Kafka

Loose coupling. High throughput. Independent deployments. Everyone knows EDA is scalable — but almost nobody talks about what happens after you ship it to production. Here are the real engineering tradeoffs every Java developer needs to understand.

Explore why LinkedIn outgrew Apache Kafka, the metadata and scaling bottlenecks they hit at 32 trillion events per day, and how their next-gen architecture solves the problem.

Learn how to build a production-grade, life-critical system using Java 21 Virtual Threads and Kafka Idempotency.

Shopify processes some of the highest traffic loads anywhere. Behind the scenes, a streaming event core built on Apache Kafka enables this scale by decoupling services, enabling real-time analytics, and powering machine learning workflows.