One Postgres Instance Can Replace Redis, Kafka, and Elastic Stack
Postgres can act as cache, queue, full‑text search, document store, and even vector store, letting teams drop most auxiliary databases. By leveraging unlogged tables, pgvector, pgmq and extensions like TimescaleDB, you cut operational surface, costs, and latency. Only add specialized services when Postgres truly hits its limits.