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Section 1: What Apache Kafka is

Apache Kafka is a distributed streaming platform that provides

a high-throughput, low-latency way to move data between applications.

It is a publish-subscribe messaging system that can be used for a wide

variety of use cases, from collecting sensor data to building real-time

analytics. While Kafka has been around for quite some time now, it’s not

well known among software developers and engineers. In this post, we’ll take a look at

what Apache Kafka is and how it can help you build more streamlined systems.

Download the first chapter of Apache Kafka Ebook

Section 2: Apache Kafka’s properties

Apache Kafka is a distributed streaming platform that provides

a high-throughput, low-latency way to move data between applications.

Why use Apache Kafka?

Apache Kafka’s use cases range from large-scale distributed analytics systems like  streaming analytics and AI.

to deployment toolkits and distributed applications in the Hadoop ecosystem. Apache Kafka can support several different

databases, including NoSQL databases, in a distributed, sharded environment.

Perhaps most importantly, Kafka’s scalable architecture means it can be deployed on a server,  or  as a  network

multiple times (the main cluster being replicated across nodes and all nodes in a sub-cluster having  their own replica set). As you can imagine,

such distributed architecture can provide significant cost and throughput savings.

How to get started with Kafka

To get started with Kafka, you’ll need to install it on your server. While installing Kafka, you’ll also need to configure a cluster to create a group of machines that you’ll use for implementing your Kafka cluster. Here’s how to do that.

On your Linux server, install and enable the Apache Kafka software:

apt-get install apache2 libapache2-mod-kafka libapache2-common libapache2-connect-criteria-agent libapache2-stream-connect-plugin-cdp8 libapache2-stream-connect-plugin-djbdp1 libapache2-stream-connect-plugin-imagelist libapache2-stream-connect-plugin-mingw-sasl libapache2-stream-connect-plugin-nxauth-agent

On your Windows server, set up the Apache Kafka executable:

C:\Program Files\Apache\apache-kafka-2.5.0-win32-windows-msvc\bin

C:\Program Files\Apache\apache-kafka-2.5.

Common use cases for Kafka

Apache Kafka isn’t just a messaging system. It offers a broad set of useful features, including:

Node- and remote-discovery,

Reader and Writer connections,

Cache and other performance optimizations,

Consensus and reliability,

Read-write locks, and

Ability to partition and distribute the messaging system.

We’ll look at each of these features and some of the more common use cases for Kafka.

Node- and remote-discovery

The basic concept of node- and remote-discovery is to configure Kafka so that it uses the network to find out about new clients connecting to it, rather than relying on the client or its communication with the upstream cluster. In other words, Kafka is not trying to connect to everything all the time.


In the last three articles, we’ve walked through setting up a test environment for your production app. We’ve covered a number of different tools and technologies, including web applications, continuous integration, Docker, and more.

All in all, the experience I had with creating and testing these applications has been extremely satisfying. The workflow is rapid, and the continuous integration and delivery engines have enabled us to release features consistently.

The tools we’re using are mature, and the ease of use makes working on the UX part of these apps enjoyable. For anyone looking to develop for our next mobile phone OS or hyper-scale big data systems, I recommend that they follow our example and take advantage of the tools we’ve put together for ourselves.

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