In the rapid development of cloud computing and distributed systems today, microservice architecture and cloud-native technologies have become core driving forces for enterprise digital transformation ...

Familiar patterns—and familiar lessons—are emerging as enterprises get serious about agentic AI and Model Context Protocol ...

The modern data landscape demands sophisticated engineering solutions that can handle massive scale while maintaining operational excellence. As organizations increasingly rely on real-time analytics ...

The landscape of machine learning engineering has evolved dramatically over the past decade, with organizations increasingly demanding scalable, production-ready solutions that deliver measurable ...

Open banking has emerged as the critical bridge between outdated systems and the financial operations enterprises need to ...

Srajan Gupta's work with AI Security Crew sits at the convergence of multiple trends: the rise of AI agents, the need for ...

In modern environments, AI, edge computing, and 5G are converging to create a new generation of infrastructure stress points.

Ravi Shankar Garapati’s research offers a thoughtful, technically rigorous framework for addressing these challenges through ...

Remote IT support has changed how technical teams solve problems across distributed workforces. When systems fail or users ...

APIs remain the unsung heroes of digital transformation, enabling everything from seamless logins and payments to secure ...

Explore how infrastructure-first telecom product development boosts reliability and innovation through blue/green deployments ...