7-Part Tutorial Series

Modern PostgreSQL Superstack

Production PostgreSQL 17 on a RamNode VPS — from a clean install through the modern extension stack (pgvector, ParadeDB, pg_duckdb), high availability with Patroni, and continuous backup with pgBackRest.

7 integrated guides

~7 hours total

4 GB RAM baseline

Start Part 1

What You Can Build From This Stack

Self-Hosted RAG

Parts 1 + 2 + 3

Embeddings table with HNSW indexes, hybrid retrieval, transactional consistency between documents and vectors — no separate vector database to operate.

Elasticsearch Replacement

Parts 1 + 2 + 4

BM25 ranking, fuzzy and phrase queries, faceted search, and highlighting — driven from the same database that owns your data, with no separate index to keep in sync.

Embedded Analytics

Parts 1 + 2 + 5

DuckDB columnar execution against Parquet on S3-compatible storage, joined with your transactional tables — dashboards without an external warehouse.

HA Cluster + DR

Full series

Three-node Patroni cluster with automatic failover, HAProxy writer/reader endpoints, and encrypted offsite backups with verified point-in-time recovery.

Series Roadmap

Part 1: Production PostgreSQL 17 Install on Ubuntu 24.04

45 min

Land a clean foundation: PGDG repo, locale-aware initdb, scram-sha-256, least-privilege roles, UFW, and journalctl integration — the base every later part builds on.

Part 2: Tuning PostgreSQL for VPS Workloads + PgBouncer

60 min

Memory math, checkpoint and WAL tuning, autovacuum that actually works, SSD-aware planner settings, and PgBouncer 1.23 with transaction pooling and auth_query.

Part 3: pgvector for Embeddings, RAG, and Semantic Search

55 min

HNSW vs IVFFlat, halfvec for half-size indexes, hybrid retrieval with tsvector, local sentence-transformers, and partial indexes for tenant-isolated vector search.

Part 4: ParadeDB for Full-Text Search and BM25

50 min

Replace tsvector with Tantivy-backed pg_search — BM25 ranking, fuzzy and phrase queries, faceting, highlighting, and reciprocal rank fusion with pgvector.

Part 5: pg_duckdb for Analytics and Data Lake Queries

55 min

Vectorized columnar execution inside Postgres. Query Parquet on S3-compatible storage, join with native tables, and run dashboard aggregates without an external warehouse.

Part 6: Patroni High Availability Cluster

75 min

Three-node Patroni + etcd + HAProxy. Bootstrap, replica catch-up, sync vs async replication, planned and unplanned failover, and rolling upgrades.

Part 7: Backups and Disaster Recovery with pgBackRest

60 min

Continuous archiving, encrypted offsite repos on S3-compatible storage, full/diff/incremental schedules, verified PITR restores, and a copy-paste DR runbook.

Who This Series Is For & What You Need

Intermediate to advanced developers and sysadmins deploying PostgreSQL on RamNode for production workloads. Linux command-line fluency and basic SQL are assumed; Postgres administration is taught from the install up.

• A RamNode VPS — 4 GB RAM baseline (sizing tables for 2 GB, 8 GB, 16 GB included). Part 6 needs three small instances.
• Ubuntu 24.04 LTS (primary target) or Debian 12 (notes where commands diverge)
• PostgreSQL 17 (notes for 16 readers)
• SSH access and sudo privileges
• For Part 7: an S3-compatible bucket (Backblaze B2, Wasabi, or RamNode Cloud Object Storage)