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Enabling External Implementers in Jira Service Management Without Agent Licenses
In many organizations, change management involves external vendors or implementation partners who are responsible for executing planned changes. However, providing these external users with Jira Service Management (JSM) agent licenses can significantly increase licensing costs. In such scenarios, organizations need a way for external implementers to collaborate on change requests without being part of the internal agent…
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Why GitLab Is the Better Choice for Modern DevSecOps Teams
In the modern software ecosystem, speed and security must go hand in hand. Development teams are under constant pressure to ship faster, stay secure, and reduce operational overhead. Choosing the right DevOps platform isn’t just a technical decision, it’s a strategic one.Both GitLab and GitHub are excellent Git repository platforms. But when you need more…
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GitLab Duo Core is evolving into the Duo Agent Platform (DAP) — What this means for Enterprises
AI in DevSecOps is evolving — and so is GitLab GitLab Duo Core is officially transitioning to the Duo Agent Platform, marking a significant step forward in how AI supports software development, security, and operations within the unified DevSecOps lifecycle. The evolution from Duo Core to Duo Agent Platform signals a shift from standalone AI…
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From Jenkins to GitLab CI/CD: A Practical Enterprise Migration Strategy
Many enterprises began their CI/CD journey with Jenkins. For years, Jenkins has been a powerful automation server enabling teams to build, test, and deploy applications. However, as software delivery has become more complex, many organizations are now facing challenges such as:a) Plugin sprawl and maintenance overheadb) Security and compliance visibility gapsc) Complex pipeline managementd) Difficulty…
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Best practices for Generative AI Adoption in enterprises
An enterprise must strategically balance organisational structure, standardised procedures, and technical capabilities to implement and scale Generative ai successfully. The following best practices provide a foundation for successful enterprise-wide adoption, drawing on successful deployments across multiple businesses. Organisational structure and governance Think about creating a model governance committee and an AI centre of excellence. AI…
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DevOps: Accelerating Software Delivery Through Automation, Collaboration, and CI/CD
In the world of software development, things move quickly, and teams need ways to keep up without sacrificing quality or security. This is where DevOps and CI/CD come into the picture. If you’re new to these concepts or looking for a straightforward explanation, this blog walks you through the basics, starting with DevOps and building…
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Ditching ServiceNow: Is Jira Service Management Ready for Enterprise?
Many companies are trying to cut IT and service management costs. ServiceNow is powerful, but it is also expensive and complex. Because of this, more teams are asking a simple question: Can Jira Service Management (JSM) replace ServiceNow? Let’s break it down. Why Companies Are Rethinking of ServiceNow ServiceNow often comes with: For many teams, this means high spend and…
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Duo Agent Platform (DAP): The Next Evolution of AI-Powered DevSecOps
Artificial Intelligence in software development is no longer just about code suggestions. Enterprises are now moving beyond basic AI assistants toward agentic AI systems that can reason, act, and collaborate across the entire software lifecycle. This is where Duo Agent Platform (DAP) from GitLab enters the picture. The Duo Agent Platform represents the next evolution…
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DORA Metrics & Engineering Productivity: Measuring What Matters with GitLab
Why Engineering Metrics Matter at the Board Level In today’s digital economy, software delivery performance is directly tied to business success. Speed, stability, and quality are no longer just engineering concerns — they are executive priorities. Yet many organizations still measure engineering success using outdated or misleading metrics such as lines of code, number of…
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Copilot Agents: Choosing How You Want AI to Work With You
A typical development day begins in Visual Studio Code with a new task in the backlog. “Add authentication to the application.” The objective is clear. The technical path is familiar. What varies is the way the work is executed —whether through careful exploration, uninterrupted execution, or collaborative review. Copilot Agents are designed to support these…