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Top 7 Continuous Integration and Continuous Delivery Tools for 2025


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Continuous Integration and Continuous Delivery (CI/CD) are essential for modern software and machine learning workflows, helping teams deliver high-quality products faster and more reliably. CI/CD automates repetitive tasks, speeds up feedback, ensures quality with automated testing, improves collaboration, and scales to any project size.
In this guide, we will highlight the top 7 CI/CD tools for 2025, perfect for startups seeking rapid releases or enterprises needing robust automation.
# Top CI/CD Tools
// 1. GitHub Actions: Native CI/CD for GitHub Repositories
GitHub Actions is a feature-rich CI/CD platform built directly into GitHub. It is a popular tool that allows developers to automate, customize, and execute software development workflows directly from their GitHub repositories. I use it frequently for my machine learning workflow, including training, evaluation, and deployment of machine learning services. It is easy to learn and comes with a vast collection of community-based workflow extensions.
Learn more: https://github.com/features/actions
// 2. GitLab CI/CD: Integrated DevOps Automation
GitLab CI/CD is similar to GitHub Actions but offers additional features and security solutions. It provides robust continuous integration, deployment, and delivery capabilities. It is ideal for teams seeking an all-in-one DevOps solution with strong collaboration features and detailed feedback on pipeline maturity.
Learn more: https://about.gitlab.com/stages-devops-lifecycle/continuous-integration/
// 3. CircleCI: Fast, Scalable Cloud-Native Pipelines
CircleCI is known for its speed, scalability, and flexibility. It supports both cloud and on-premises deployments, integrates with popular version control systems, and offers advanced features like matrix builds, SSH debugging, and reusable configuration packages called Orbs. Many enterprise customers prefer CircleCI over GitHub Actions.
Learn more: https://circleci.com/
// 4. Jenkins: The Open-Source Automation Powerhouse
Jenkins is one of the oldest and most powerful open-source CI/CD tools. I have used it on Windows, and it is fast and highly extensible, with a vast plugin ecosystem.
Jenkins supports building, testing, and deploying across virtually any environment. Its pipeline-as-code approach and distributed build capabilities make it suitable for complex, customizable workflows. If you are building and deploying applications in a local environment, Jenkins is an excellent automation tool.
Learn more: https://www.jenkins.io/
// 5. Travis CI: Cloud-Based Simplicity for Open Source Projects
Travis CI is a cloud-based CI/CD service popular among open-source projects, allowing you to easily obtain open-source build credits by filling out a form. It automatically detects new commits in GitHub repositories, builds the project, and runs tests. Travis CI supports a wide range of programming languages and deployment targets, making it a straightforward choice for teams looking for easy setup and integration with GitHub.
Learn more: https://travis-ci.com/
// 6. TeamCity: Robust Build Management by JetBrains
If you are already using the JetBrains ecosystem, why not take advantage of their automation tool, TeamCity? It offers a comprehensive platform for reliable and efficient software builds, tests, and deployments. TeamCity features sophisticated build pipelines, parallel and dependent builds, and detailed feedback on code quality.
Learn more: https://www.jetbrains.com/teamcity/
// 7. Azure Pipelines: Enterprise-Grade CI/CD from Microsoft
For Microsoft cloud users, Azure Pipelines delivers powerful CI/CD automation for any language, platform, or cloud. It supports YAML-based pipeline definitions, parallel jobs, and deep integration with Azure services. Azure Pipelines is ideal for organizations already invested in the Microsoft ecosystem.
Learn more: https://azure.microsoft.com/en-us/services/devops/pipelines/
Conclusion
CI/CD tools are essential for automating the software development lifecycle, ensuring that code is thoroughly tested, built, and deployed efficiently before reaching production. By streamlining repetitive tasks and reducing manual intervention, these tools help teams scale their projects, improve code quality, and accelerate delivery.
In this article, we explored some of the top CI/CD tools that form the backbone of modern software development. Each tool offers unique features and strengths, making it important to choose the one that best fits your team’s specific needs and workflow.
Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master’s degree in technology management and a bachelor’s degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.
Jobs & Careers
‘Reliance Intelligence’ is Here, In Partnership with Google and Meta

Reliance Industries chairman Mukesh Ambani has announced the launch of Reliance Intelligence, a new wholly owned subsidiary focused on artificial intelligence, marking what he described as the company’s “next transformation into a deep-tech enterprise.”
Addressing shareholders, Ambani said Reliance Intelligence had been conceived with four core missions—building gigawatt-scale AI-ready data centres powered by green energy, forging global partnerships to strengthen India’s AI ecosystem, delivering AI services for consumers and SMEs in critical sectors such as education, healthcare, and agriculture, and creating a home for world-class AI talent.
Work has already begun on gigawatt-scale AI data centres in Jamnagar, Ambani said, adding that they would be rolled out in phases in line with India’s growing needs.
These facilities, powered by Reliance’s new energy ecosystem, will be purpose-built for AI training and inference at a national scale.
Ambani also announced a “deeper, holistic partnership” with Google, aimed at accelerating AI adoption across Reliance businesses.
“We are marrying Reliance’s proven capability to build world-class assets and execute at India scale with Google’s leading cloud and AI technologies,” Ambani said.
Google CEO Sundar Pichai, in a recorded message, said the two companies would set up a new cloud region in Jamnagar dedicated to Reliance.
“It will bring world-class AI and compute from Google Cloud, powered by clean energy from Reliance and connected by Jio’s advanced network,” Pichai said.
He added that Google Cloud would remain Reliance’s largest public cloud partner, supporting mission-critical workloads and co-developing advanced AI initiatives.
Ambani further unveiled a new AI-focused joint venture with Meta.
He said the venture would combine Reliance’s domain expertise across industries with Meta’s open-source AI models and tools to deliver “sovereign, enterprise-ready AI for India.”
Meta founder and CEO Mark Zuckerberg, in his remarks, said the partnership is aimed to bring open-source AI to Indian businesses at scale.
“With Reliance’s reach and scale, we can bring this to every corner of India. This venture will become a model for how AI, and one day superintelligence, can be delivered,” Zuckerberg said.
Ambani also highlighted Reliance’s investments in AI-powered robotics, particularly humanoid robotics, which he said could transform manufacturing, supply chains and healthcare.
“Intelligent automation will create new industries, new jobs and new opportunities for India’s youth,” he told shareholders.
Calling AI an opportunity “as large, if not larger” than Reliance’s digital services push a decade ago, Ambani said Reliance Intelligence would work to deliver “AI everywhere and for every Indian.”
“We are building for the next decade with confidence and ambition,” he said, underscoring that the company’s partnerships, green infrastructure and India-first governance approach would be central to this strategy.
The post ‘Reliance Intelligence’ is Here, In Partnership with Google and Meta appeared first on Analytics India Magazine.
Jobs & Careers
Cognizant, Workfabric AI to Train 1,000 Context Engineers

Cognizant has announced that it would deploy 1,000 context engineers over the next year to industrialise agentic AI across enterprises.
According to an official release, the company claimed that the move marks a “pivotal investment” in the emerging discipline of context engineering.
As part of this initiative, Cognizant said it is partnering with Workfabric AI, the company building the context engine for enterprise AI.
Cognizant’s context engineers will be powered by Workfabric AI’s ContextFabric platform, the statement said, adding that the platform transforms the organisational DNA of enterprises, how their teams work, including their workflows, data, rules, and processes, into actionable context for AI agents.Context engineering is essential to enabling AI a
Jobs & Careers
Mastercard, Infosys Join Hands to Enhance Cross-Border Payments

Infosys has announced a partnership with Mastercard to make cross-border payments faster and easier for banks and financial institutions.
The collaboration will give institutions quick access to Mastercard Move, the company’s suite of money transfer services that works across 200 countries and over 150 currencies, reaching more than 95% of the world’s banked population.
Sajit Vijayakumar, CEO of Infosys Finacle, said, “At Infosys Finacle, we are committed to inspiring better banking by helping customers save, pay, borrow and invest better. This engagement with Mastercard Move brings together the agility of our composable banking platform with Mastercard’s unmatched global money movement capabilities—empowering banks to deliver fast and secure cross-border experiences for every customer segment.”
Integration will be powered by Infosys Finacle, helping banks connect with Mastercard’s system in less time and with fewer resources than traditional methods.
Pratik Khowala, EVP and global head of transfer solutions at Mastercard, said, “Through Mastercard Move’s cutting-edge solutions, we empower individuals and organisations to move money quickly and securely across borders.”
The tie-up also comes at a time when global remittances are on the rise. Meanwhile, Anouska Ladds, executive VP of commercial and new payment flows, Asia Pacific at Mastercard, noted, “Global remittances continue to grow, driven by migration, digitalisation and economic development, especially across Asia, which accounted for nearly half of global inflows in 2024.”
He further said that to meet this demand, Mastercard invests in smart money movement solutions within Mastercard Move while expanding its network of collaborators, such as Infosys, to bring the benefits to a more diverse set of users.
Infosys said the partnership will help banks meet growing consumer demand for faster and safer payments.
Dennis Gada, EVP and global head of banking and financial services at Infosys, said, “Financial institutions are prioritising advancements in digital payment systems. Consumers gravitate toward institutions that offer fast, secure and seamless transaction experiences. Our collaboration with Mastercard to enable near real-time, cross-border payments is designed to significantly improve the financial experiences of everyday customers.”
The post Mastercard, Infosys Join Hands to Enhance Cross-Border Payments appeared first on Analytics India Magazine.
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