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)

Data classification

One of the best practices is to classify your data, which provides a way to categorize and handle organizational data based on levels of sensitivity. According to data sensitivity, you can plan data protection, data encryption, and data access requirements.

By managing data classification as per your system's workload requirements, you can create the data controls and level of access needed for the data. For example, content such as a user rating and review is often public, and it's fine to provide public access, but user credit card information is highly sensitive data that needs to be encrypted and put under very restricted access.

At a high level, you can classify data into the following categories:

  • Restricted data: This contains information that could harm the customer directly if it got compromised. Mishandling of restricted data can damage a company's reputation and impact a business adversely. Restricted data may include customer Personally Identifiable...