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

Design principles for architectural reliability

The goal of reliability is to contain the impact of any failure in the smallest area possible. By preparing your system for the worst-case scenarios, you can implement various mitigation strategies for the different components of your infrastructure and applications.

Before a failure occurs, you should thoroughly test your recovery procedures.

The following are the standard design principles that help you to strengthen your system's reliability. You will find that all reliability design principles are closely related and complement each other.

Making systems self-healing

System failure needs to be predicted in advance, and in the case of failure incidence, you should have an automated response for system recovery, called system self-healing. Self-healing is the ability of the solution to recover from failure automatically. A self-healing system detects failure proactively and responds to it gracefully...