Learn PostgreSQL from Community Experts
Beginner
- Build strong SQL and relational database foundations
- Learn schema design, constraints, and data modeling
- Get hands-on with PostgreSQL tools and workflows
Intermediate
- Master performance, indexing, and query optimization
- Work with application integration, security, and APIs
- Learn backups, monitoring, and real-world operations
Advanced
- Design scalable systems with replication, HA, and PITR
- Deep dive into internals, extensions, and architecture
- Explore AI workloads, distributed systems, and research
Meetup Talks
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Speaker: Paul Whalen Senior Staff Software Engineer @ PEAK6 Capital Management
Abstract: Paul shares practical lessons from building Postgres-centric applications using Claude Code, highlighting strengths, limitations, and strategies for effective agentic development. The session offers actionable insights and open discussion for developers working with AI-assisted coding workflows.
Slides: Early-Learnings-Building-Apps-on-Postgres-in-the-Claude-Code-Era
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Speaker: Shaun Thomas, Principal Software Engineer at pgEdge:
Abstract: Beyond pgvector, building real AI on Postgres means integrating RAG and MCP to ground LLMs in accurate data and enable safe, actionable workflows. This talk explores how tools from pgEdge help turn Postgres into the core of a complete, production-ready AI stack.
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Speaker: Ryan Booz Solutions Engineer pganalyze
Abstract: This session explores practical techniques for identifying and optimizing slow PostgreSQL queries using tools like
pg_stat_statements,auto_explain, and query logging. It also highlights common query patterns that benefit from rewrites, with hands-on strategies to improve performance.Slides: Slides-And-Query-Examples-Here