Tech How-To

Real-time Analytics: Streaming Data to Dashboards Real-time analytics helps teams observe events as they happen. With streaming data, dashboards refresh continuously, helping people spot trends and issues quickly. This guide shares practical ideas to build a simple streaming dashboard that you can reuse. How real-time streams work Data sources push events to a streaming platform (for example, Apache Kafka, AWS Kinesis, or Pulsar). A processor reads those events, aggregates them near real time, and writes results to storage. A dashboard or BI tool queries the latest numbers to render charts. Real-world example An online store streams events such as view, add_to_cart, and purchase into a topic. A small processor computes per-minute revenue and top products, then stores results in a time-series database. A Grafana dashboard shows revenue over time and a map of active users, updating as new events arrive. ...

Hardware Essentials: From CPU to Memory for Tech Enthusiasts Tech enthusiasts often chase higher clock speeds and more cores, but memory is the bridge between them and the user. The way RAM, cache, and storage interact with the CPU shapes how fast programs start and how smoothly you multitask. CPU basics A modern processor uses cores and threads to handle tasks at once. Clock speed matters for single‑threaded work, while cache and instruction efficiency boost overall speed. For example, a common consumer setup might be 6 cores and 12 threads with a 3.5–4.8 GHz boost. Beyond raw speed, IPC (instructions per cycle) and thermal headroom determine real performance in games, editing, and multitasking. ...

Malware Analysis: Tactics, Techniques, and Tools Malware analysis helps security teams understand how malicious code operates and why it matters. By studying a sample, analysts can build better detections, map risk, and guide remediation. A practical approach blends structure with curiosity, always staying within safe, legal boundaries. Static analysis basics The first look is to inspect the file without running it. Check the file type and packing, examine strings, resources, and metadata. Hash the binary, verify signatures, and note compiler dates. These clues reveal authors, targets, and delivery methods, and they help decide whether deeper study is safe. ...