Must‑Know Message Broker Patterns: Outbox, CQRS, Saga & More

Yo yo, welcome back to the Bazai channel.
In this video we break down the must‑know message broker patterns you’ll actually use in production: Transactional Outbox, CQRS, CQRS with Event Sourcing, Saga, and Competing Consumers. You’ll see how the transactional outbox pattern solves the dual‑write problem by writing business data and outgoing events in the same database transaction, then relaying them safely to the broker.
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We then walk through CQRS, where commands update a write model and events flow through the broker to build read‑optimized views, and how event sourcing turns every state change into an append‑only event stream that doubles as your audit log. After that, we break down the Saga pattern for long‑running, multi‑service workflows, using local transactions plus compensating actions instead of fragile distributed transactions.
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Finally, we look at the competing consumers pattern, where multiple workers pull from the same queue to handle spikes in load and scale horizontally just by adding more consumers. If you’re building microservices, AI agents, or any event‑driven architecture on Kafka, RabbitMQ, or SQS, this episode gives you a reusable mental model for choosing the right pattern under real‑world constraints.