Sai Raghavendra believes reliability is not about preventing every failure, but about learning from complexity ...

This framework ensures that there is a structured intelligence capacity, offering a layer that makes experts and teams seek ...

AI agents are evolving from tools to autonomous problem-solvers, reshaping engineering roles and skills. This shift demands new expertise in governance, observability, and safe AI integration in cloud ...

AI-powered test automation is redefining software reliability by reducing flaky tests, expanding coverage, and accelerating ...

With over a decade of experience architecting and operating large-scale cloud environments across AWS, Azure, and Google ...

In today’s hyper-connected world, the technology we rely on works quietly in the background. It processes bank payments before we’ve had our morning coffee, secures medical records without the patient ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Code is being shipped faster than ever fueled by the rise of GenAI and trends like vibe coding. While this is undoubtedly a productivity boost for organizations, there are pains on the other side ...

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

As digital systems grow complex, AI shifts reliability from firefighting outages to predicting and preventing failure.

Cleric, a startup that provides artificial intelligence teammates for production engineering, today announced the launch of its AI-powered site reliability engineer agent, capable of continuously ...

One of the best approaches to mitigate hallucinations is context engineering, which is the practice of shaping the ...