Book Image

Solutions Architect’s Handbook - Second Edition

By : Saurabh Shrivastava, Neelanjali Srivastav
4 (2)
Book Image

Solutions Architect’s Handbook - Second Edition

4 (2)
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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Index

Building an industrial IoT solution

Industrial customers seek to gain insights into their industrial data and achieve outcomes such as lower energy costs, detecting and fixing equipment issues, spotting inefficiencies in manufacturing lines, improving product quality, and improving production output. These customers are looking for visibility into operational technology (OT) data from machines and product life cycles (PLCs) systems for performing Root Cause Analysis (RCA) when a production line or a machine goes down. Furthermore, IoT improves production throughput without compromising product quality by understanding micro-stoppages of machinery in real time.

Data collection and organization across multiple sources, sites, or factories are challenging to build and maintain. Organizations need a consistent representation of all their assets that can be easily shared with users and used to build applications, at a plant, across plants, and at a company level. Data collected and...