Top 10 Trending DevOps Tools in 2024

Top 10 Trending DevOps Tools in 2024

4 mins read9.6K Views Comment
Updated on Dec 5, 2023 17:53 IST

DevOps is a cultural shift or a practice that brings together development and operations teams with the goal of converting SDLC into a strategic resource for any company. To achieve this goal, it is important to choose the right tools. With the advancement of technology, numerous DevOps tools have been developed to improve collaboration and development. And when it comes to choosing the right DevOps tools, the decision is not easy. To help you improve your DevOps strategy, we have curated a list of the top 10 DevOps tools along with their top features, which you should use in 2024.



Top 10 DevOps Tools for 2024

10. Splunk 

9. Jenkins 

8. Selenium

7. Puppet 

6. Chef 

5. Git

4. Ansible 

3. Docker

2. Nagios

1. Kubernetes (K8s)

Check Out the Best Online Courses

Top 10 DevOps Tools for 2024

If you are new to DevOps or planning to enhance your current processes, this guide will help you to know which tool is best for your team. Here are some of our favorite DevOps tools with all the information you need to enable you to choose the right tool that fits your needs.




Explore Popular DevOps Courses

10. Splunk 




Splunk is monitoring and exploring software that provides operational intelligence to DevOps teams by sharing real-time insights during all phases of the delivery lifecycle. It improves quality and enables companies to be more productive, secure, and competitive

Popularity of Splunk on Google Trends




Key Features of Splunk

  • Data drives analytics and insights
  • Faster releases 
  • Monitoring and troubleshooting solutions
  • Provides a single view of different IT services
  • Splunk Observability Cloud for exceptional user experiences               

Companies Using Splunk




9. Jenkins 


Jenkins is an open-source DevOps tool for continuous integration of software projects. Written in Java, this tool allows developers to build and test their software projects continuously and makes it easier for developers to integrate changes to the project.

Popularity of Jenkins on Google Trends




Key Features of Jenkins

  • Easy installation & configuration 
  • 1000+ plugins to support building and testing projects  
  • Increases the scale of automation
  • Can distribute tasks across multiple machines to increase concurrency

Companies Using Jenkins 




8. Selenium 




Selenium is an open-source tool that is used for automating tests carried out on web browsers. Programmers can use multiple programming languages to create Selenium Test Scripts.

Popularity of Selenium on Google Trends




Key Features of Selenium

  • Multi-Browser Compatibility
  • Dynamic handling of web elements 
  • Supports multiple browsers, operating systems, and programming languages
  • Supports parallel test execution 

Companies Using Selenium




Explore Popular Selenium Courses

7. Puppet 




It is a system management tool that enables developers to centralize and automate the configuration management procedure.

Popularity of Puppet on Google Trends




Key Features of Puppet

  • Scalable 
  • Idempotency
  • Cross-platform  

Companies Using Puppet




6. Chef  




It is an automation tool that enables developers to define infrastructure as code (IAC).

Popularity of Chef on Google Trends




Key Features of Chef

  • Centralized management
  • Integrates with major cloud service providers 
  • Supports large deployments 

Companies Using Chef 




5. Git




Git is a free and open-source version control system used for source code management. 

Popularity of Git on Google Trends




Key Features of Git

  • Distributed development 
  • Branching 
  • Non-linear Development
  • Scalable
  • Lightweight
  • Secure 

Companies Using Git




4. Ansible 




Ansible is an automation engine used for various IT tasks such as configuration management, application deployment, provisioning, and orchestration.

Popularity of Ansible on Google Trends




 Key Features of Ansible

  • Eliminates complexity in the software development process
  • Provides simple IT automation to end repetitive tasks 
  • Manages complex deployments 
  • Speeds up the development process 

Companies Using Ansible




3. Docker




Docker is a software platform that enables developers to build, test, and deploy containerized applications. 

Popularity of Docker on Google Trends




Key Features of Docker

  • Easy configuration
  • Easily scalable 
  • Increase productivity
  • Application isolation
  • Security management 

Companies Using Docker




Check out the Best Docker Courses 

2. Nagios




Nagios is an open-source continuous monitoring tool that is used for monitoring networks, applications, and servers.

Popularity of Nagios on Google Trends




Key Features of Nagios

  • Extendable architecture
  • Advanced user management 
  • Capacity planning
  • Consolidated view of the monitored IT infrastructure 

Companies Using Nagios




1. Kubernetes (K8s)




Kubernetes (K8s) is a portable and extensible software platform that is used for automating deployment, scaling, and management of containerized applications. 

Popularity of Kubernetes on Google Trends




Key Features of Kubernetes

  • Automated scheduling
  • Self-healing 
  • Load balancing
  • Storage orchestration
  • Horizontal Scaling  

Companies Using Kubernetes




Explore the Best Kubernetes Courses 


In this blog, we pulled together a list of the best DevOps tools that can help teams continuously improve their work in every phase of software development. Depending on your business goals, you can perform the same task with different types of tools and you can use more than one DevOps tool in your DevOps strategy. We hope this blog on the top 10 DevOps tools will help you make an informed decision on which tools should be part of your stack. 

Explore More: 


If you have recently completed a professional course/certification, click here to submit a review.

About the Author

This is a collection of insightful articles from domain experts in the fields of Cloud Computing, DevOps, AWS, Data Science, Machine Learning, AI, and Natural Language Processing. The range of topics caters to upski... Read Full Bio