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Kafka Summit NYC 2019

Streaming platforms at massive scale.

April 2, 2019 | New York City

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Tracing for Kafka-Based Applications: Making Sense of Your Event-Driven Dataflows

Session Level: Intermediate

Contrary to RPC-like applications, where communication and dependencies are explicitly defined between Services; data flowing between Event-Driven Applications is defined by how do they react to and emit events. A trade-off between Data-flow explicitness and Service autonomy becomes apparent between this two architectural-styles. The goal in this presentation is to demonstrate how Distributed-Tracing can help to cope with this trade-off, turning messaging exchange between decoupled, autonomous, Event-Driven Services, into explicit Data-flows. Zipkin project brings a Distributed-Tracing infrastructure that enables the collection, processing, and visualization of traces produced by RPC-based, as well as messaging-based applications.

This presentation includes demonstrations on how to enable Tracing for Kafka Streams applications, Kafka Connectors, and KSQL; evidencing how implicit Services behavior and communication through the event-log become can become explicit via Distributed-Tracing. But collecting and visualizing traces is just the first step. In order to create insights from tracing-data, models has to be built to enable an better understanding from the system, and improve our operational capabilities. Including research-based experiences from Netflix[1] and Facebook[2] on how tracing-data has been processed and polished with multiple purposes, this presentation will cover how service-dependency analysis and anomaly-detection models can be built on top of it.


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