How to Build Golang TCP Server Application with Kafka Stream

Description

Apache Kafka is a distributed streaming platform. What exactly does that mean?

A streaming platform has three key capabilities:

Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system.

Store streams of records in a fault-tolerant durable way.

Process streams of records as they occur.

Kafka is generally used for two broad classes of applications:

Building real-time streaming data pipelines that reliably get data between systems or applications

Building real-time streaming applications that transform or react to the streams of data

To understand how Kafka does these things, let's dive in and explore Kafka's capabilities from the bottom up.

First a few concepts:

Kafka is run as a cluster on one or more servers that can span multiple datacenters.

The Kafka cluster stores streams of records in categories called topics.

Each record consists of a key, a value, and a timestamp.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. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.Confluent develops and maintains a Go client for Apache Kafka that offers a producer and a consumer. This library provides capabilities to produce to and consume from Kafka topics using Go.

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