Message queues in Postgres Pro: ditching external brokers for true transactional reliability

In the age of distributed systems — where every component must be not just fast, but predictable — the reliability of data exchange becomes mission‑critical. Picture this: a user clicks “Generate Report”, and instantly a dozen processes must fall into sync — from creating the document to emailing it. But what if the mail server is temporarily down? Or the task processor crashes mid‑operation? That’s exactly where message queues step in: they turn a chaotic storm of requests into a controlled stream, ensuring no task goes missing along the way. The story behind creating built‑in queues for PostgreSQL started with a familiar pain: external brokers like RabbitMQ or Kafka — while powerful — introduce complexity. They need dedicated servers, clusters, monitoring, backups… the whole zoo. In enterprise environments with thousands of deployments, every additional component increases operational risk and administrative load. So the question naturally arises: why bolt on a separate broker when t