Technical Insights & Architecture Papers
Deep-dives on high-throughput backend architecture, Python & Django performance, real-time Voice AI, and resilient database modeling.
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.
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.
Change Data Capture (CDC) at Scale: Streaming PostgreSQL WAL Changes to Redis & Kafka with Debezium and pgoutput
Application-level dual writes fail silently, while table polling destroys database IOPS. Learn how to stream PostgreSQL write-ahead log (WAL) mutations directly to Kafka and Redis using native pgoutput logical replication and Debezium.
Database Connection Multiplexing with PgBouncer: Transaction vs. Session Pooling at Scale
PostgreSQL allocates a dedicated OS process for every incoming client connection, consuming 5-10MB RAM per backend. Learn how to configure PgBouncer in transaction pooling mode to scale to 10,000+ client connections while navigating prepared statements and session state.