What are the essential DevOps Tools you must know in 2024?

Every stage of the project lifecycle makes use of a variety of DevOps technologies to consistently implement the entire project with the highest standards. 

A recent advancement in the software development life cycle is called DevOps, which guarantees continuous software implementation using the appropriate tools. 

To create applications that meet your goals, it's important to promote a culture of continuous development and concentrate on core ideas and best practices. Today, we will explore the essential DevOps Tools that will be effective in 2024.

DevOps: What is it? 

Its name, which comes from the terms development and operations, describes the ideal way to manage the software lifecycle. In this method, the development and operations teams collaborate to improve software delivery through the application of agile methodology. This method produces cutting-edge management in addition to the instruments and technology needed for improved software delivery. 

For all types of businesses, DevOps is the newest big thing in the industry today. With the aid of some of the most excellent DevOps tools and methods, companies may now concentrate on providing software more quickly.

Following are different tools you must know:

1. Docker

Docker is a Linux-based open-source platform. Apps may be made more portable, secure, and less prone to conflicts during testing by using containerized environments, which are created by a collection of DevOps automation tools called Docker. Docker allows DevOps to develop and run programs rapidly and efficiently. Operating systems and platforms don't affect Docker apps. 

2. Kubernetes

DevOps teams thoroughly value this tool for container orchestration and automation. It maintains containers widely and integrates with Docker efficiently. Kubernetes handles hundreds of containers by automating scheduling and distribution across a cluster. Containerized software may be deployed to clusters instead of individual workstations.

3. Bamboo

Bamboo is a CI tool made by Atlassian. It promotes "integrations that matter" and provides a package for small teams that includes a charitable gift. Bamboo has prebuilt capabilities comparable to Jenkins', making it easier to manage fewer plugins. The UI is very intuitive and more time-efficient than open-source alternatives.

4. Raygun

A tool for application performance monitoring, or APM, Raygun provides excellent tracking and accident reporting and is the finest in its area. Raygun helps DevOps identify performance problems by highlighting the problematic line in a function, API request, or piece of source code.

5. GitHub

GitHub has been one of the most excellent DevOps automation tools for developer collaboration since 2000. Developers are able to immediately iterate on existing code and roll it back quickly in the case of an error or unforeseen consequence, all while promptly notifying other team members.

6. Chef

An open-source software called Chef is used to manage and automate cloud configuration and infrastructure.  It creates essential building elements like recipes and cookbooks using the Ruby programming language. Engineers may automate several tedious tasks involved in setting and administering multiple systems by turning infrastructure into code using Chef. 

7. Puppet 

Puppet is a reliable solution for delivering infrastructure and is widely used in the IT automation business. It may help teams with configuration management, automation, and compliance initiatives. It can also be used with hybrid infrastructure settings.

8. Salt 

With a large and vibrant open-source community, Salt is an excellent solution for automation and infrastructure management. It may help teams with data-driven orchestration, configuration management, and removal of execution in any environment or infrastructure.

9. Jenkins

Jenkins is one of the most well-liked and extensively used testing programs. It is adept at dividing up work among several computers to accomplish repetition. The nicest thing about this program is it’s very easy web-based interface and it’s over 400 supported plugins, which may meet all the demands of your project.

10. AWS Systems Manager

Engineers can see, control, and automate operations management, change management, node management, application administration, and shared resource control on the AWS cloud architecture with AWS Systems Manager, formerly known as Amazon EC2 Simple System Manager (SSM). To enable DevOps workers to carry out automated actions across many AWS resources, it offers access to operational data from numerous AWS services.

11. Selenium

Selenium is a popular open-source software testing platform among testers because it can automate tests and provide multiplatform testing for iOS and Android. Its best aspect is that it can be integrated with other development tools, allowing you to handle all other duties from a single dashboard. 

12. Appium 

An open-source program called Appium automates hybrid, mobile web, and native applications. Native applications are made with the help of Windows, iOS, and Android SDKs. Mobile web apps are those that are accessible through a mobile device. In addition, Appium works with Chrome, Safari, and Android's built-in Browser app.

13. Librato

With Librato, customers may plan and evaluate their ongoing projects and activities by understanding business data and monitoring all of their work in real time. Its clear and straightforward user interface, together with its visualization capabilities, make it one of the most excellent DevOps monitoring tools available today.

14. Prometheus

It is an open-source, community-driven solution that provides a web API for customer development and is used for task monitoring. Prometheus was created in Golang and provides an easy method to integrate with PagerDuty by gathering and organizing data symmetrically.

Conclusion

Gaining proficiency with these DevOps technologies is crucial for both operations teams and developers, as the need for DevOps knowledge is growing. By adopting and assimilating these technologies into their processes, enterprises may increase productivity, cooperation, and prosperity in their software development undertakings.