Category: Apache Kafka

Apache Kafka

Apache Kafka – Introduction 0

Apache Kafka – Introduction

Kafka is a distributed streaming platform used for building real-time data pipelines and streaming applications. It was originally developed by LinkedIn and is now an open-source project under the Apache Software Foundation. Kafka is...

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Kafka – As Messaging System

Kafka is designed for distributed high throughput systems. Kafka tends to work very well as a replacement for a more traditional message broker. In comparison to other messaging systems, Kafka has better throughput, built-in...

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Kafka – Components and Description

Apache Kafka is a distributed event-streaming platform designed to handle high-throughput and fault-tolerant data processing. Below are its key components and their descriptions: 1. Kafka Components 1.1. Topics 1.2. Partitions 1.3. Brokers 1.4. Producers...

Apache Kafka – Producer Consumer Application 0

Apache Kafka – Producer Consumer Application

Apache Kafka – Simple Producer-Consumer Example for Insurance In this example, we’ll set up a Kafka producer and Kafka consumer for a simple insurance system. The producer will simulate sending insurance policy data (e.g.,...

Kafka – Work Flow 0

Kafka – Work Flow

Kafka Messaging: Pub-Sub vs Queue-Based Systems Kafka supports both pub-sub and queue-based messaging systems, offering a fast, reliable, persistent, fault-tolerant, and zero-downtime solution. Producers send messages to a topic, and consumers can choose the...

Apache Kafka – Installation 0

Apache Kafka – Installation

Apache Kafka – Installation and Setup Guide Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications. Below is a step-by-step guide to install and set up...

Apache Kafka – Do we need zookeeper 0

Apache Kafka – Do we need zookeeper

Do we need Zookeeper for a Kafka application? The short answer is: It depends on the version of Kafka you are using. Kafka Versions Prior to 2.8.0 For versions of Apache Kafka prior to...