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DevOps combines better communications, shared responsibility, and closer collaboration between the software development team and the IT operations department for the products they create and maintain. This approach also helps enterprises align their tools and processes toward a customer-focused focus. The primary goal of DevOps is to reduce the time in the system development life cycle and deliver continuous, high-quality software.
The ‘2022 Survey Report: The State of the Mainframe’ by Rocket Software stated that 44% of users said their company operates multiple tools for DevOps functionality on mainframe applications. 24% of respondents have an exhaustive platform for mainframe DevOps.
Many automation tools in DevOps are enhanced as technology advances, making development and collaboration easier. To simplify the selection, the Veritis team has picked the top 10 DevOps tools to reach a successful DevOps transformation.
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Top 10 DevOps Tools You Must Use in 2025
Let’s dig deep into DevOps tools and their types, which play a pivotal role in their implementation.
‘DevOps tools’ is an umbrella term that includes servers, tools, platforms, and other applications used in the software development life cycle (SLDC) model. Operating automation tools in devops can reduce the time in SLDC, deliver high-quality applications, and print regularly. It mainly focuses on software development, product management, and collaboration.
DevOps tools help enterprises resolve some of the immediate challenges they face when implementing DevOps practices. However, no vendor can perform all the tasks needed to support a DevOps implementation. There are numerous DevOps tools to meet every specific DevOps requirement.
1) K8s or Kubernetes
K8s (or) Kubernetes is an open-source orchestration platform introduced by Google engineers Craig McLuckie, Joe Beda, and Brendan Burns in 2014. It automates the deployment, scaling, and management of containerized applications. Kubernetes with Docker will effectively guide your containerized apps into logical units.
Features
- Kubernetes runs on public clouds, on-premises, and in hybrid environments.
- It provides its IP address and a single DNS name for load balancing and Service Delivery.
- Kubernetes automatically mounts the local, public cloud provider, or network storage system.
- Kubernetes has a self-healing capacity.
- It mainly works on the master-slave concept.
2) Docker
Sebastien Pahl, Kamel Founadi, and Solomon Hykes coined Docker in 2011. It is a lightweight DevOps tool that accelerates and eases the SLDC through a combined methodology.
With the Docker engine, you can access containers that can execute apps remotely. The Docker platform also enables companies to exchange container images, develop applications, and collaborate with users to build programs for components.
Features
- It offers a consistent and isolated environment for running applications in containers that is cost-efficient.
- The Docker app allows you to execute, package, and manage distributed applications.
- Docker Hub offers billions of images from verified publishers and communities, making it the world’s largest container image library.
- It is compatible with cloud services such as Amazon AWS, Microsoft Azure, and Google GCP.
3) Nagios
Nagios is one of the most powerful DevOps automation tools for monitoring. It monitors infrastructure components, ranging from operating systems to network protocols, to identify and resolve problems before they affect business processes. It provides alerting services for applications, switches, and servers. Nagios also alerts technical staff when potential threats are identified
Features
- It allows for complete monitoring of Windows, Linux, and Unix operating systems (OS).
- It automatically solves many problems and provides a simple log search for data.
- Nagios thoroughly monitors the Java Management Extensions.
- Nagios is a watchdog for network traffic and available bandwidth, helping to optimize usage.
4) Slack
Slack is a widely used communication and collaboration tool for DevOps, used by most companies. It is an instant messaging app that allows people to communicate in a new way and gather information. It is designed to replace emails with faster, more secure, and better-organized alternatives. The Slack tool has two chat methods: direct messages (DMs, or person–to–person chat) and channels (group chats).
Features
- Direct messages (person-to-person chats) allow users to send private messages to a specific user instead of sending them to a group of people.
- It collaborates and communicates the conversation effectively through direct chat, voice, shared channels, and video conferencing.
- Slack makes remote work more manageable, and it is a project-friendly structure.
- Slack offers the feature of automated reminders, allowing you to set reminder notifications on any message from any channel.
5) Jenkins
Jenkins is a Java-based, open-source automation CI/CD server that supports various operating systems, including macOS, Windows, and Linux. It gained massive popularity due to a large pool of plugins (1,800 plugins) available in the Jenkins ecosystem. It is relatively popular because it integrates almost all DevOps tools, including Octopus Deploy, Puppet, Docker, and more.
Features
- For easy updates, Jenkins can have multiple built-in interfaces like GUI, API, and CLI.
- It is free to use and efficiently distributes work across various machines for tests, deployment, and faster builds.
- It can be easily integrated with multiple cloud vendors, such as Amazon EC2, DigitalOcean, and Google Cloud, among others.
Useful link: DevOps outsourcing: Things to Know About Before Getting Started
6) Git
Linus Torvalds coined the term “Git” in 2005, and it is currently the most popular DevOps tool worldwide. Git is an open-source distributed version control system that meticulously tracks changes in source code during software development. Its other features make productivity efficient and accurate.
Features
- The Git DevOps tool is easy to implement and compatible with HTTP, SSH, and FTP protocols.
- It can track the changes in any set of files.
- It directly integrates with IDEs like IntelliJ, VS Code, and Eclipse.
7) Puppet
It is a software configuration management and deployment tool that allows users to manage the infrastructure as code. As one of the key DevOps deployment tools, it supports both Windows and Linux operating systems to control multiple application servers simultaneously. Puppet can also be used on Mac OS servers, IBM mainframes, and Cisco switches across multiple platforms.
Features
- Puppet guides companies in managing, modernizing, and automating hybrid infrastructure.
- It manages the database system and web servers.
- It offers a wide range of well-developed wiki pages with detailed documentation.
8) Chef
Chef is an automation tool for configuration that is applied everywhere. It helps automate infrastructure provisioning and eliminates complex, lengthy scripts of code that can significantly hinder progress in the long run.
Features
- Users can manage and deploy software applications across their company’s devices with just a few clicks.
- Chef supports various platforms like FreeBSD, AIX, and RHEL/CentOS.
- Facebook users operate the Chef tool to manage thousands of servers.
9) Ansible
Ansible is the most preferred DevOps tool for IT-related tasks such as application deployment, intra-service orchestration, provisioning, and configuration management. It is a simple yet powerful tool that can automate a complex multi-tier IT infrastructure.
Features
- Ansible uses a simple syntax known as playbooks, written in YAML format (a human-readable data serialization language).
- It is entirely agentless, as the user doesn’t need to install any agent or software on the client system.
- It reduces deployment time and shadows IT.
Useful Link: Chef Vs Puppet Vs Ansible – Comparison of DevOps Tools
10) Splunk
It is a software platform used to gather data from multiple machines, such as sensors, devices, websites, and applications, and convert it into valuable information. It offers real-time insights across production monitoring stages, testing, and app development of the application delivery life cycle.
Features
- Splunk allows users to build real-time data applications.
- It acts as a watchdog for business metrics, gathering log insights.
- Splunk Enterprise helps users analyze, aggregate, and find solutions in their machine data.
Case Study: Agile DevOps Transformation for a Data Analytics Company
A leading data analytics firm aiming to scale its delivery pipeline and improve operational resilience partnered with Veritis to implement a DevOps solution that could support continuous innovation while optimizing cloud resources.
Challenge:
The client’s manual deployment workflows and fragmented infrastructure limited their ability to deliver analytics solutions efficiently. They faced frequent service interruptions, lacked real-time monitoring, and incurred high cloud costs due to overprovisioning of resources.
Veritis’ Solution:
Veritis developed a comprehensive and tailored DevOps transformation roadmap that included CI/CD pipeline automation, cloud infrastructure optimization, and robust monitoring capabilities. Jenkins and Azure DevOps were implemented for seamless builds and deployments, while Prometheus and Grafana enabled real-time performance tracking. The architecture was built to scale and adapt to fluctuating workloads.
Impact:
- 60% faster application deployments
- Improved system reliability with 99.9% uptime
- 12–20% reduction in cloud infrastructure costs
- Future-ready DevOps pipeline supporting scalable growth
For a complete look into how Veritis enabled this transformation, read the full case study: DevOps Solutions for Data Analytics Industry.
Conclusion
In the current era, companies seek automated processes in continuous testing and CI/CD areas to facilitate their DevOps adaption. Moreover, they are looking for a shorter recovery cycle time after crashes, offering high-quality software, swift feedback, and fewer defects with improved consistency.
When it comes to picking the best tools for any firm, there are certain things to consider that can help your business: automation, faster recovery time, CI/CD, real-time monitoring, and more.
Before choosing the best DevOps tools for your business, assess your project requirements, analyze the tools available on the market, test them in your working environment, and select the right tools for your business.
However, these things are easier said than done, especially in a world where time is valuable. That is where Veritis, a leading DevOps consulting company, can help you.
Veritis is one of the world’s leading organizations, offering cutting-edge services and a wide range of technology solutions for competitive differentiation. Veritis understands its customers’ needs aptly and offers the best DevOps tools for your enterprise with a cost-effective solution.
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