20 Best Automation Tools for DevOps in 2024

DevOps is a technique that merges IT operations with software development teams to establish a process that improves collaboration and production.

Despite numerous definitions of DevOps, a universal agreement is that automation and continuity are crucial parts of DevOps. DevOps solutions are widely available and can help teams adopt automation and continuity most effectively.

DevOps automation tools are used to automate software development processes while also focusing on lifecycle, distribution, and monitoring equipment, among other things. But the question is, which automation tools in DevOps are the best today?

If you want to learn about the best DevOps automation tools, this guide is for you. Below, we’ll explore the 20 best automation tools in 2024, why businesses should invest in these tools, and how to choose one that suits their needs. So, without any further ado, let's get started!

What are Automation Tools in DevOps?

DevOps automation tools are software that facilitates the automation of various stages in the software development and deployment process.

They integrate and streamline processes between software development (Dev) and IT operations (Ops), handling tasks like code integration, testing, deployment, and infrastructure management.

These DevOps tools are central to implementing the DevOps methodology, focusing on continuous delivery and efficient workflow management.

In short, automation tools in DevOps enhance speed, steadiness, correctness, dependency, and delivery rate. DevOps automation covers all aspects from software development and deployment to monitoring.

Must Read: Top 25 DevOps Trends to Watch For in 2024

Why business should use Automation Tools in DevOps?

According to research conducted by Markets and Markets, the market size of DevOps is expected to reach $25.5 billion by 2028 at a CAGR of 19.7% during 2024-2028.

These numbers demonstrate how the increasing popularity of DevOps.  Automation is a critical part of DevOp's success, allowing businesses to rapidly deliver software and services while maintaining control, quality, and reliability.

Here are a few benefits of using automation tools in DevOps:

• Improved accuracy and quality: The automation tool of DevOps helps improve the accuracy and quality of software products as it eliminates manual errors that can occur when tasks are performed manually.
  
• Increased efficiency and productivity: These tools streamline processes, thereby increasing the efficiency and productivity of DevOps teams and processes.
  
• Reduced time to market: Automation tools reduce the marketing time for new products and features, as automated ones can replace manual processes.
  
• Increased scalability: Automation tools assist DevOps in teaming up and scaling quickly and efficiently, as they can quickly add new resources and capabilities as needed.
  
• Cost savings: Automation can lower the costs associated with DevOps teams and processes by eliminating the need to adopt manual practices.
  
• Improved collaboration: These tools help DevOps teams to collaborate more effectively, as they can share resources, processes, and results more quickly.
  
• Improved security: The tools also improve the security of applications and systems by automating the detection and response to security threats.

What are the Best Automation Tools in DevOps?

Now comes our main section, the best automation tools of DevOps. This Automation DevOps tool will give you an overview of the different kinds of tools DevOps offers and their uses.

1. Puppet

The first configuration management DevOps tool is Puppet. This is one of the most used automation tools in DevOps. Puppet is mainly used to automate and centralize the configuration management process.

While using the platform, specify the ideal condition for the infrastructure systems you wish to manage. Writing code in Puppet's Domain-Specific Language (DSL), also known as Puppet Code, works using a wide range of hardware and different operating systems to achieve this.

Puppet code is declarative, so you define the final state of your plans instead of the steps necessary to get there. Putting these systems in that state and maintaining them there is then managed using Puppet.

Puppet accomplishes this via a Puppet agent and a Puppet primary server. The server containing the code that specifies your intended state is the puppet primary server.

2. Docker

The continuous phases of DevOps include software development, integration, unit testing, deployment, and monitoring. Docker is used in the constant deployment step of this DevOps ecosystem, which is essential to the overall process.

Developers control what is inside the container with docker (app, service, and dependencies to frameworks and components) and how the containers and services interact to create an application composed of several services.

3. Bamboo

Continuous integration is carried out using the automation server Bamboo. This DevOps tool, developed by Atlassian in 2007, allows programmers to create automatically, document, integrate, test, and get an app ready for distribution.

It enables developers to use various tools, a simple graphical user interface, and CI/CD approaches.

With Bamboo, organizations can guarantee high quality and status, have complete visibility into the release implementation, and spend the most time producing code.

Moreover, it offers pre-built Git branch workflows, automated merging, powerful build agent management, and built-in deployment support.

4. Jenkins

Jenkins, a DevOps integration tool, is different from other automation tools in DevOps as it is designed for internal use and plugin additions.

The tool is a free and open-source Java-based CI server that may run on Windows, Mac, and different Unix-based OS. Jenkins can also be established on cloud-based platforms. This is an essential tool as it supports CI (Continuous Integration) and CD (Continuous Delivery), two crucial concepts of DevOps.

The roughly 1,500 plugins available to allow integration points for custom functionality during software development make Jenkins compatible with most CI/CD integration tools and services.

Also Read: Why Do You Need Software Development Services?

5. Terraform

Terraform by HashiCorp, an open-source DevOps tool, helps developers construct, maintain, and describe infrastructure using a language that is not only powerful but also understandable to humans.

With declarative programming and Terraform, developers can automate and administer their organization's platform's infrastructure and services, opening up a world of possibilities.

The platform not only offers developers a safe and effective environment to build and modify infrastructure, but it also provides a single, reliable procedure for all clouds, making it the ideal choice for multi-cloud deployments.

6. Ansible

Ansible is a cross-platform, open-source automation tool that DevOps professionals often use to accelerate the delivery of software development using an "infrastructure as code" strategy.

Several build automation tools in DevOp are widely used, and Ansible is one of them. The tool simplifies DevOps by automating the integration of internally developed applications into your production systems.

Ansible is one of the most popular DevOps tools for orchestrating, configuring, automating, and managing IT infrastructure.

7. Chef

Chef is an open-source cloud deployment and configuration management tool. Anyone can use this tool to organize servers, whether they are in a departmental data center or the cloud.

Chef allows DevOps to spin off dozens or hundreds of server instances relatively short time, saving system administrators from having to worry about administration software designed for single, stand-alone servers.

8. Vagrant

A vagrant is a versatile DevOps automation tool that enhances normal development by making it simple to test out DevOps workflow concepts.

You can decouple your software code from your infrastructure without a thorough knowledge of DevOps, infrastructure, servers, or configuration-management devices.

9. Git

Git is used for managing source code. It’s a control system that can efficiently manage small to massive projects.

It is one of the automation tools in DevOps that professionals use to make changes to the source code, allowing many engineers to engage in inconsistent development.

Git is easy to use as it is interoperable with most engagements, including SSH, HTTP, and FTP.

In contrast to most centered version control systems, it offers the best benefit for inconsistent shared-repository development projects. This makes it a good value for mission-critical software.

10. Kubernetes

Kubernetes automates containerized applications management, deployment, scaling, networking, and reliability. The tool divides the compartments that make an application into units for simple sorting and discovery.

With Kubernetes’ broad range of capabilities, building, implementing, and growing enterprise-grade DevOps pipeline is possible.

Software developers can also use it to automate the manual processes related to orchestration. This type of automation would benefit any business wanting to boost performance and productivity.

11. Nagios

Nagios, one of the best automation tools in DevOps, is used to monitor systems, applications, services, and business processes, among other things.

When a failure occurs, the tool can notify technical personnel of the issue, allowing them to start remediation procedures before outages impact the company’s operations, end users, or clients.

Nagios also provides a centralized picture of the complete IT infrastructure under observation. This feature offers detailed status data obtainable via a web interface. Moreover, it allows rapid infrastructure outage identification.

12. QuerySurge

With DevOps tools like QuerySurge, data changes, such as database migrations or comprehensive data warehouse assessments, are guaranteed to function as expected during development and related releases.

QuerySurge analyzes and rapidly identifies up to 100% of all data differences and ensures that the data taken from sources is preserved in the target systems.

13. Buddy

Buddy is a CI and CD tool that uses flexible automation pipelines that can build, test, and deploy software. It can easily be used with other solutions like Google, Azure, AWS, and more.

As a DevOps automation platform with minimal friction, this tool is ideal for designers, developers, and QA teams and makes working with DevOps easy.

Buddy also helps monitor the health, performance, and status of other mobile applications & services with repeatedly triggered pipelines.

14. Gradle

Gradle is an automation tool for building that supports multi-language development. It’s an easy DevOps tool for those who want to develop, test, and deploy software across several platforms.

The platform offers a versatile build architecture that may help developers at every stage of the development process, from code generation and packaging to online publication of the finished product.

15. Raygun

When it comes to DevOps testing tools, Raygun, with increased accuracy and speed helps the development team in finding and recreating the problems that affect end users.

By identifying these issues, Raygun assists organizations in losing after their consumers and stopping further software issues.

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16. PagerDuty

With DevOps and service ownership, engineers undeniably have more responsibility and ownership. PaperDuty keeps developers linked to their code as it runs in the real world.

In short, the platform identifies issues and opportunities in real time and brings together the right people to respond to problems faster and prevent them in the future.

17. Ganglia

Ganglia is a scalable, distributed monitoring DevOps tool for high-performance computing systems, clusters, and networks.

The solution is used to view either live or recorded statistics covering metrics such as CPU load averages or network utilization for many nodes.

Ganglia is based on a hierarchical design targeted at federations of clusters. It relies on a multicast-based listen/announce protocol to track the state within clusters.

It utilizes a tree of point-to-point connections amongst representative cluster nodes to federate clusters and aggregate their state.

18. OverOps

OverOps is one of the most used Automation tools in DevOps, it alerts the app development team of a server crash and provides the root cause of a fault.

It quickly pinpoints when and why code malfunctions in actual use. Its main task is to send the source code when production code breaks are found.

19. Splunk

Real-time DevOps monitoring can enhance the delivery of applications. With DevOps tools like Splunk, you can deliver better apps faster with more business impact.

Splunk provides real-time insights across all phases of the delivery life cycle instead of competing solutions focusing on single-release components.

20. Snort

Snort is a DevOps security tool. It’s an open-source intrusion prevention software that logs packets and analyzes traffic in real time.

It’s also one of the most extensively used intrusion prevention systems in the world. Snort counts more than 500,000 registered members and more than 5 million downloads.

How to choose the right Automation Tools in DevOps?

Other than the above-mentioned 20 best automation tools in DevOps in 2024, there are many other DevOps-built automation tools available.

So, how will you choose the right one for you? Here are some key considerations to compare and choose the ideal DevOps automation platforms.

1. Functionality Alignment

Does the tool offer the specific functionalities required for your DevOps pipeline? Consider features like continuous integration (CI), continuous delivery/deployment (CD), infrastructure provisioning, configuration management, and automated testing.

2. Team Expertise and Integration

Can your team with their existing skillsets easily learn and use the tool?

Consider a tool that your team can easily learn as well as integrate seamlessly with your existing technology stack, including code repositories, CI/CD tools, and monitoring platforms.

3. Scalability and Cost-Effectiveness

Can the tool scale to accommodate your project's growth and complexity as your needs evolve? Does the pricing model fit your budget and consider factors like team size and usage patterns?

4. Security and Compliance

Last but one of the most important things you need to consider is choosing a DevOps tool that offers robust security features to protect sensitive data throughout the DevOps pipeline. Also, ensure that the tool complies with relevant industry regulations and security standards.

By focusing on these considerations, you can prioritize automation Tools in DevOps that directly impact your workflow efficiency and align with your specific project requirements.

Conclusion

Each automation tool mentioned above has its unique features and functionality. When choosing the correct automation tools in DevOps for your business, ensure you understand what you need and what the tool offers.

If you still find yourself with questions, feel free to Contact Arramton Infotech, our team of DevOps will help you find a DevOps automation tool that suits your needs.

Frequently Asked Questions

Q. Does DevOps do automation?

Ans. Yes, automation is a core principle of DevOps. It streamlines the software development process by automating tasks like building, testing, and deploying applications. This frees up developers to focus on innovation.

Q. Which is a popular DevOps tool?

Ans. There are many popular DevOps tools exist, each with its strengths. Some common ones include Git, Docker, Kubernetes, Ansible, Jenkins, and Gradle.

Q. Which tool automates server configuration?

Ans. Ansible is a popular DevOps tool used for automating server configuration. It uses a simple language to define the desired server state and automatically executes steps to achieve it.

Q. How do I automate testing in DevOps?

Ans. You can automate testing in DevOps with continuous integration (CI) tools like Jenkins. They trigger tests whenever new code is committed, allowing early bug detection and improved software quality.