Case studies, architectural decisions, and production lessons learned while designing, building, and optimizing high-throughput backend systems, cloud infrastructure, and developer utilities.
A practical deep-dive into resolving N+1 query bottlenecks, compound B-tree indexing strategies, and implementing the Cache-Aside pattern with Redis to scale backend services under heavy load.
How we engineered a chunked multipart file upload architecture supporting 5GB+ payloads and built a streaming PDF generation pipeline that never exceeds 256MB container memory limits.
A practical guide to auditing cloud resources, optimizing multi-stage Docker builds, and migrating backend services to Google Cloud Run with fine-tuned concurrency to slash monthly server bills.
Architecting a decoupled, scalable real-time notification engine using WebSockets, Redis Pub/Sub message brokers, and automatic reconnection handlers for enterprise web clients.
How we built a 100% private, browser-based image compression engine supporting JPEG, PNG, and WebP using offscreen Canvas and Web Workers without relying on external servers.