Apache Kafkaยฎ๏ธ ๋น์ฉ ์ ๊ฐ ๋ฐฉ๋ฒ ๋ฐ ์ต์ ์ ๋น์ฉ ์ค๊ณ ์๋ด ์จ๋น๋ | ์์ธํ ์์๋ณด๋ ค๋ฉด ์ง๊ธ ๋ฑ๋กํ์ธ์
Event-sourcing systems usage like Kafka is growing rapidly among Node.js applications. Building systems around an event-driven architecture simplifies horizontal scalability in distributed computing models and makes them more resilient to failure. With these advantages, we face new challenges - how to get visibility into these complex processes.
Event-driven architecture is async by nature. Tracking the communication between different components is both extremely difficult and important when debugging or figuring out bottlenecks in the system.
In this talk, I will present ways to achieve end-to-end and granular visibility into complex event-sourcing transactions using distributed tracing. I will use open-source tools like OpenTelemetry, Jaeger, and Zipkin to showcase a complex Node.js system using Kafka.