News

The DevOps tools and services market could reach well over $20 billion in the next few years as the demand for faster ...
The time for DevOps experimentation is over – it’s time for DevOps success. Improving software testing with test automation and better cross-functional collaboration processes is an ...
Big Data Testing Constraints In DevOps And Agile Environments. ... Plus, the velocity of large data volumes makes storing and retrieving data impossible with conventional software techniques.
The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...
By combining DevOps and MLOps into a single Software Supply Chain, organizations can better achieve their shared goals of rapid delivery, automation, and reliability, creating an efficient and ...
For years, testing has proved a steep challenge for efficient and effective software development. Even today, testing is clunky, inconsistent, and time consuming. It’s widely recognized that ...
The survey also finds 37% of teams use AI/ML in software testing (up from 25%), and a further 20% plan to introduce it this year. Another 19% plan to roll out AI/ML-powered testing in the next two ...
DevOps begets agile. In agile, IT and business leaders are often co-located and meet frequently to hash out software development. This allows companies to cut time-to-market by a third or more.
DevOps and continuous delivery are rapidly becoming the de facto standard for software development. The key business driver behind these initiatives: delivering new functionality to your customers ...