Product Description
by Saurabh Shrivastava (Author), Neelanjali Srivastav (Author), Dhiraj Thakur (Author)
Master AWS architecture and design secure, scalable, production-ready cloud systems. This practical guide features real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best practices.
Key Features:
- Stay current with hands-on coverage of MLOps, AIOps, and the latest AWS service updates
- Implement migration strategies with real-world examples and enterprise case studies
- Advance your AWS career with certification-aligned insights and exam-ready strategies
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 on top of the latest technologies and managing complex cloud migrations can be challenging, and this book addresses those pain points head-on. Seasoned AWS experts Saurabh Shrivastava, Neelanjali Srivastav, and Dhiraj Thakur bring deep industry insight and hands-on experience to every chapter.
This third edition introduces cutting-edge topics, including Generative AI and MLOps, to keep pace with the evolving cloud landscape and guide you in building AI-driven applications. The book also reflects updates from the AWS Well-Architected Framework and aligns with the latest AWS certifications, making it a future-ready guide for cloud professionals. The chapters help you stay ahead of the competition with in-depth coverage of the latest AWS certifications, including AI Practitioner Foundation and Data Engineer Associate, helping you position yourself as a leader in cloud innovation.
By the end of this book, you'll transform into a solutions architecture expert, equipped with the strategies, tools, and certifications needed to handle any cloud challenge.
What You Will Learn:
- 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 those focused on AI and data engineering
- Apply best practices for security, compliance, and AWS Learning Badges
- Explore the updated Well-Architected Framework with six pillars
- Get in-depth knowledge of 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 looking 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 will be helpful.
Table of Contents
- Understanding AWS Cloud Principles and Key Characteristics
- Understanding the AWS Well-Architected Framework and Getting Certified
- Leveraging the Cloud for Enterprise 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 Cloud Operation Automation and DevOps in AWS
- Data Engineering and Big Data Analytics in AWS
- Machine Learning and Generative AI in AWS
- Data Lake Patterns: Integrating Your Data Across the Enterprise
- Building Microservices and Event-Driven Architecture in AWS
- Hands-On Guide to Building an App in AWS
