“DevOps” is a culture change or technique that unites development and operations teams to transform the software development life cycle (SDLC) into a strategic asset for any organisation. DevOps is a methodology, not a tool. However, tools are required for its implementation. It is essential to choose the proper equipment. Numerous DevOps solutions have been made to enhance development and collaboration as a result of the evolution of technology. In addition, selecting the proper DevOps tools is not a simple task. We have put together a list of the best DevOps tools and their most important features for 2022 to help you improve your DevOps learning and methodology.


Splunk is developing monitoring and investigation software that delivers operational information to DevOps teams by providing real-time data across the delivery lifecycle. It enhances the quality and makes businesses more efficient, protected, and successful. This is one among the deployment tools in devOps.

Built for the cloud, Splunk Cloud offers the finest cloud monitoring solution for DevOps teams by providing genuine insight into the cloud, hybrid, and on-premises settings. Splunk Cloud will analyse cloud infrastructure, apps, and services for performance. It integrates with the majority of CI/CD tools, operation support systems (OSS), Kafka, AWS, Azure, Google Cloud Platform (GCP), Pivotal Cloud Foundry (PCF), and others.

Splunk is a platform that transforms machine data into useful information. For this purpose, it collects data from many pieces of equipment, websites, etc. The headquarters of Splunk are in San Francisco.

The key features of Splunk include:

● Splunk Enterprise will assist you in accumulating, analysing, and deriving insights from your datasets.

● Splunk Light offers capabilities for tiny IT infrastructures.

● Splunk Cloud enables the deployment and management of Splunk as a service.


Jenkins is an open-source CI/CD automation server that allows you to automate the various pipeline pieces and stages based on your requirements. It has a large community of plugins that let it work with Docker, Puppet, Perforce, Apache Ant, Apache Maven, different AWS services, and Git, among other DevOps tools. It is strongly regarded as a devOps developer.

Jenkins is the server for automation. It is an open-source, Java-based application, and its key features are:

● It aids several initiatives in automating, constructing, and deploying.

● It facilitates the distribution of work across various devices and platforms.

● Jenkins is capable of serving as a project’s continuous distribution centre.

Jenkins is a server for automation that is open-source and implemented in the Java programming language. Jenkins automates the continuous delivery component. Jenkins is experienced in creating pathways for continuous delivery.

To show this, imagine that a Jenkins server takes our application container from the development environment and first makes it available to the testing environment, the QA environment, or any other non-production environment.

The Jenkins server is mandatory for the whole CI/CD workflow. Because it automates the entire process, once a developer makes a change in a piece of code, that code will immediately be available to the testing server or the QA team.

It ensures that all changes are captured before they are released. They may then offer immediate feedback on these modifications. Several companies use Jenkins, including Microsoft, Red Hat, and Rackspace.


Selenium is an open-source testing tool used to automate browser testing. Selenium Test Scripts are developed to use a variety of computer languages. Automated testing, sometimes known as test automation, is a kind of software testing that uses software programs. This automatically runs test cases, compares results, and indicates flaws. This procedure is repeated to provide end-users with high-quality software. Errors are less likely to occur when testing is a component of software development. This DevOps tool is considered a clearing bug on the internet.

Selenium is a leading open-source online application testing framework that supports all major browsers and platforms, including Linux, Windows, and macOS. Selenium’s best feature is that it works with many different computer languages and frameworks for automating test execution, such as Python, C#, Ruby, Java, JavaScript, PHP, PERL, and more.

The Selenium test case includes the following elements:

• The Selenium Integrated Development Environment (IDE) for generating and performing exploratory testing cases and collecting test playbacks

• The Selenium client API enables developers to build test scripts in a variety of computer languages as opposed to the Selenese programming language.

• Selenium WebDriver offers language-specific bindings for developing test scripts.

• Selenium Grid is a proxy server that lets tests run at the same time in different browsers and on different operating systems.

• The Java-based Selenium Remote Control server transmits Selenium instructions to browsers for implementation.


A robust version control system is a vital component of any CI infrastructure. Even though there are other version control technologies on the market today, such as SVN, ClearCase, RTC, and TFS, Git fits in nicely as a popular and distributed version control system for geographically dispersed teams. It is the top devOps tool.

It can do most things related to version control, like check-in, commit, branch, merge, label, push and pull to and from GitHub, etc. It is quite simple to learn and maintain for teams seeking their first version control solution. There are several online resources for learning and mastering Git. A GitHub account is required for a distributed configuration to keep source code and other files to be shared among your teams.

Even though Git is recommended, it is up to the teams and organisations to investigate other version control solutions that fit in very well with their configuration or are recommended by customers in a DevOps pipeline. It strictly follows the devOps methodology.

Git may be downloaded from the git-SCM website for Windows, macOS, and Linux.
Git includes three
storage technologies, including the cloud-hosted code repository services GitHub and GitLab, as well as the source code hosting service BitBucket. GitLab and BitBucket are the only two explicitly built for enterprise-level version management.


Configuration management (CM) is the process of keeping the parts of complex systems in a known, consistent, and well-defined state all the way through the DevOps lifecycle. A system’s components may consist of servers, networks, storage, and applications.

For this reason, configuration management is essential to every system since it is the process of tracking, implementing, and controlling system changes. Moreover, without automation, CM may be time-consuming, resource-intensive, and prone to expensive mistakes. It has configuration tools for administrative tasks like version control, meeting rules, releasing features, and automating processes. It is the deployment tool in DevOps.

The CM automation frameworks Chef, Puppet, and Ansible are convenient. Chef and Puppet are Ruby-based platforms, whereas Ansible is Python-based. Chef, an open-source framework, automates the setup of infrastructure using a master-agent approach and infrastructure as code (IAC) capabilities. Chef is still one of the most popular DevOps tools after Puppet because it works on more than one platform, including the cloud platform.


Technologies that employ Puppet use declarative programming for system setup, deployments, and server administration. Puppet is another open-source software project which runs under devOps methodology. It is compatible with the majority of systems and is arranged into reusable modules for the rapid installation of preconfigured servers. It leverages IAC, employs a master-slave architecture, and has an intuitive user interface for real-time reporting, node management, and other operations, similar to Chef.

Wrapping Words

Software development life cycle automation is essential for DevOps methodology and technology. The DevOps methodology is advancing at a breakneck speed, and new tools are constantly being developed to accommodate those with little or no prior programming experience, in addition to microservices, containerization, and other cutting-edge technological developments.

DevOps usage is increasing at an exponential rate, and so is the need for DevOps capabilities. However, DevOps is more than just a set of honed skills; it is a culture that starts with education. With cooperation as the new standard in IT software development, DevOps has expanded to include an excessive number of technologies, including cloud platforms, to facilitate an efficient and productive software development process.


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