Writing

Thinking out loud
about systems.

Architecture decisions, hard-won lessons, and honest post-mortems from real production systems. Not tutorials — actual problems and how I solved them.

May 1, 2026·10 min read

Scaling a Sentiment Analysis API: From 100% CPU to Production-Ready

Two uvicorn workers pegged two CPU cores at 100% for 4+ hours on our Arabic NLP service. Here are the five fixes that cut RAM by 1.5 GB per worker and set the path toward 5–7x faster inference — without touching the API.

PythonFastAPINLPMachine LearningBackend
April 15, 2026·6 min read

Why Both Scanners Must Agree: The Insight Behind Fendix

Most security scanners drown you in noise. Here's the single architectural decision that cut Fendix's false positive rate by ~70% — and why the solution was obvious in hindsight.

SecurityGoOpen Source
August 14, 2025·5 min read

PostGIS vs. Plain Coordinates: A Real-World Comparison from Building MURI

When I started building MURI's geospatial layer, I debated storing lat/lng as floats vs. using PostGIS. Here's what that decision actually looked like in practice — with real query comparisons.

PostgreSQLGISBackend
January 28, 2025·7 min read

5 Million Events a Day: Architecture Lessons from Twiscope

What we learned building a social intelligence platform that processes 5M+ data points daily — the architectural decisions that held, the ones that didn't, and what I'd do differently.

DjangoCeleryRedisScale
November 5, 2024·5 min read

Serverless Architecture & Limits: The Real Behind-the-Scenes

Serverless offers real flexibility and automatic scaling — but it comes with constraints most tutorials skip. Here's what cold starts, execution limits, and statelessness actually mean in practice, and how to work around them.

ServerlessAWS LambdaCloudArchitecture
October 18, 2024·8 min read

A Journey into Backend Depths: 8 Techniques You Must Know

Backend development is much bigger than just writing APIs. Here are 8 areas every backend engineer must understand to reach real professionalism — from distributed systems and consistency models to serverless and disaster recovery.

BackendDistributed SystemsArchitectureSecurity
January 10, 2024·6 min read

Caching for Performance: Speed Up Your Django App with the Built-In Caching Framework

Django ships with a powerful caching framework that most developers underuse. Here's how to apply it correctly — from per-view caching to fine-grained object caching — with lessons from a system that cut latency 25% purely through cache strategy.

DjangoRedisPerformanceBackend

More articles on the way.