Technical Insights & Architecture Papers
Deep-dives on high-throughput backend architecture, Python & Django performance, real-time Voice AI, and resilient database modeling.
Mastering PgBouncer: Connection Pooling & Transaction-Level Sizing
PostgreSQL spawns a dedicated process per connection, exhausting server RAM under high concurrency. Learn how to configure PgBouncer in transaction pooling mode to scale throughput by 5x with minimal resource footprint.
Demystifying Async Django: When to Use `async def` vs. Background Workers
Async Django views promise high concurrency, but misunderstanding thread handoffs and blocking ORM calls can ruin performance. Learn exactly when to employ ASGI async def versus offloading to asynchronous worker pools.
PostgreSQL at Scale: Partial Indexes, Partitioning & JSONB Optimization
When PostgreSQL tables grow beyond tens of millions of rows, default B-tree indexing and sequential scans cause query degradation. Learn how to leverage partial indexes, range partitioning, and GIN JSONB optimization.
Hypermedia Over SPAs: Building Reactive Web Apps with Django & HTMX
Single Page Application (SPA) architectures introduce bloated JavaScript bundles, state synchronization traps, and fragile build pipelines. Here is how to build responsive, reactive web applications using Django and HTMX.
Resilient Web Scraping & Headless Browsers: Evading Fingerprinting & Memory Bloat
Running headless Chromium across tens of thousands of targets causes severe memory bloat and bot challenge triggers. Here is how to engineer resilient worker pools, evade canvas/TLS fingerprinting, and stream tabular data with zero leaks.
Taming Redis & Celery in Production: Memory Limits, Worker Pools & Dead-Letter Queues
Preventing background worker crashes and memory exhaustion in Celery and Redis: memory eviction policies, worker pool sizing, task timeouts, and dead-letter queues.