This is an outdated edition, and we have a new third edition live covering real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best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 Description
The 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 for
This 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
- 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
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 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 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.
Alberto Artasanchez is a solutions architect with expertise in the cloud, data solutions, and machine learning. His career spans 28+ years in various industries. He is an AWS Ambassador and frequently publishes in various cloud and data science publications. Alberto is often tapped as a speaker on topics such as 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. 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.
