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)

Using the right storage for the right need

For decades, organizations have been using a traditional relational database and trying to fit everything there, whether it is key/value-based user session data, unstructured log data, or analytics data for a data warehouse. However, the truth is, the relational database is meant for transaction data, and it doesn't work very well for other data types—it's like using a Swiss Army knife, which has multiple tools that work but to a limited capacity; if you want to build a house, then the screwdriver will not be able to perform a heavy lift. Similarly, for specific data needs, you should choose the right tool that can do the heavy lifting, and scale without compromising performance.

Solution architects need to consider multiple factors while choosing the data storage to match the right technology. Here are the important ones:

  • Durability requirement: How should data be stored to prevent data corruption?
  • Data availability: Which...