lot of momentum and popularity. To have a successful approach, Businesses are increasingly deciding on considering changes that prioritize growth and development. Today, many businesses see DevOps as a critical method to achieve quicker results and to have a more unobstructed view of the solution to business challenges in general. A report by Grand View states that the global DevOps market size is expected to reach USD 12.85 billion by 2025. Another report states that the DevOps Market size exceeded USD 4 billion in 2019. DevOps have been a major area of interest and is expected to reach its peak by the end of 2020.

We all know, DevOps makes things easier.

As we all know, no tool fits all since DevOps covers the entire lifecycle of Software Development. However, there are tools that have gotten matured in their capabilities and provide a wide array of support in almost any scenario.

Docker

Dockers is a containerized tool that can be installed on any operating system and allows us to create, run and manage containers on a single computer. It is a set of products that use virtualization at the OS level to deliver software to packages called containers. Containers are isolated from each other and are bundled with their own software, libraries, and configuration files; they can communicate with each other via well-defined channels.

Docker has been the best container platform since its launch in 2003, but even today Dockers has been a lifesaving tool for developers. Docker allows you to create secure containers. These containers wrap up the entire code and are completely portable. We can move this container to the other operating system without causing any defect or change. It’s going to work just like it was working on the first developer’s computer.

Git

It is the oldest tool in terms of DevOps history. Over the years, Git has become one of the world’s most adored DevOps tools. Git is a distributed version control system designed to track changes in source code during software development. It is designed to coordinate work between programmers but can be used to track changes in any set of files.

It is an open-source, popular versioning system for software. It works on the client-server model, which basically means there is a central server that holds the main repository of the code. The code can be downloaded from the main repository at the same time by different clients or developers.

Jenkins

Jenkins is a Java-written open-source automation application. Jenkins provides continuous delivery aspects with automation. Jenkins is used for the construction of continuous delivery pipelines. To give you an example, here is a scenario where the Jenkins server will take our application container from the development environment and make it available to the testing environment, the QA environment, or some other non-production environment.

Jenkins server is in the middle of the entire CI / CD network. It automates this whole process which means whenever a developer will commit a change in code that code will automatically be visible to the testing server or QA team.

Kubernetes

Kubernetes is an open-source container orchestration system for automating the deployment, scaling and management of applications. Originally designed by Google, it is now being maintained by the Cloud Native Computing Foundation. It aims to provide a “framework for automating the deployment, scaling, and operation of application containers across host clusters.” Works with a variety of container tools, including Docker.

Many cloud services offer a Kubernetes-based platform or infrastructure as a service on which Kubernetes can be deployed as a platform service provider. Many vendors also offer their own branded Kubernetes distributions.

Ansible

Ansible is an open-source application used for automated software provisioning, configuration management, and deployment of applications. Ansible is the backbone of controlling a multi-machine automated cluster environment.

Ansible functions on a standard client-server model. The client acts as a master who is the cluster’s center point and provides centralized control of all client machines (slaves) connected to it. We can command any client machine or deploy any application from a single master machine to more than one machine.

Every year, new DevOps tools come on board with new functionalities. There are literally hundreds of DevOps software available on the market. It can be a daunting task to try all these tools at once

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