Running ML models in the browser with ONNX Runtime Web: a practical guide
FaceVision does face detection, recognition and liveness checks without sending a single frame to a server, because every model runs in the browser…
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Caching Strategies Explained: From Browser to Database, and the Stale Data in Between
HTTP caching, cache-aside, write-through, Redis patterns, and cache invalidation — plus the stale data problems. The Request That Cost $100,000 In 2…
vLLM vs Ollama: Production Serving 2026
Compare vLLM and Ollama for LLM serving in 2026 — architecture, verified performance under concurrency, and a decision framework for choosing or com…
Local vs Hosted LLMs: The Decision Framework
A comprehensive framework for deciding between local LLMs and cloud APIs. Covers cost, privacy, latency, control, and the hybrid approach. The Cathe…
Secure DNS: The Trade-off of Privacy for Performance
Last year, I noticed a significant increase in DNS resolution times for a critical service of one of my clients. Initially, I suspected a problem at…
Technical Leadership vs. Managerial Leadership: Chart Your Career Path
When I received an offer to lead a team developing a new module for a production ERP, two different paths emerged in my mind: deepening my existing…
Large Language Models Demystified: A Visual and Practical Guide
If you've been anywhere near the tech world in the past two years, you've heard the term "large language model" (LLM) thrown around constantly. But…
Block Ads Across Your Entire Network: Why AdGuard Home Overtakes
Why AdGuard Home Overtook Pi-hole Last month, while attempting to add ad filtering to the internal network of a production ERP system, the Pi-hole c…
Kotlin 2.0 vs Python 3.13: The Definitive Guide to benchmark in Production
Kotlin 2.0 vs Python 3.13: The Definitive Guide to Benchmarking in Production With Kotlin 2.0’s stable K2 compiler and Python 3.13’s experimental fr…