Become a pro Solutions Architect with this comprehensive book, featuring generative AI strategies, real-world examples, and updated design patterns to build and optimize scalable cloud systems, while preparing for certifications.
Key Features
- Master AWS fundamentals through advanced topics, including GenAI and Agentic AI
- Real-world examples, practical guidance, and case studies
- Aligned with the latest AWS trends and certifications for career growth
Book Description
AWS for Solutions Architects, Third Edition is your essential guide to thriving in the fast-evolving AWS ecosystem. As a Solutions Architect, staying ahead of the latest technologies and managing complex cloud migrations can be a challenge—this book addresses those pain points head-on. Covering everything from foundational concepts to cutting-edge technologies like GenAI and MLOps, it provides expert strategies to help you design, implement, and optimize cloud solutions that meet real-world business demands.
With updated insights from the Well-Architected Framework, you'll learn to build sustainable, cost-efficient architectures without compromising performance. Stay ahead of the competition with in-depth coverage of the latest AWS certifications, including AI Practitioner Foundation and Data Engineer Associate, positioning yourself as a leader in cloud innovation. The book also tackles critical cloud security concerns, offering updates on security groups, storage classes, and gateways.
By the end, you'll transform into a solutions architecture expert, ready to handle any cloud challenge. Don't get left behind—elevate your career with this indispensable resource.
Pre-order now and be among the first to master the strategies, tools, and certifications for cloud success.
What you will learn
- Master AWS fundamentals and advanced patterns, including sustainability
- Implement migration strategies with real-world examples and case studies
- Gain expertise in GenAI, MLOps, AIOps, and Mobile Edge Computing
- Optimize performance and handle errors in cloud-native applications
- Prepare for new AWS certifications, including AI and Data Engineering
- Apply best practices for security, compliance, and AWS Learning Badges
- Explore updated Well-Architected Framework with the six pillars
- Dive deep into new storage options and security group configurations
Who this book is for
This book is for application and enterprise architects, developers, operations engineers, and certification aspirants seeking to master AWS architectural patterns, best practices, and advanced techniques for building scalable, secure, highly available, fault-tolerant, and cost-effective cloud solutions. Prior coding knowledge isn’t required, but experience in software architecture design is helpful.
Table of Contents
- Understanding AWS Cloud Principles and Key Characteristics
- Understanding AWS well-architected framework and getting certified
- Leveraging the Cloud for Enterprise Transformation
- AWS networking and content delivery
- Storage in AWS – Choosing the Right Tool for the Job
- Harnessing the Power of Cloud Computing
- Selecting the Right Database Service
- Best Practices for Application Security and Compliance in AWS
- Dive efficiency with Cloud Operation Automation and DevOps in AWS
- Data Engineering in AWS
- Machine Learning and Generative AI in AWS
- Data Lake Patterns – Integrating Your Data across the Enterprise
- Microservice and Event-Driven Architectures
- Building cost aware architecture in AWS
- Hands-On guide to build app in AWS
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 technologies, 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 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 evangelizes and enables AWS customer and partners in AWS database, analytics, and machine learning services. She sets the product vision and cultivates new products in incubation. Before AWS, Neelanjali led teams of software engineers, solutions 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 R&D, focusing on enterprise application management, cloud service management, and orchestration.
