Software development teams can be particular about the tools they use. Being picky can often lead to challenges such as tool sprawl, knowledge silos, and overall inefficiencies. These bumps in the road slow down their ability to successfully deliver applications to...
Carlos Almeida
Embedding Security in Every Stage of Software Development
In the software development landscape, security should be considered a foundational necessity. With the rise of agile methodologies and AI-driven code generation, developers are able to create software at an unprecedented pace. However, this speed often comes at the...
Leveraging AI to Drive Innovation and Speed in Software Development
Artificial Intelligence (AI) is making its way into nearly every industry, revolutionizing how people work. The software development sphere is no exception. AI is empowering developers to focus on creativity and innovation by eliminating repetitive tasks with...
How GitLab Embraces AI to Transform DevSecOps Processes
From resolving security vulnerabilities to maintaining productivity amidst context switching, software developers must overcome many challenges in their day-to-day work. Manually dealing with every issue that comes their way can result in delays. GitLab Duo, a suite...
Boost Your Cloud Security Using Atlassian Guard Premium
Shifting to a cloud environment is daunting for many organizations. Worries about losing data often prevent this migration. However, cloud environments have never been more secure with Atlassian Guard Premium. Atlassian’s advanced cloud security add-on defends...
The Art of Platform Engineering: A Deep Dive into Best Practices and Strategies
The conversation surrounding platform engineering is growing louder in the software delivery sphere. While DevOps has been the main focus in recent years, platform engineering may be the next big trend. DevOps focuses on integrating development and operations for...
Why 80% of Organizations Will Switch to DevOps Platforms by 2027
The software development landscape is undergoing a shift. It is predicted that 80% of organizations are expected to transition to DevOps platforms by 2027. This is due to the desire to reduce complexity, streamline workflows, and accelerate value delivery. Explore...
Can (and Should) You Use Jira and Confluence as a Quality Management System (QMS)?
Jira and Confluence are popular tools for project planning and collaboration. The idea of leveraging these tools as a Quality Management System (QMS) may seem logical for businesses already utilizing them. However, despite their familiarity, Jira and Confluence are...
Measuring the Impact of AI on Product and Development Teams
Generative AI is transforming the software development industry, enabling teams to develop, secure, and operate software more efficiently. GitLab is no exception. Its AI-powered suite, GitLab Duo, aims to optimize workflows across the entire software delivery...
Seamlessly Transition from AWS CodeCommit to GitLab
In July of 2024, AWS announced that AWS CodeCommit would no longer be sold to new customers. And thus begins the journey of winding down a product for AWS. As AWS CodeCommit approaches its end-of-life, many organizations face a tough decision. Choosing where to...
Transforming Your Workflow from IBM Doors to Codebeamer with OpsHub
Migrating from one requirements management tool to another can be a daunting task, especially when handling large datasets and intricate relationships between artifacts. IBM Doors is a widely used tool for requirements management, but many organizations are...
GitLab Duo Vulnerability Resolution Transforming Security for Modern Development
As new threats emerge, it is becoming vital for security to be integrated into code development processes. Vulnerabilities in code often lead to delays as teams try to balance addressing security concerns with delivering new features. Fortunately, GitLab Duo, GitLab’s...