Reseña del libro "Hands-On AWS IoT for Cloud Engineers (en Inglés)"
Connect devices securely. Keep essential operations running at the edge. Build cloud workflows that can recover when things go wrong. Sending a sensor reading to the cloud is only the beginning. A dependable IoT system also needs trusted device identities, carefully scoped permissions, reliable messaging, and a clear plan for disconnections, failed deployments, and compromised credentials. Hands-On AWS IoT for Cloud Engineers guides you through these challenges with practical explanations and code examples. Follow a temperature-monitoring system as it develops from a direct MQTT client into an integrated device-to-edge-to-cloud platform. Begin with AWS IoT architecture, account preparation, and certificate-based authentication. Learn how to organize topics, publish telemetry, receive commands, and handle reconnection and duplicate messages. Explore Device Shadows for state synchronization and AWS IoT Jobs for controlled remote operations. Then bring processing closer to your devices with AWS IoT Greengrass V2. Install the edge runtime, create custom components, configure local MQTT communication, and apply permissions between components. Discover how bounded buffering and local automation help maintain essential behavior during cloud outages. As your system grows, learn to route telemetry into Lambda, DynamoDB, and Amazon S3. Examine error handling, replay, and idempotent processing so that recovery does not create duplicate side effects. Strengthen your architecture with restricted cloud access, device security monitoring, and a controlled response to compromised devices. Across ten chapters, you will explore how to: * Establish device identities and enforce least privilege. * Build direct messaging, state synchronization, and remote task workflows. * Develop Greengrass components and local edge automation. * Route, store, and recover telemetry across AWS services. * Monitor fleets and introduce staged deployments. * Validate resilience, capacity, and operational readiness. The final capstone brings these ideas together, connecting architecture, implementation, deployment automation, and validation in one coherent system. Written for cloud engineers and developers with basic programming and AWS knowledge, this book explains both how the pieces work and why their boundaries matter. Build the skills to move from a connected-device experiment toward a secure, observable, and recoverable IoT system.
