4 min read
The Inbox & Outbox Pattern: Reliable Events with Kafka ๐ฌ
How to stop losing (and duplicating) events when your service writes to a database and Kafka at the same time.
Message BrokerReliabilityArchitecture
Reliability, workers, and the day-to-day craft of shipping backends.
How to stop losing (and duplicating) events when your service writes to a database and Kafka at the same time.
When hand-wiring main.go stops scaling, and what Fx's graph resolution and lifecycle ordering buy you in return.
Practical patterns for retries, idempotency, and observability in Lambda-backed product APIs.
What makes Kafka a distributed log rather than a queue, and when to reach for RabbitMQ or Redis instead.
Practical patterns for safer ingestion, retries, and medallion-style processing on AWS.
A practical checklist for making ingestion, transformation, and reporting pipelines easier to operate.