
Kafka Architecture - GeeksforGeeks
5 days ago · Here, we will explore three common Kafka architectures: Pub-Sub Systems, Stream Processing Pipelines and Log Aggregation Architectures. 1. Pub-Sub Systems. In a publish …
Architecture - Apache Kafka
Kafka Streams builds on fault-tolerance capabilities integrated natively within Kafka. Kafka partitions are highly available and replicated; so when stream data is persisted to Kafka it is …
How does Kafka architecture work? | Redpanda
Learn Kafka cluster architecture patterns, deployment options, and other management considerations. Tutorial included along with common challenges and solutions.
Apache Kafka Architecture Deep Dive - Confluent
An introduction to Kafka's architecture and the design mechanics that support Kafka's powerful, real-time data streaming and integration features.
The Ultimate Guide to Apache Kafka: Basics, Architecture, and …
Mar 10, 2025 · Apache Kafka's architecture revolves around a distributed, fault-tolerant system for handling real-time data streams, featuring key components like producers, consumers, …
Apache Kafka® architecture: A complete guide [2025] - Instaclustr
A complete guide to Apache Kafka Architecture covering all important components like topics, producers, consumers, and brokers.
Apache Kafka - Wikipedia
Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.
Apache Kafka Basics Explained – Topics, Brokers, and Event Streams
Dec 2, 2025 · Your Kafka architecture needs to survive chaos. Start with multi-broker clusters (minimum three brokers), replicate topics across them, and implement proper partition …
Comprehensive Guide to Apache Kafka: Architecture, Use Cases, …
Jan 26, 2025 · Kafka is highly scalable, fault-tolerant, and is widely used for building data pipelines, real-time streaming applications, and log aggregation systems. This blog explores …
Understanding Apache Kafka: A Deep Dive into its Architecture
Apr 29, 2024 · By leveraging concepts such as topics, partitions, brokers, producers, consumers, and replication, Kafka enables organizations to build scalable, fault-tolerant, and real-time data …