DevOps

Agentic AI in the SDLC refers to autonomous, goal-driven AI agents that operate across planning, coding, testing, deployment, and operations. […]

Over the last decade, enterprises have automated most core engineering workflows, from integration and testing to deployment and observability. However,

DevOps generates a massive volume of logs, metrics, and events that traditional manual analysis cannot process in real time. AI

A recent survey of 300 enterprise IT and technology leaders reveals that although 85% have completed migrations to new DevOps

DevOps as a Service (DaaS) is rapidly emerging as a transformative delivery model for organizations seeking streamlined software development and

As software delivery demands intensify, organizations are shifting from fragmented toolchains to modern DevOps automation platforms that seamlessly integrate CI/CD,

The evolution of cloud native has entered a new chapter. After a decade of perfecting microservices through Kubernetes, containers, and

In today’s fast-moving digital landscape, zero-day exploits have become one of the most severe threats to application security. Attackers no

AppOmni has released Heisenberg, an open-source solution designed to automatically scan pull requests (PRs) for newly added or risky dependencies prior

the debate over “platform engineering versus DevOps” misses a critical point. While developer portals and productivity tools can streamline workflows,