Apache Kafka Architecture Explained | Distributed Messaging at Scale скачать в хорошем качестве

Apache Kafka Architecture Explained | Distributed Messaging at Scale

Kafka is a high-throughput distributed messaging system originally developed by LinkedIn to handle massive volumes of log and event data with very low latency. In this video, we break down Kafka’s unique design philosophy and explain how it differs from traditional enterprise messaging systems. Instead of focusing on heavy delivery guarantees, Kafka prioritises throughput, scalability, and simplicity, making it ideal for real-time data pipelines and large-scale analytics. You’ll learn how Kafka’s pull-based consumer model allows clients to read data at their own pace, why brokers remain largely stateless, and how message tracking is shifted to consumers. We also explore the role of Apache ZooKeeper in coordinating a decentralised cluster, enabling fault tolerance and efficient load balancing. Finally, we discuss Kafka’s performance-oriented optimisations—such as batching messages and leveraging the operating system’s page cache—that allow it to outperform traditional messaging platforms. These innovations power modern internet use cases including search relevance, recommendation systems, security analytics, and large-scale log processing. This video is ideal for backend engineers, data engineers, system design interview preparation, and anyone interested in distributed systems.