Whileone Tech Space

Every silicon vendor at every keynote this year has said some version of the same sentence: the next CPU generation will be built for agentic workloads. Intel talked about CPUs as the orchestration layer for agentic systems, Arm argued that agents are driving a fresh wave of data centre CPU demand, and NVIDIA introduced Vera as a CPU designed for agentic workflows rather than general-purpose compute. The direction is settled. The definition is not. Because here is the questio

Objective Building an AI-powered system that automatically identifies and classifies software errors into meaningful categories, and provides root cause analysis and recommendations. Challenge Solution Developed multiple machine learning models to classify errors within seconds Integrated retrieval-augmented generation (RAG) for Root cause analysis Used Large language Models (LLMs) for providing narratives and recommendations Benefits

Introduction In our previous post, How CloudNudge Can Help You Optimize and Manage Your Cloud Expenses, we discussed how visibility is the first step toward financial control. However, for software and hardware engineers, a low cloud bill is a hollow victory if it comes at the cost of system latency. Saving money is great. Saving money without breaking your application is Performance Engineering. The Performance-Cost Paradox The most common mistake in cloud optimization is "B