Book Image

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
Book Image

Solutions Architect's Handbook

By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Becoming a solutions architect gives you the flexibility to work with cutting-edge technologies and define product strategies. This handbook takes you through the essential concepts, design principles and patterns, architectural considerations, and all the latest technology that you need to know to become a successful solutions architect. This book starts with a quick introduction to the fundamentals of solution architecture design principles and attributes that will assist you in understanding how solution architecture benefits software projects across enterprises. You'll learn what a cloud migration and application modernization framework looks like, and will use microservices, event-driven, cache-based, and serverless patterns to design robust architectures. You'll then explore the main pillars of architecture design, including performance, scalability, cost optimization, security, operational excellence, and DevOps. Additionally, you'll also learn advanced concepts relating to big data, machine learning, and the Internet of Things (IoT). Finally, you'll get to grips with the documentation of architecture design and the soft skills that are necessary to become a better solutions architect. By the end of this book, you'll have learned techniques to create an efficient architecture design that meets your business requirements.
Table of Contents (18 chapters)

A/B testing

Often, in software development, it isn't clear which implementation of a feature will be most successful in the real world. An entire computer science discipline—Human/Computer Interaction (HCI)—is devoted to answering this question. While UI experts have several guidelines to help them design suitable interfaces, often, the best choice of design can only be determined by giving it to users and seeing whether they can use the design to complete a given task.

As shown in the following diagram, A/B testing is a testing methodology in which two or more different versions of features are given to different sets of users. Detailed metrics on the usage of each implementation are gathered, and UI engineers examine this data to determine which implementation should be adopted going forward:

Split users by feature experiment using A/B testing

It's easy to launch several different versions of your application, each containing different implementations of a new...