Technical Insights & Architecture Papers
Deep-dives on high-throughput backend architecture, Python & Django performance, real-time Voice AI, and resilient database modeling.
PostgreSQL Index-Only Scans & Covering Indexes: Eliminating Heap Fetches on High-Throughput Read APIs
Eliminate disk I/O bottlenecks in PostgreSQL read APIs by architecting Covering Indexes with the INCLUDE clause and tuning Visibility Maps to guarantee true Index-Only Scans.
Horizontal Database Sharding at Scale: Citus Distributed Tables, Distributed Transactions, and Partition-Wise Joins
When a single PostgreSQL primary reaches write saturation and storage limits, Citus transforms PostgreSQL into a distributed cluster. Master shard keys, 2PC distributed transactions, and co-located joins.
SQLite in High-Concurrency Server Production: WAL2 Mode, Memory-Mapped I/O (mmap), and 15,000+ Reads/Sec on the Edge
Dismissed as an embedded toy, modern SQLite can power blazing-fast edge backends and microservices. Discover WAL2 checkpoints, mmap_size, PRAGMA connection pooling, and multi-reader concurrency patterns.
PostgreSQL TOAST Internals & Large JSONB Bloat: Eliminating Compression Overhead and Out-of-Line Storage Traps
High-volume JSONB and text columns trigger PostgreSQL TOAST tables, silently degrading read throughput and inflating disk I/O. Master storage strategies, LZ4 vs pglz compression, and out-of-line detoasting tuning.
PostgreSQL Declarative Partitioning at 50M Rows/Day: Automating Partition Pruning, Maintenance & Retention with pg_partman
Monolithic tables ingest millions of daily records until index bloat and autovacuum lockups cripple query performance. Master PostgreSQL native range partitioning and automated lifecycle maintenance with pg_partman.
High-Density Time-Series Analytics: ClickHouse AggregatingMergeTree and Materialized Views for Billion-Row Telemetry
Relational databases choke when aggregating billions of time-series telemetry events. Harness ClickHouse AggregatingMergeTree and stateful materialized views to serve sub-30ms analytical rollups on billion-row datasets.