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Solutions Architect's Handbook

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
4.2 (20)
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Solutions Architect's Handbook

Solutions Architect's Handbook

4.2 (20)
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)
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Technology selection for performance optimization

In Chapter 6, Solution Architecture Design Patterns, you learned about various design patterns, including microservice, event-driven, cached-based, and stateless. An organization may choose a combination of these design patterns depending on their solution's design needs. You can have multiple approaches to architecture design depending on your workload. Once you finalize your strategy and start solution implementation, the next step is to optimize your application. To optimize your application, you need to collect data by performing load testing and defining benchmarking as per your application's performance requirements.

Performance optimization is a continuous improvement process, one in which you need to take cognizance of optimal resource utilization from the beginning of solution design to after the application's launch. You need to choose the right resources as per the workload or tweak the application and infrastructure...

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