DevOps Tools to Know in 2022

An approach known as DevOps combines software development with IT operations. With the use of automation, firms are able to rapidly roll out new software and update existing software. These DevOps tools have been in great demand for the previous few years, due to their swift adoption by companies.

This conclusion is supported and proven by a large number of statistics. In the United States, the information technology and telecommunications sector kept over 30% of the market share in 2019. DevOps tools are increasingly being used to add to NFV (Network Function Virtualization) technologies and handle container-based networks, and this has led to an increase in the use of DevOps.

The DevOps software tools market generated a total profit of $8.5 billion in 2019 worldwide. IDC also found that the market for DevOps tools has expanded significantly in 2020 and 2021, despite the current pandemic.

A Quick Guide to DevOps Tools

The use of DevOps tools ensures that automation, transparency, and collaboration remain at the forefront of the development process. With these solutions, all stakeholders, whether they be security, development, business, or operations teams, may share and exchange data and technical expertise in an efficient manner.

There are several DevOps tools available today because of the specific needs of the DevOps team. DevOps tools might be difficult to choose for stakeholders. Our list of DevOps tools to adapt is below.

Useful DevOps Tools in 2022

Many DevOps tools have been developed throughout the years to facilitate development and communication. Interested in reworking your DevOps strategy? Consider these significant DevOps tools that you will need to use in the year 2022.

  1. Kubernetes

Google built Kubernetes, a container orchestration technology, to help developers run their applications on containers. Large-scale containers are the focus of this open-source project, which aspires to push containerization to new heights in the process. Organizing containerized apps into logical parts for easy discovery and management, scaling, and deployment automation are all made possible with this tool.


  • Can be used on a wide range of cloud and hybrid infrastructure.
  • You don’t need to add more people to your operations team to scale.
  • Web servers can be scaled up and down depending on the demand for applications.
  • Scaling both mobile and web apps under development to the highest levels of internet traffic is possible with this tool.
  • When there are downtimes, the performance of online server instances suffers.
  • Using Docker, it works wonderfully.
  • Utilizes the concept of a master and a slave.
  1. Docker

As a DevOps tool, Docker simplifies and speeds up to several activities in your software development lifecycle (SDLC). To launch a program, you need nothing more than a Docker container image, which is a ready-to-use, standalone package.

To run apps in a distant location, you can use Docker Engine to connect to containers on your local machine.


  • The Docker app can be used to manage, run, and package deployed apps.
  • You may find a wide variety of images on Docker Hub, which is managed by real publishers and users.
  • Helping developers build, test, and collaborate is what Docker is all about.
  • Windows and Linux server operating systems are both supported, as is the container runtime included.
  • Provides a common framework for the packaging of various apps.
  1. Nagios

As a DevOps tool, this one monitors your entire infrastructure and system. Nagios is used by IT infrastructure monitoring teams to correct and propose remedies to all infrastructure-related issues before they pose a risk to the teams. As a result, it monitors your database, network, logs, apps, and protocols.


  • It is free to use because it is open source.
  • Improves infrastructure and the timetables for its maintenance.
  • Infrastructure monitoring and assessment are performed via this tool.
  • Automatically solves various problems.
  • Searching logs is made simple.
  • Optimizes use of available bandwidth and network traffic by monitoring bandwidth and traffic.
  • Analyzes and stores log data sent across the network.
  1. Ansible

People can use this tool to automate the process and work with each other on it. Integration and automation of testing, development, and performance handling and deployment can be accelerated by using this tool. IT processes and the entire app lifecycle may be easily automated with Ansible.

Separate apps can be supported by different modules in Ansible. Throughout the entire process, it is able to keep things simple.


  • Prevents dangers arising from inadequate IT infrastructure knowledge.
  • For configuration handling, it was designed to be authentic, easy, and stable.
  • Complexity can be avoided by using this tool.
  • Helps with the development of multi-tier applications.
  1. Git

For open-source contributors and remote teams, Git is an excellent choice. It’s also one of the most well-known and commonly utilized DevOps tools. App developers can follow the progress of your app’s development by using a distributed SCM (Source Code Management) solution. If necessary, developers can simply go back to the previous version.

For Git repository hosting services, BitBucket and GitHub are now the most popular. In comparison to GitHub, BitBucket provides unlimited private repositories for a team of up to five members.


  • It facilitates cross-platform development.
  • Workflow for branches is included.
  • A faster release cycle is made possible.
  • DevOps tool is free and open-source.
  • Pull requests are aided.
  1. Puppet

Monitoring, handling, and keeping up with infrastructure swiftly are all goals of this open-source program. When it comes to deploying software, Puppet is the best cross-platform configuration management solution. Managing many servers with it is a breeze because of its DevOps capabilities.

Using Puppet, the master-slave infrastructure may be established. With it, you’re able to manage a large number of resources and teams. It has a wide range of modules that may be coupled with other well-known DevOps tools, making it easy to resolve issues. By considering the entire infrastructure as a code, Puppet can automate the management of the infrastructure.


  • Deployment is more rapid.
  • Automated design of the entire system.
  • Identifying and resolving conflicts on a regular basis.
  • Real-time information reporting.
  • Provides a client-server architecture.
  • IBM mainframes and Cisco switches are all supported by this software.
  • UNIX, Linux, and Windows are among the operating systems supported.
  • Hybrid apps and infrastructure are supported.
  1. Selenium

Web automation is Selenium’s primary focus. Using it, web-based applications may be tested and managed more efficiently. It has three primary parts:

  • Grid – Scalability, and handling of numerous environments from a single location are the main benefits of using Grid.
  • IDE – If you want to record and playback your interactions with the browsers, the IDE is a Firefox and Chrome add-on that makes it easy.
  • WebDriver – Allows for the creation of browser-based regression automation suites, as well as the ability to distribute scripts across a variety of settings.


  • Scalable code is created.
  • Creates test scripts in a wide range of programming languages, including C#, PHP, Python, and JavaScript.
  • Use the same script in several places.
  1. Prometheus

As an open-source system and performance monitoring software, Prometheus is user-driven and governed by the community. Because it is built on a time series data model, it may send out notifications accordingly. Container monitoring is also supported. DevOps teams and cloud service providers frequently employ Prometheus’s monitoring mechanism.


  • The Node Exporter can be customized to collect data from a specific client.
  • App performance is unaffected by creating metrics.
  • It’s simple to alter.
  • In order to grow, the application uses federation and functional sharding techniques.
  • PromQL provides robust reporting capabilities.
  • The flexible query language is included.
  • Keeps an eye on a variety of microservices.
  1. Splunk

DevOps teams can use this tool to have a better knowledge of how their software is being developed and deployed. To find problems with the whole IT system, it lets you compare logs from different sources like devices, websites, and apps.

To get up and running with IoT integration, Splunk is the ideal platform. There is a lot of information that it collects and analyses to give you information that can help you make smart business decisions.


  • Analyzes logs to find out what’s going on.
  • Machine-generated data is stored, analyzed, visualized, and searched.
  • Several different file types are supported.
  • Provides business intelligence.
  1. Jenkins

In order to automate the repetition and execution of various tasks, Jenkins is a server-side continuous integration solution. Core server software development is carried out on this server. With Jenkins’ open-source automation engine, DevOps teams are able to view and integrate project updates and quickly discover difficulties.

Every project can benefit from using Jenkins, regardless of its size or complexity. It is written in Java. Jenkins may be customized with hundreds of add-ons and plug-ins.


  • Using a web-based interface, you can easily set up and customize Jenkins.
  • To get started with DevOps, it’s the simplest tool out there.
  • Runs on a wide range of operating systems including OS X and Windows as well as UNIX and Linux.
  • To combine multiple processes into one, use a script to automate this process integration.
  • Constantly updated and delivered features.
  • Rest API, web-based GUI, and command-line interfaces are all available.


There are numerous DevOps tools available for each phase of the development process, thus you should employ a collection of integrated tools to handle each phase. It’s important to think about the teams and the environment while making a tool selection. For software development, the above list of 10 main DevOps tools is excellent.

Also Read: What is DevSecOps and How Is it Different Than DevOps?

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