performance
14 posts found
PostgreSQL Planner Cost Analysis: B-Tree Index Scans vs Sequential Scans
An architectural breakdown of how PostgreSQL evaluates sequential scans against B-Tree index scans based on disk page weights, random IOPS, buffer pool limits, …
Architectural Shifts in Programmatic Web Inspection Engines
Analyzing how browser automation engines scaled from heavy multi-process Chrome binaries to minimal Rust-backed parsing runtimes.
Open‑source tools reshaping security and performance in 2026
Recent open‑source updates in headless browsing, RAW photo pipelines, and security tooling show how lean Rust crates can replace bulky dependencies while improv…
Dissecting In-Memory Key-Value Stores: Architecture, Kernels, and Replication
A technical Q&A analyzing in-memory database bottlenecks, kernel page management, replication backlog buffer sizing, and connection pipelining.
Linux Transparent Proxying: TPROXY vs TUN Device Interception
Comparing Linux Netfilter TPROXY and Layer 3 TUN virtual interfaces across kernel overhead, metadata tracking, routing topology, and transport protocol handling…
GPU Cloud Observability Is a Topology Problem
GPU clusters break every observability assumption. The metrics are green but the job is 3x slower. Here's what you actually need to monitor.
The Evolution of Large-Scale MySQL Batch Mutations
How engineering teams transitioned from locking UPDATE queries and trigger tables to resumable cursor queues and adaptive throttle loops to safeguard live produ…
Interview: Why Android Cannot Encode MP3 and How to Work Around It
Android decodes MP3 audio natively, but its media framework lacks an MP3 encoder and container muxer. Audio engineer Marcus Vance explains the NDK alternatives.
Fullstack Rust Beyond Electron: An Architectural Case Study of Dioxus
Shipping a 150MB Chromium shell for a basic desktop utility is an outdated architectural pattern. Here is how Dioxus uses Rust signals, system webviews, and Axu…
Model Optimization: From FP16 to Speculative Decoding
A timeline tracking how deep learning model optimization evolved from FP16 mixed precision and INT8 calibration to outlier-aware AWQ, speculative decoding, and …