MLOps, or DevOps for machine learning, is bringing the best practices of software development to data science. You know the saying, “Give a man a fish, and you’ll feed him for a day… Integrate machine ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...

CA is one of the oldest, most traditional enterprise software companies around. As such, it has not exactly been synonymous with innovation. But Ashok Reddy, its DevOps general manager, says this is ...

Organisations are rightly focused on the need to meet customer demands for instant access to their services. Technology acceptance means that customer expectations have soared. They want to use any ...

DevOps has emerged as a transformative framework in software development, fundamentally reshaping the traditional separations between development and operations teams. By integrating automated tools ...

Microsoft Azure DevOps is software that uses modern agile methodologies and definitions to help track, plan and collaborate. There are five separate services included with Azure DevOps, and each can ...

It’s time to bridge the technical gaps and cultural divides between DevOps, DevSecOps, and MLOps teams and provide a more unified approach to building trusted software. Call it EveryOps. There are ...

Software teams sometimes ship multiple releases in a single day. But speed alone doesn’t guarantee success. What truly separates high-performing DevOps teams from the rest is how well they manage ...