Distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, and mission-critical applications. Kafka’s publish-subscribe messaging system handles real-time data feeds at massive scale, providing fault tolerance and durability. Whether you’re building a microservices architecture, tracking user activity, or processing financial transactions, this section offers tutorials, best practices, and deep dives to help you master Kafka’s core components: Producers, Consumers, Brokers, Topics, and Partitions.
Running Apache Kafka in production requires more than just high throughput and availability; it demands robust security. Securing Kafka is a multi-layered process that addresses three core pillars: Encryption (protecting data in transit), Authentication (verifying identity), and Authorization (controlling access permissions). Neglecting any of these layers leaves critical business data […]
In a production Kafka environment, data quality and backward compatibility are not optional, they are critical requirements. Simply serializing data as JSON or raw bytes is a fast track to chaos, especially in microservices architectures where producers and consumers evolve independently. The Confluent Schema Registry provides the solution: a centralized […]