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{ "item_title" : "Mastering Edge Computing & IoT", "item_author" : [" Alira Vexel "], "item_description" : "Mastering Edge Computing & IoT: Build Scalable Raspberry Pi Clusters, ESP32 Devices & Low-Power Networks for the Modern EdgeThe cloud is no longer enough. In an era where intelligence must happen in real time, Mastering Edge Computing & IoT equips you with the technical depth, tools, and hands-on frameworks to design, deploy, and automate powerful edge systems that operate closer to the data - faster, smarter, and more securely.This definitive 2025 guide bridges embedded hardware, edge orchestration, and intelligent networking into one cohesive engineering roadmap. You'll build scalable Raspberry Pi clusters, program ESP32 sensor networks, integrate TinyML inference, and deploy IaC-driven automation with Terraform, Ansible, and K3s - all through reproducible labs and complete full-stack projects.From first boot to fully autonomous edge environments, this book provides everything you need to architect real-world IoT and edge infrastructures ready for industrial, environmental, or research-grade deployment.What You'll Build and LearnConfigure and cluster Raspberry Pi 5 and CM4 nodes for high-availability edge workloads.Program ESP32-S3 devices with MicroPython and secure OTA pipelines.Deploy K3s, Docker, and Helm to orchestrate containerized IoT services at the edge.Build data pipelines using MQTT, InfluxDB v3, Telegraf, and Grafana 11 for real-time analytics.Implement Edge AI and TinyML inference with TensorFlow Lite, ONNX Runtime, and MicroTVM.Secure your ecosystem with Zero-Trust patterns, mTLS, and device identity management.Automate everything using Terraform 1.9+, Ansible 10+, and CI/CD pipelines.Each chapter includes a fully tested Practice Lab, while the final section delivers a complete end-to-end Smart Edge Environment Monitor project - unifying sensors, clusters, analytics, and AI in a production-ready design.Who This Book Is ForEngineers, developers, and homelab builders seeking to master modern edge architectures. Whether you're automating smart buildings, deploying AI at the edge, or building low-power IoT systems, this book serves as your practical blueprint for achieving real-time intelligence without the cloud.This is the most complete, future-ready guide for professionals who want to control, secure, and scale the intelligent edge - from device to data to decision.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/827/398/9798273984851_b.jpg", "price_data" : { "retail_price" : "27.00", "online_price" : "27.00", "our_price" : "27.00", "club_price" : "27.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mastering Edge Computing & IoT|Alira Vexel

Mastering Edge Computing & IoT : Build Scalable Raspberry Pi Clusters, ESP32 Devices & Low-Power Networks for the Modern Edge

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Overview

Mastering Edge Computing & IoT: Build Scalable Raspberry Pi Clusters, ESP32 Devices & Low-Power Networks for the Modern Edge

The cloud is no longer enough. In an era where intelligence must happen in real time, Mastering Edge Computing & IoT equips you with the technical depth, tools, and hands-on frameworks to design, deploy, and automate powerful edge systems that operate closer to the data - faster, smarter, and more securely.

This definitive 2025 guide bridges embedded hardware, edge orchestration, and intelligent networking into one cohesive engineering roadmap. You'll build scalable Raspberry Pi clusters, program ESP32 sensor networks, integrate TinyML inference, and deploy IaC-driven automation with Terraform, Ansible, and K3s - all through reproducible labs and complete full-stack projects.

From first boot to fully autonomous edge environments, this book provides everything you need to architect real-world IoT and edge infrastructures ready for industrial, environmental, or research-grade deployment.

What You'll Build and Learn
  • Configure and cluster Raspberry Pi 5 and CM4 nodes for high-availability edge workloads.
  • Program ESP32-S3 devices with MicroPython and secure OTA pipelines.
  • Deploy K3s, Docker, and Helm to orchestrate containerized IoT services at the edge.
  • Build data pipelines using MQTT, InfluxDB v3, Telegraf, and Grafana 11 for real-time analytics.
  • Implement Edge AI and TinyML inference with TensorFlow Lite, ONNX Runtime, and MicroTVM.
  • Secure your ecosystem with Zero-Trust patterns, mTLS, and device identity management.
  • Automate everything using Terraform 1.9+, Ansible 10+, and CI/CD pipelines.

Each chapter includes a fully tested Practice Lab, while the final section delivers a complete end-to-end Smart Edge Environment Monitor project - unifying sensors, clusters, analytics, and AI in a production-ready design.

Who This Book Is For

Engineers, developers, and homelab builders seeking to master modern edge architectures. Whether you're automating smart buildings, deploying AI at the edge, or building low-power IoT systems, this book serves as your practical blueprint for achieving real-time intelligence without the cloud.

This is the most complete, future-ready guide for professionals who want to control, secure, and scale the intelligent edge - from device to data to decision.

This item is Non-Returnable

Details

  • ISBN-13: 9798273984851
  • ISBN-10: 9798273984851
  • Publisher: Independently Published
  • Publish Date: November 2025
  • Dimensions: 11 x 8.5 x 0.79 inches
  • Shipping Weight: 1.96 pounds
  • Page Count: 384

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