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Amazon Web Services (AWS)

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May 1, 2024 Updated May 11, 2025 25 minute read

Amazon Web Services (AWS) is a comprehensive and broadly adopted cloud computing platform, offering over 200 fully featured services from data centers globally. It provides on-demand delivery of IT resources and applications via the internet with pay-as-you-go pricing, meaning users only pay for the specific services they consume, for as long as they use them, without requiring long-term contracts or complex licensing. AWS empowers organizations of all sizes, from startups to large enterprises and government agencies, to build, deploy, and manage applications and services with flexibility, scalability, and reliability.

Working with AWS can be an engaging and exciting prospect for many. The sheer breadth of services available means there's always something new to learn and apply, from launching virtual servers and storing vast amounts of data to exploring cutting-edge fields like artificial intelligence, machine learning, and the Internet of Things (IoT). The dynamic nature of cloud technology ensures that professionals in this space are constantly at the forefront of innovation, solving complex problems and enabling businesses to transform their operations. Furthermore, the high demand for AWS skills in the job market translates into numerous career opportunities and the potential for significant professional growth.

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Reading list

We've selected 32 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Amazon Web Services (AWS).
Is the official study guide for the AWS Certified Developer Associate exam. It covers all the exam topics in depth and provides practice questions and mock exams. It is an essential resource for anyone preparing for the exam.
Is the official study guide for the AWS Certified Solutions Architect exam. It covers all the exam topics in depth and provides practice questions and mock exams. It is an essential resource for anyone preparing for the exam.
Provides a comprehensive introduction to AWS, covering essential services for computing, storing, and networking. It emphasizes best practices for security, high availability, and scalability, making it valuable for gaining a broad understanding. The book includes hands-on projects and is suitable for those new to AWS and cloud concepts.
This study guide is aimed at the professional-level certification and covers advanced topics in designing and deploying fault-tolerant, scalable, and distributed systems on AWS. It's a must-read for experienced professionals seeking to validate their expertise and deepen their understanding of complex AWS architectures.
Focusing specifically on AWS security, this book is crucial for deepening understanding in a critical area of cloud computing. It covers identity management, access control, network security, monitoring, logging, and auditing within AWS. This must-read for anyone responsible for securing AWS environments.
This study guide provides comprehensive coverage of AWS services and architectural patterns, essential for deepening understanding. It includes practical exercises and is commonly used by individuals preparing for the Solutions Architect Associate certification, making it a valuable resource for undergraduate and graduate students, as well as professionals.
Key resource for understanding and implementing serverless architectures on AWS using services like AWS Lambda and API Gateway. It covers patterns, best practices, and operational considerations for building scalable and cost-effective serverless applications.
Explores implementing DevOps principles on AWS, covering continuous integration, continuous deployment, infrastructure as code, and automation. It's essential for professionals looking to deepen their understanding of modern development and operations practices in the AWS cloud. The second edition is more recent and covers updated practices.
Covers the fundamentals of AWS, including core services like EC2, S3, and RDS, as well as advanced topics like security, networking, and data analytics. It is written by experienced AWS practitioners and provides a comprehensive overview of the platform.
Elasticsearch popular open-source search engine. comprehensive guide to Elasticsearch. It covers all aspects of Elasticsearch, from installation to configuration to querying. It valuable resource for anyone who wants to learn how to use Elasticsearch.
Kubernetes popular open-source container orchestration system. practical guide to Kubernetes. It covers all aspects of Kubernetes, from installation to configuration to management. It valuable resource for anyone who wants to learn how to use Kubernetes on AWS.
Provides a comprehensive overview of AWS machine learning services. It covers topics such as data preparation, model training, and model deployment. It valuable resource for anyone who wants to learn how to use AWS machine learning services.
Focuses on implementing machine learning solutions on AWS using various AWS ML services. It's highly relevant for those interested in contemporary topics in AI/ML on the cloud and provides practical guidance for building and deploying ML models on AWS.
Delves into cloud design patterns specifically for AWS, helping readers deepen their understanding of building scalable, redundant, and highly available applications. It's a valuable resource for architects and developers looking to apply best practices in their AWS deployments.
Focuses on designing and building modern data platforms on AWS, covering data lakes, streaming ingestion, processing, and analytics. It's highly relevant for those looking to deepen their understanding of data-centric solutions on AWS and is suitable for graduate students and professionals in data engineering and analytics.
Delves into advanced AWS development topics, including serverless computing and DevOps practices. It's suitable for developers with a solid understanding of AWS fundamentals who want to explore more complex development patterns and tools on the platform.
This cookbook provides recipes for automating release processes, deployment, and continuous integration on AWS. It's a practical guide for implementing automation using various AWS services, relevant for contemporary DevOps practices.
While primarily a certification study guide, this book provides a solid foundational understanding of AWS cloud concepts, core services, security, architecture, pricing, and support. It's a good starting point for those seeking a structured overview and can serve as a textbook for introductory courses.
Modern classic in the field of data systems. While not AWS-specific, the concepts covered regarding data storage, processing, and system design are directly applicable to building data-intensive applications on AWS using services like S3, RDS, DynamoDB, and Kafka. It's a must-read for anyone working with data on the cloud.
Kubernetes critical contemporary technology for container orchestration, and this book leading resource on the topic. While not exclusively AWS, it's highly relevant given the importance of Amazon Elastic Kubernetes Service (EKS). It's essential for understanding containerized application deployment and management in a cloud-native environment.
Another foundational book in the realm of operations and reliability, this book outlines the practices used at Google to ensure highly reliable systems. The principles of SRE are highly relevant to managing and operating applications on AWS at scale. While not AWS-specific, it's a classic for anyone in a cloud operations role.
Beginner-friendly introduction to AWS. It covers the basics of AWS, including core services like EC2, S3, and RDS. It great starting point for anyone new to AWS.
Is specifically designed for individuals without a technical background who want to understand AWS. It covers core services, billing, pricing, security, and compliance in an easy-to-follow manner. It's an excellent resource for business professionals and others needing a non-technical introduction to AWS.
Although an older publication, this book is considered a classic for its early coverage of programming with AWS, particularly focusing on EC2 and other foundational services like S3, SQS, and SimpleDB. While specific APIs may have changed, the fundamental concepts of interacting with AWS programmatically remain relevant.
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