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

Communication styles


Communication styles define mechanisms that can be followed for transmitting data from one point to another, usually across the network. At the broad level, there are four different types of Communication styles:

  • Synchronous: Synchronous communication is best suited to scenarios that must guarantee the order in which calls are received or wait for the call to return. When operations depend on the outcome of the previous operation, synchronous communication is the preferred option.
  • Asynchronous: Asynchronous communication is best suited to scenarios in which responsiveness is important or the availability of the target cannot be guaranteed. Asynchronous communication helps in improving perceived latency and performance of the system, it also decouples the system components and helps to achieve loose-coupling. In case the availability of the target in asynchronous communication cannot be guaranteed, patterns such as store and forward can be used to avoid losing messages...