DevOps

The rapid evolution of the Salesforce platform has created a significant challenge for development teams, forcing them to reconcile the worlds of declarative, low-code development with the rigorous demands of modern software engineering. As organizations scale their use of the platform, the

In a world where software delivery is accelerating at a breakneck pace, the roles that build, test, and maintain our digital infrastructure are undergoing a seismic shift. We sat down with enterprise SaaS technology and software architecture expert Vijay Raina to cut through the noise surrounding

For years, the DevOps movement has walked a tightrope, balancing the relentless demand for faster software delivery against the critical need for unwavering operational stability, a conflict that artificial intelligence is now decisively resolving. This integration marks a significant evolution,

Enterprises heavily reliant on the decades-old stability of IBM i and IBM Z platforms now face an urgent and complex challenge: how to evolve these mission-critical systems for a future dominated by AI, cloud integration, and ever-present security threats. Answering this critical need,

The long-held notion that "bigger isn't always better" is solidifying into the new reality for artificial intelligence, as the practical demands of enterprise applications for speed, cost-efficiency, and control are driving a decisive shift away from monolithic models. While massive AI systems have

The vast and ever-expanding universe of organizational data is increasingly defined by a critical disconnect between the technical production of data assets and the realization of their intended business value. In many companies, the role of the data engineer has traditionally been confined to that