DataCenter

Inside Computer Hardware: Architecture and Trends Understanding computer hardware helps you see why a device feels fast or slow. Hardware is built in layers, from cores and caches to memory, storage, and I/O. Each layer carries a specific job, and the way they connect decides how smoothly programs run, games render, and data moves through the system. Today’s machines blend several parts to handle many tasks at once. Processors today mix CPU cores, GPU units, and sometimes dedicated accelerators in a single package or across multiple chips. General purpose CPUs handle everyday tasks—opening apps, browsing, editing text—while GPUs shine at parallel work like graphics, video editing, and AI workloads. New designs also include specialized AI accelerators that speed up machine learning tasks without overloading the main CPU. This mix makes systems flexible for work, play, and study. ...

Networking Basics for Cloud and Data Center Engineers Networking is the backbone of both cloud and data center work. A solid foundation helps you plan, build, and operate reliable networks that support apps, databases, and users around the world. Start with simple ideas: hosts connect to switches, switches forward traffic, routers move data between networks, and security devices protect the flow. Core concepts include a layered view, clear device roles, and common protocols. Understand who does what at L2 (switching) and L3 (routing), why subnets matter, and how VLANs separate traffic for safety and performance. A small diagram or map of your network can reduce confusion later. ...