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)
20
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21
Index

Quantum Computing

Quantum technologies are a rapidly growing and interdisciplinary field of science and engineering. Until now, we've depended upon supercomputers to solve most problems, but quantum computing (QC) accelerates complex calculations exponentially, resulting in a very powerful supercomputer. As per quantum physics, a quantum is the smallest unit of any physical property and refers to the properties of atomic particles, such as electrons, neutrinos, and photons. QC can solve computational problems beyond classical computers' reach by utilizing the laws of quantum mechanics to process information in new ways.

QC is a new paradigm in computing that speeds up solutions to complex problems, giving not 10x performance improvement but 10X. This approach to computing could transform chemical engineering, material science, drug discovery, financial portfolio optimization, and machine learning.

QC is still in the research stage, and it may take some years before...