Book Image

Mastering Apache Storm

By : Ankit Jain
Book Image

Mastering Apache Storm

By: Ankit Jain

Overview of this book

Apache Storm is a real-time Big Data processing framework that processes large amounts of data reliably, guaranteeing that every message will be processed. Storm allows you to scale your data as it grows, making it an excellent platform to solve your big data problems. This extensive guide will help you understand right from the basics to the advanced topics of Storm. The book begins with a detailed introduction to real-time processing and where Storm fits in to solve these problems. You’ll get an understanding of deploying Storm on clusters by writing a basic Storm Hello World example. Next we’ll introduce you to Trident and you’ll get a clear understanding of how you can develop and deploy a trident topology. We cover topics such as monitoring, Storm Parallelism, scheduler and log processing, in a very easy to understand manner. You will also learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm. With real-world examples and clear explanations, this book will ensure you will have a thorough mastery of Apache Storm. You will be able to use this knowledge to develop efficient, distributed real-time applications to cater to your business needs.
Table of Contents (19 chapters)
Title Page
About the Author
About the Reviewers
Customer Feedback

Chapter 8. Integration of Storm and Kafka

Apache Kafka is a high-throughput, distributed, fault-tolerant, and replicated messaging system that was first developed at LinkedIn. The use cases of Kafka vary from log aggregation, to stream processing, to replacing other messaging systems.

Kafka has emerged as one of the important components of real-time processing pipelines in combination with Storm. Kafka can act as a buffer or feeder for messages that need to be processed by Storm. Kafka can also be used as the output sink for results emitted from Storm topologies.

In this chapter, we will be covering the following topics:

  • Kafka architecture--broker, producer, and consumer
  • Installation of the Kafka cluster
  • Sharing the producer and consumer between Kafka
  • Development of Storm topology using Kafka consumer as Storm spout
  • Deployment of a Kafka and Storm integration topology