Top 10 Open Source DevOps Tools we Use @Softobiz

11 min read

In previous blogs, we learned why organizations need DevOps and how they can use the development approach to unlock high performance. These two blogs give you enough theoretical knowledge and reasons to implement DevOps in your team.
However, if you’ve decided to implement DevOps practically, you’ll need more than just reasons and theory.
You’ll need a list of DevOps tools which most IT companies are using at present.

Let’s begin with 10 tools that Softobiz is using for DevOps:

1. Jenkins


Jenkins is one of the most common DevOps automation tools used by the software companies these days. It helps you easily automate different stages of your delivery pipeline and ensures that all the software builds get delivered on time. The tool is used for Continuous Integration /Continuous Deployment (CI/CD).

Features of Jenkins

  • Free and open-source.
  • Offers support for build pipelines.
  • Easily scalable with third-party plugins.
  • Built-in support for Git and GitHub branches.

2. Selenium


Selenium is a portable software testing framework for web apps. It provides a playback for authoring functional tests and a domain-domain specific language to write tests in a variety of programming languages. Once created, these tests can run on most modern web browsers. The software supports Windows, Linux, and MacOS.

Features of Selenium

  • Free and open-source tool.
  • Let’s you create strong, browser-based regression automation suites and tests.
  • You can write test scripts in multiple languages like Python, Java, C#, Ruby, and JavaScript.
  • Multi-platform support for testing.

3. Ansible


Ansible is an open source software used for the automation of software provisioning, configuration management, application deployment, etc. The tool is used where there are big servers and managing each system separately is impossible. You can connect Ansible via SSH, remote PowerShell, or other remote APIs.

Ansible Features

  • An open source configuration management tool based on the master-slave architecture.
  • Supports push configuration system.
  • Uses simple syntax written in YAML.
  • Secure and lightweight solution for configuration management automation.


4. Docker


Docker is a useful tool for operating-system-level virtualization known as containerization. For those who don’t know what containerization is, it’s a process of creating multiple virtual machines without having to divide its resources. This results in faster speed and better performance. The utility is mainly used to simplify complex deployment processes and effectively package, ship, and deliver your app.

Docker Features

  • You can use Docker container with any language.
  • You can ship the container wherever you want or even save it on the cloud.
  • Easily scalable.
  • Zero downtime during updating.


5. Git


Git is a version control system. Using the tool, you can easily keep track of the changes you make in your code.Using Git, you can access both the older and newer versions of the code from the code repositories. This leads to better coordination among teams and more productivity.

GIT Features

  • Free and open-source.
  • Features branch workflow.
  • Allows distributed development.
  • Allows faster release of builds.


6. Bitbucket Pipeline


To understand Bitbucket Pipeline, we must know Bitbucket first, which is a web-based version control repository hosting service from Atlassian. Bitbucket Pipeline is an integrated CI/CD (Continuous Integration/Continuous Deployment) service built into Bitbucket. Using it, you can automatically build, test, and deploy your code.

Bitbucket Pipeline Features

  • Easy to set up and configure.
  • Supports all types of platforms.
  • Easily get build status on your team’s chat room.
  • See versions of all the software running at different platforms at one place.
  • Extend your workflow.

7. Splunk


Splunk is an efficient DevOps tool for searching, analyzing, and visualizing the data generated by machines, websites, apps, sensors, or devices. The software records, indexes, and co-relates data in a searchable database and then generates graphs, reports, alerts, and visualizations on that basis. It is used to create knowledge objects for operational intelligence.

Splunk Features

  • Lets you easily store, search, and visualize the machine generated data.
  • You can store data in multiple file formats.
  • Helps you monitor important business metrics for important insights.

8. ELKStack


ELKStack is the combination of three powerful opensource tools: Elasticsearch, Logstash, and Kibana. The tool is used by IT companies to get insights into your logs or data. You can also use it for business intelligence, security, and web analytics. One of the biggest reasons behind the popularity of this tool is that it’s lightweight, easy to deploy, and can work with multiple plugins.

ELKStack Features

  • Open-source.
  • Have plenty of plugins.
  • Lightweight and easy to deploy.
  • Real-time search.
  • Active discussion forum.

9. Apache JMeter


Apache JMeter is used as a load testing tool for analyzing and measuring the performance of a variety of services. You can also use it for monitoring and functional testing purposes. The tool supports a variety of processes like variable parameterization, response validation, configuration variables, per-thread cookies, etc.

Apache JMeter Features

  • Freely available.
  • Simple and intuitive GUI.
  • The tool can conduct a load and performance test for many servers.
  • Platform-independent tool.


10. Azure DevOps


Azure provides you with robust east to integrate open source and third-party tools and services throughout the DevOps workflow lifecycle. You can deliver high quality software faster without spending much time integrating. You can even use your favorite tools to directly deploy to Azure infrastructure. No matter what language, platform,and cloud you opt for, you can easily build, test, and deploy with CI/CD.

Azure Features

  • Build, deploy, test in any language.
  • Manage Azure infrastructure using third party apps.
  • Add artifacts to your CI pipeline.
  • Get cloud-hosted private Git repos.

Which of these DevOps tools are right for you and your team?

The answer to this question is experimentation. Without using, you can’t decide which one of these tools is right for you and which is not. So, go ahead and give them a try. Eventually, you’ll figure out what works best for you.

Good luck!


To know about our DevOps process in detail:

Written By

Karan Thakur

Dev Ops Engineer
View All Posts

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