Hybrid Search with Postgres in 2026 — pgvector + FTS + Reranker
Production hybrid search with Postgres alone: pgvector for semantic, tsvector for lexical, RRF fusion for combining, optional reranker. Performance, tuning, and patterns.
Production hybrid search with Postgres alone: pgvector for semantic, tsvector for lexical, RRF fusion for combining, optional reranker. Performance, tuning, and patterns.
Time-series patterns: vanilla Postgres + time partitioning, TimescaleDB hypertables and continuous aggregates, ClickHouse for OLAP scale, and the decision matrix.
How to use Postgres RLS for multi-tenant safety. Policies, session variables, performance considerations, and the patterns that make RLS a cheap defense-in-depth layer.
Why VACUUM matters, how MVCC creates bloat, autovacuum tuning, bloat detection, pg_repack, and the playbook for keeping Postgres healthy at scale.
Practical Postgres tuning cheat sheet. Config knobs that matter, indexing patterns, reading EXPLAIN ANALYZE BUFFERS, vacuum and bloat, connection pooling, and slow-query diagnostics.
When and how to partition Postgres tables. Range / list / hash, partition pruning, attach/detach, default partitions, and the gotchas at scale.
Production HA for Postgres in 2026. Streaming vs logical replication, Patroni vs pg_auto_failover vs Stolon, RPO/RTO tradeoffs, and the patterns that keep a primary alive.
How CDC actually works in 2026. Postgres logical replication slots, pgoutput, Debezium, the outbox pattern, and how to fan out changes to Kafka, NATS, ClickHouse, OpenSearch, or your AI pipeline.
A practical 2026 guide to distributed SQL. The architecture behind CockroachDB / Spanner / Yugabyte / TiDB, when distributed SQL earns its cost, when Postgres + read replicas is enough, and the migration realities.
How Postgres MVCC actually works, the four isolation levels (and what each gives you), row vs advisory locks, deadlocks, and the transaction patterns every backend developer needs to handle concurrency correctly.