Book Image

Architecting Data-Intensive Applications

By : Anuj Kumar
Book Image

Architecting Data-Intensive Applications

By: Anuj Kumar

Overview of this book

<p>Are you an architect or a developer who looks at your own applications gingerly while browsing through Facebook and applauding it silently for its data-intensive, yet ?uent and efficient, behaviour? This book is your gateway to build smart data-intensive systems by incorporating the core data-intensive architectural principles, patterns, and techniques directly into your application architecture.</p> <p>This book starts by taking you through the primary design challenges involved with architecting data-intensive applications. You will learn how to implement data curation and data dissemination, depending on the volume of your data. You will then implement your application architecture one step at a time. You will get to grips with implementing the correct message delivery protocols and creating a data layer that doesn’t fail when running high traffic. This book will show you how you can divide your application into layers, each of which adheres to the single responsibility principle. By the end of this book, you will learn to streamline your thoughts and make the right choice in terms of technologies and architectural principles based on the problem at hand.</p>
Table of Contents (18 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Samza's stream processing API


Samza, just like Kafka streams, also provides capabilities, in the form of client libraries, to define a graph of independently-executing processing jobs on the incoming stream of events. The way Samza executes these processing jobs is through the use of Apache Yarn. We will talk about Yarn in more detail shortly. In short, YARN (Yet Another Resource Manager) is Hadoop's next-generation resource scheduler. It allows you to allocate a number of containers (processes) in a cluster of machines, and execute arbitrary commands on them.

Samza uses YARN to manage deployment, fault-tolerance, logging, resource isolation, security, and locality. Together with Kafka and Yarn, Samza provides a complete framework where the complete execution is divided into stages and each stage is represented by a Samza job. This is how all these components come together:

  • Samza Client uses YARN to execute Samza jobs
  • YARN starts and supervises one or more Samza containers
  • Samza Job instances...