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Solutions Architect's Handbook

Solutions Architect's Handbook - Second Edition

By : Saurabh Shrivastava, Neelanjali Srivastav
4.4 (94)
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Solutions Architect's Handbook

Solutions Architect's Handbook

4.4 (94)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this handbook, you'll have learned the techniques needed to create efficient architecture designs that meet your business requirements.
Table of Contents (22 chapters)
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20
Other Books You May Enjoy
21
Index

Scaling workloads

In the Scalability and elasticity section of Chapter 3, Attributes of the Solution Architecture, you learned about different modes of scaling and how to scale static content, a server fleet, and a database at a high level. Now, let's look at various types of scaling that can be used to handle workload spikes.

Scaling could be predictive if you are aware of your workload, which is often the case; or it could be reactive if you get a sudden spike or if you have never handled that kind of load before.

For example, the following Auto Scaling group has a maximum of six instances and a minimum size of three instances. During regular user traffic, three servers will be up and running to handle the workload, but to handle a traffic spike, the number of servers can reach six. Your server fleet will increase based on the scaling policies you define to adjust the number of instances. For example, you can choose to add one server when CPU utilization goes beyond...

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Solutions Architect's Handbook
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