Microservices with Kafka

Explore an alternative approach to microservices using event-driven architecture with Kafka in this 41-minute conference talk from Devoxx. Dive into the world of scalability, fault tolerance, and distributed logging as László Róbert Albert and Dan Balescu demonstrate how to overcome communication challenges in data-intensive, agile business environments. Learn about Kafka's role as a distributed messaging system, offering fast, scalable, and redundant message exchange through a publish-subscribe model. Discover how to implement microservices effectively, covering topics such as monolithic applications, banking examples, Kafka's cost and performance, producer and consumer APIs, message transformation, filtering, and logging. Gain insights into handling large-scale systems and improving overall application performance using Kafka-based microservices architecture.

Introduction
About Romania
Monolithic Applications
Banking Example
Halo Example
Twitter Netflix LinkedIn
Kafka Cost
Kafka Performance
Challenges
Kafka Producer
Kafka Producer API
Logging
Consumer Factory
Message Transformation
Filtering
Forward Dispatch
Replay Feature
Message size
Logging performance
Kafka is very performant
Conclusion