distributed databases

Practical, Bash-first guide to designing and running highly available databases for AI on Linux: map AI components to the right stores (PostgreSQL/pgvector, Redis, ClickHouse/Timescale/OpenSearch), define RTO/RPO and consistency trade-offs, deploy Postgres + Keepalived/HAProxy/PgBouncer, Redis Sentinel/Cluster, implement backups (WAL, AOF/RDB), add observability, and validate with failover drills and a resilient RAG example.