Open Source Eating The World | Scaling Postgres 408

In this episode of Scaling Postgres, we discuss how open source is eating the world, mitigating plan flips, migrating from Heroku to RDS, and how work_mem is a trap.

Content Discussed

• The MySQL Shadow
• Plan flips
• Migrating Argos from Heroku to AWS
• work_mem: it's a trap!
• Validating the shape of your JSON data
• Using Patroni to Build a Highly Available Postgres Cluster—Part 1: etcd
• pg_ducklake Blog
• Production query plans without production data
• How moving one word can speed up a query 10–50x
• From proposal to PR: how to contribute to the new CloudNativePG extensions project
• The Dilemma of the ‘AI DBA’
• AI Features in pgAdmin: Configuration and Reports
• AI Features in pgAdmin: The AI Chat Agent
• New Presentation: The Wonderful World of WAL
• Building a High-Performance Postgres Time Series Stack with Iceberg
• Ctrl-C in psql gives me the heebie-jeebies
• Just Use Postgres
• Using Rust and Postgres for everything: patterns learned over the years
• The Part of PostgreSQL We Discuss the Most — 1
• The Part of PostgreSQL We Discuss the Most — 2
• Reading data from PostgreSQL into Oracle
• Thinking of PostgreSQL High Availability as Layers
• Beyond Features: What a PostgreSQL Strategy Discussion Taught Me About Calm, Modern Platforms
• PostgreSQL Berlin March 2026 Meetup
• Why Adding More Indexes Eventually Makes Things Worse
• Shaping SQL in São Paulo
• The Future of Postgres on the agenda: EDB’s PGConf.dev Preview
• SCaLE23x
• Looking back at Techshow London 2026
• Contributions for week 9, 2026
• Commercial PostgreSQL distributions with TDE (3) Cybertec PostgreSQL EE (1) Setup
• The Hidden Costs of Table Partitioning at Scale The Hidden Costs of Table Partitioning at Scale
• The IIoT PostgreSQL Performance Envelope The IIoT PostgreSQL Performance Envelope
• Why IoT Data Breaks Traditional Databases (and What to Do Instead)
• From MQTT to SQL: A Practical Guide to Sensor Data Ingestion
• From 4 Databases to 1: How Plexigrid Replaced InfluxDB and Got 350x Faster Queries with Tiger Data
• Supabase Storage: major performance, security, and reliability updates
• Log Drains: Now available on Pro

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Podcast Audio