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)

Applying autoscaling

You learned about autoscaling in Chapter 4, Principles of Solution Architecture Design. You learned about predictive autoscaling and reactive autoscaling in the section titled Design for scale. The concept of autoscaling became popular with the agility provided by the cloud computing platform. Cloud infrastructure allows you to easily scale up or scale down your server fleet based on user or resource demand.

With a public cloud platform such as AWS, you can apply autoscaling at every layer of your architecture. In the presentation layer, you can scale the web server fleet based on your requests, and at the application layer based on the server's memory and CPU utilization. You can also perform scheduled scaling if you know the traffic pattern when the server load is going to increase. At the database level, autoscaling is available for relational databases such as Amazon Aurora Serverless and the Microsoft Azure SQL database. A NoSQL database such as Amazon DynamoDB...