Technical Insights & Architecture Papers
Deep-dives on high-throughput backend architecture, Python & Django performance, real-time Voice AI, and resilient database modeling.
Multi-Tenant SaaS Architecture: Row-Level Security (RLS) vs. Separate Schemas
Choosing between shared-database row filtering and schema-per-tenant has massive consequences for database connection pooling, migrations, and operational maintenance. Here is an architectural deep-dive into PostgreSQL RLS.
High-Performance Full-Text Search: PostgreSQL `tsvector` vs. Elasticsearch
Engineering teams often deploy and maintain complex, RAM-heavy Elasticsearch or Meilisearch clusters when native PostgreSQL already handles 95% of search use cases at a fraction of the cost. Here is how to configure tsvector, pg_trgm, and GIN indexing.
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.
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.
Zero-Downtime PostgreSQL Schema Migrations: The Expand-and-Contract Pattern
How to execute production database schema modifications without table locks, transaction timeouts, or breaking running application threads using the Expand-and-Contract lifecycle.
Relational Database Schema Design: Indexing, Integrity & Normalization
Essential strategies for designing robust relational database schemas that maintain strict ACID compliance, high concurrency, and sub-millisecond query performance at scale.