Technical Insights & Architecture Papers
Deep-dives on high-throughput backend architecture, Python & Django performance, real-time Voice AI, and resilient database modeling.
Zero-Copy Analytics: Querying Parquet Data Lakes Directly from PostgreSQL via Foreign Data Wrappers
Exporting historical database records into analytical data warehouses often results in duplicated ETL pipelines and stale reporting. Discover how to query compressed Apache Parquet files on S3 directly within PostgreSQL using Foreign Data Wrappers with zero data duplication.
Hybrid Search in PostgreSQL: Combining Full-Text Search with pgvector via Reciprocal Rank Fusion
Pure vector cosine distance misses exact alphanumeric SKU/ID matches, while keyword search misses semantic intent. Learn how to architect a native hybrid search engine inside PostgreSQL using tsvector, pgvector, and Reciprocal Rank Fusion (RRF) in a single CTE query.
Mastering `select_for_update`: Preventing Race Conditions in Financial Ledgers & Worker Queues
High-concurrency updates to balances, limited promo codes, and worker queues suffer from lost updates. Master pessimistic locking, skip_locked semantics, and optimistic concurrency control in Django and PostgreSQL.
Zero-Impact Analytics on PostgreSQL: Read Replicas, Logical Replication & Querying via DuckDB
Executing heavy analytical aggregations on production OLTP databases degrades web latency. Compare physical read replicas against direct in-process DuckDB queries over PostgreSQL storage.
The Transactional Outbox Pattern: Eliminating Dual-Write Inconsistencies in Distributed Systems
Writing to a SQL database and publishing an event to RabbitMQ/Kafka in the same request causes state divergence. Discover how to implement the Transactional Outbox pattern with guaranteed at-least-once delivery.
PostgreSQL `pgvector` in Production: HNSW vs. IVFFlat Indexes for Low-Latency RAG Search
Vector search in high-dimensional embedding spaces degrades query latency without optimized indexing. Learn how to configure HNSW graphs and memory parameters in pgvector for sub-10ms semantic retrieval.