Amazon Web Services

From Zero to Production with Spring Boot and AWS. All you need to know to get a Spring Boot application into production with AWS. No previous AWS knowledge required. Go to stratospheric.dev for a tour of the contents. (Spanish translation of Stratospheric)

When an attack hits the cloud, the evidence can disappear fast. Forensics in the Cloud shows defenders how to find, preserve and piece together the clues across AWS, Azure, GCP and Oracle Cloud. With practical workflows, code and real-world scenarios, it’s a hands-on guide to uncovering what happened and proving it.

The Guide presents more than 12 domains and shows their interactions, roles and responsibilities in a comprehensive format that can be adapted to your organization no matter its size.It includes more than 60 checklists for auditing activities.Register your copy for a free 2027 version. Details inside the book.

If you are preparing for AWS Cloud Practitioner Exam CLF-C02 this guide will help you with quick revision before the exam.

AWS Amplify Gen 2 lets you build full-stack applications on AWS with a TypeScript-first workflow. This book covers authentication, data modeling, serverless backends, AI integrations, security and deployment through practical examples that help you build production-ready applications faster.

The AWS documentation tells you how every parameter works. It does not tell you which ones matter, what breaks first, or how you will know before your users do. That knowledge is only earned by running these systems at scale. AWS in Production is twenty years of that — Lambda, API Gateway, IAM, DynamoDB, Step Functions, ECS Fargate, KMS, and CloudWatch, in the depth that production systems actually demand. Written by an engineer who has scaled payment infrastructure to 10 million daily transactions and learned every hard lesson that comes after the deployment.

Throughout the book, we use a car-search platform as a unifying example. From ingestingdata about car listings to enriching, it with analytics and providing real-time search results, thisplatform showcases the challenges and opportunities of modern data platforms. By followingits journey, you will gain actionable insights that can be applied to a wide range of domains.Building the software platforms is not just about technology; it’s about solving real-worldproblems with creativity within the given guardrails both financial or engineering. This bookwill be guiding you through every phase of design, implementation, and evolution. Let’s buildthe future of data platforms together.

Building generative AI application is not only about LLM choice and prompt engineering, but also about the well-architected cloud solution.

Master automated workflows for your Python code with GitHub Actions for Python Projects. This practical guide covers automated testing, dependency management, coverage reports, documentation builds, and artifact generation to help you build reliable CI/CD pipelines effortlessly.

Build a hands-on cloud competition from the participant experience upward. Create a local Docker Challenge, an AWS Challenge, and a continuously scored AWS Battle, then deploy them to multiple teams with the open-source TenkaCloud platform.

Deploy Python applications without managing servers. This practical guide takes you from your first serverless function to production-ready architectures on AWS Lambda and Cloudflare Workers using the Serverless Framework. Through real-world examples, proven deployment patterns, and hands-on guidance, you will learn how to build scalable, secure, and cost-effective applications with confidence.

Cloud security is built, not bought. This practical guide goes beyond checklists and compliance to teach the engineering principles behind secure cloud environments. Learn how to design resilient identity systems, protect workloads, secure data, detect threats, and respond to incidents across AWS, Microsoft Azure, and Google Cloud using production-tested techniques and real-world architectures.

Cloud Computing: From Fundamentals to Advanced Concepts is a comprehensive guide that takes you from the basics of cloud computing to advanced topics including virtualization, cloud architecture, cloud security, cloud storage, Service-Oriented Architecture (SOA), cloud governance, benchmarking, analytics, and real-world cloud implementations.Written for BCA, B.Tech, MCA students.

Most writing about AI and infrastructure stops at the demo. This book starts on the day the model is confidently wrong at 3 a.m. and an auditor asks who authorised the action it took. Seven working labs — MCP servers with real identity and audit, closed-loop remediation behind a reversibility gate, and autonomy that can be revoked — for platform engineers in safety-critical and regulated industries.

Building an AI agent demo takes a week. Getting it to production in an enterprise takes a year. This is the battle-tested guide to surviving that year ... covering the IAM policies, networking, data architecture, and cost engineering nobody warns you about.