![]() ![]() That goal is achieved through many brokers working together at the same time, communicating and coordinating with each other.Ī Kafka cluster groups together one or more brokers. The broker is responsible to send, receive, and store messages into the disk.Ī single broker is not enough to ensure Kafka can handle a high-throughput of messages. ![]() When you want to run Kafka, you need to start its broker: a simple instance of Kafka running on a machine, just like any other server. Let’s break down those concepts in more detail. A Brief Overview of Apache KafkaĪpache Kafka is a distributed streaming platform that utilizes the publish/subscribe message pattern to interact with applications, and it’s designed to create durable messages. Prerequisites: Java 8+, an internet connection, and a free Okta developer account. ![]() In this tutorial, you’ll learn the basic concepts behind Apache Kafka and build a fully-functional Java application, capable of both producing and consuming messages from Kafka. Apache Kafka is one of the most effective tools for handling those high throughput environments. ![]() Today’s users expect your app to be accessible from their computer, mobile phone, tablet, or any other device! This transition to Software as a Service (SaaS) as the norm requires developers to effectively integrate with robust tools that scale to handle thousands (or even millions) of requests every second. ![]()
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