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

Combining different application styles


We have talked a lot about different application styles. Now let's see how we can combine different styles to create a cohesive application:

In the preceding diagram, we have mixed the microservices style and the API endpoint style along with the Distributed processing style.

We can mix any number of application styles in any way or form as long as you, as an Architect of the system, are comfortable, and confident that the system will be able to fulfill the underlying requirements.

Having talked about the Application Styles, it is now time to dig a bit deeper and look at some of the Architectural Patterns we should be aware of.