Comprehensive Alembic (official SQLAlchemy migration tool) guide: env.py setup, autogenerate detecting model changes (fields, indexes, constraints), batch scripts, downgrade rollback strategies, plus standard SOP for multi-developer migration branch conflicts and divergent head merging, with production deploy checklist.
Build production-grade RAG from scratch: doc chunking (size + overlap windows), embedding model selection, vector DB retrieval filters, Reranker refining Top-K, plus citation grounding and prompt compression. Complete runnable code included.
Advanced patterns: CQRS separate read/write models for query performance; Event Sourcing using events as source of truth for audit + time travel. Covers consistency, snapshots, idempotency pitfalls and anti-patterns.
Master PostgreSQL optimization: EXPLAIN ANALYZE plans, choosing index types (B-tree/GIN/BRIN), updating statistics, tuning joins, and partitioned table design for maximum performance.
