About the Book
This is an outdated edition, and we have a new third edition live covering real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best practices.
Key Features
Comprehensive guide to automating, networking, migrating, and adopting cloud technologies using AWS
Extensive insights into AWS technologies, including AI/ML, IoT, big data, blockchain, and quantum computing to transform your business.
Detailed coverage of AWS solutions architecture and the latest AWS certification requirements
Book DescriptionThe second edition of AWS for Solutions Architects provides a practical guide to designing cloud solutions that align with industry best practices. This updated edition covers the AWS Well-Architected Framework, core design principles, and cloud-native patterns to help you build secure, high-performance, and cost-effective architectures.
Gain a deep understanding of AWS networking, hybrid cloud connectivity, and edge deployments. Explore big data processing with EMR, Glue, Kinesis, and MSK, enabling you to extract valuable insights from data efficiently. New chapters introduce CloudOps, machine learning, IoT, and blockchain, equipping you with the knowledge to develop modern cloud solutions.
Learn how to optimize AWS storage, implement containerization strategies, and design scalable data lakes. Whether working on simple configurations or complex enterprise architectures, this guide provides the expertise needed to solve real-world cloud challenges and build reliable, high-performing AWS solutions.What you will learn
Optimize your Cloud Workload using the AWS Well-Architected Framework
Learn methods to migrate your workload using the AWS Cloud Adoption Framework
Apply cloud automation at various layers of application workload to increase efficiency
Build a landing zone in AWS and hybrid cloud setups with deep networking techniques
Select reference architectures for business scenarios, like data lakes, containers, and serverless apps
Apply emerging technologies in your architecture, including AI/ML, IoT and blockchain
Who this book is forThis book is for application and enterprise architects, developers, and operations engineers who want to become well versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, highly tolerant, and cost-effective solutions in the cloud. Existing AWS users are bound to learn the most, but it will also help those curious about how leveraging AWS can benefit their organization. Prior knowledge of any computing language is not needed, and there’s little to no code. Prior experience in software architecture design will prove helpful.
Table of Contents:
Table of Contents
Understanding AWS Cloud Principles and Key Characteristics
Understanding AWS Well Architected Framework and Getting Certified
Leveraging the Cloud for Digital Transformation
Networking in AWS
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, Identity, and Compliance
Driving Efficiency with CloudOps
Big Data and Streaming Data Processing in AWS
Data Warehouses, Data Queries, and Visualization in AWS
Machine Learning, IoT, and Blockchain in AWS
Containers in AWS
Microservice Architectures in AWS
Data Lake Patterns – Integrating Your Data across the Enterprise
Hands-On Guide to Build Apps in AWS
About the Author :
Saurabh Shrivastava is an accomplished technology leader and author with more than two decades of experience in the IT industry. He is currently a global solutions architect leader at AWS, where he helps AWS customers and partners on their cloud journeys. Saurabh has also led the global technical partnerships team at AWS, playing a key role in launching several strategic initiatives and AWS agentic AI services.
In addition to his work at AWS, Saurabh is the co-author of Packt's best-selling book Solutions Architect's Handbook, and has authored several blogs and whitepapers on various topics, such as advanced analytics, generative AI, machine learning, and cloud computing. He is passionate about the latest innovations and how they can impact our daily lives. Saurabh holds a patent in cloud platform automation and has worked as an enterprise solutions architect, software architect, and software engineering manager in Fortune 50 enterprises, start-ups, and global product and consulting organizations. With his vast experience and expertise, Saurabh is a valuable resource for anyone looking to learn about cloud computing and its various applications. Neelanjali Srivastav has extensive experience in the software industry as a technology leader, product manager, and agile coach, and she brings a wealth of knowledge to the field. Currently, she leads the IT and security portfolio at Aya Healthcare. Before that, she worked as senior product manager at AWS, where she evangelized and guided AWS customers and partners in AWS database, analytics, and machine learning services.
Neelanjali is also the co-author of Packt's best-selling book Solutions Architect's Handbook, which is a valuable resource for those looking to kick-start their careers as solutions architects. With her experience leading teams of software engineers, solutions architects, and systems analysts to modernize IT systems and develop innovative software solutions for large enterprises, Neelanjali is well equipped to provide insights into the challenges and opportunities in the field.
Neelanjali's expertise in enterprise application management, agile coaching, cloud service management, and orchestration makes her a sought-after speaker and thought leader in the industry. She is dedicated to helping others learn and grow in their careers, and her contributions to the field are sure to make a lasting impact. Alberto Artasanchez is a solutions architect with expertise in the cloud, data solutions, and machine learning, with a career spanning over 28 years in various industries. He is an AWS Ambassador and publishes frequently in a variety of cloud and data science publications. He is often tapped as a speaker on topics including data science, big data, and analytics. He has a strong and extensive track record of designing and building end-to-end machine learning platforms at scale. He also has a long track record of leading data engineering teams and mentoring, coaching, and motivating them. He has a great understanding of how technology drives business value and has a passion for creating elegant solutions to complicated problems. Imtiaz (Taz) Sayed leads the Worldwide Data Analytics Solutions Architecture community at AWS. He is a Principal Solutions Architect, and works with diverse customers engaging in thought leadership, strategic partnerships and specialized guidance on building modern data platforms on AWS. He is a technologist with over 20 years of experience across several domains including distributed architectures, data analytics, service mesh, databases, and DevOps.
