Solutions Architect's Handbook - Second Edition: Kick-start your career as a solutions architect by learning architecture design principles and strate. This item is unavailable.Solutions Architect's Handbook - Second Edition: Kick-start your career as a solutions architect by learning architecture design principles and strate

Third edition out now with coverage on Generative AI, clean architecture, edge computing, and more

Key Features

• Turn business needs into end-to-end technical architectures with this practical guide
• Assess and overcome various challenges while updating or modernizing legacy applications
• Future-proof your architecture with IoT, machine learning, and quantum computing

Book Description

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.

What you will learn

• Explore the various roles of a solutions architect in the enterprise landscape
• Implement key design principles and patterns to build high-performance cost-effective solutions
• Choose the best strategies to secure your architectures and increase their availability
• Modernize legacy applications with the help of cloud integration
• Understand how big data processing, machine learning, and IoT fit into modern architecture
• Integrate a DevOps mindset to promote collaboration, increase operational efficiency, and streamline production

Who this book is for

This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals.

Existing solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills.

To get started, you'll need a good understanding of the real-world software development process and general programming experience in any language.

Table of Contents

1. The Meaning of Solution Architecture
2. Solution Architects in an Organization
3. Attributes of the Solution Architecture
4. Principles of Solution Architecture Design
5. Cloud Migration and Hybrid Cloud Architecture Design
6. Solution Architecture Design Patterns
7. Performance Considerations
8. Security Considerations
9. Architectural Reliability Considerations
10. Operational Excellence Considerations
11. Cost Considerations
12. DevOps and Solution Architecture Framework
13. Data Engineering for Solution Architecture
14. Machine Learning Architecture
15. The Internet of Things Architecture
16. Quantum Computing
17. Rearchitecting Legacy Systems
18. Solution Architecture Document
19. Learning Soft Skills to Become a Better Solution Architect

Saurabh Shrivastava is a technology leader, author, inventor, and public speaker with over 18 years of experience in the IT industry. He currently works at Amazon Web Services (AWS) as a Global Solutions Architect Leader and enables global consulting partners and enterprise customers on their journey to the cloud. Saurabh led the AWS global technical partnerships, set his team's vision and execution model, and nurtured multiple new strategic initiatives. Saurabh has authored various blogs and whitepapers across a diverse range of technology such as big data, IoT, machine learning, and cloud computing. He is passionate about the latest innovations and their impact on our society and daily life. He holds a patent in the area of cloud platform automation. Before AWS, Saurabh worked as an enterprise solution architect, software architect, and software engineering manager in Fortune 50 enterprises, start-ups, and global product and consulting organizations. Neelanjali Srivastav is a technology leader, product manager, agile coach, and cloud practitioner with over 16 years of experience in the software industry. She currently works at Amazon Web Services (AWS) as a Senior Product Manager and enables global customers on their data journey to the cloud. Neelanjali evangelize and enable AWS customer and partners in AWS Database, Analytics, and Machine Learning Services. She set the product's vision and cultivated new products incubation. Before AWS, Neelanjali led teams of software engineers, solution architects, and systems analysts to modernize IT systems and develop innovative software solutions for large enterprises. Neelanjali has held multiple roles in the IT services industry and the R&D space, focusing on enterprise application management, cloud service management, and orchestration areas. Kamal Arora is an inventor, author, and technology leader with more than 15 years of IT experience. He currently works at Amazon Web Services and leads a diverse team of highly experienced solutions architects who enable global consulting partners and enterprise customers on their journey to cloud. Kamal has also led the creation of biggest global technical partnerships, set his team's vision and execution model, and incubated multiple new strategic initiatives. He's passionate about the latest innovations in the cloud and the AI/ML space, and their impact on our society and daily-life.