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.
Apache Kafka Connect is a framework for streaming data between Apache Kafka and other data systems. Unlike writing custom Producer or Consumer code, Connect operates as a scalable, fault-tolerant service that manages the tedious details of integration, such as parallelism, offset management, and error handling. It allows developers to focus […]
Apache Kafka is the indispensable backbone for modern data architectures, underpinning everything from microservices communication to real-time analytics. While its capabilities are vast, getting a local setup running and understanding the basic command-line interface (CLI) tools is the crucial first step. This guide will walk you through a quick installation […]
Apache Kafka is designed for resilience, but in a production environment, performance degradation and failure are inevitable without robust monitoring and a solid error-handling strategy. This guide moves past the basics, focusing on the practical tools and metrics required to keep your Kafka cluster healthy and your data streams flowing […]
Apache Kafka Streams is a client-side library for building applications and microservices that process and analyze data stored in Kafka topics. It combines the simplicity of writing and deploying standard Java/Scala applications with the power of Kafka’s immutable log, enabling sophisticated stream processing with native fault tolerance and scalability. KStream […]
For developers and analysts accustomed to the relational world, processing real-time data streams often presents a steep learning curve. ksqlDB (formerly KSQL) bridges this gap, acting as a streaming database built on top of Apache Kafka. It allows you to query, analyze, and transform data streams using a simple, SQL-like […]