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Enterprise Development with Raspberry Pi

This book is 90% completeLast updated on 2026-05-14

This book is written by a Raspberry Pi enthusiast, so, it could be hopefully interesting for other Raspberry Pi enthusiasts. Also, as it is about enterprise development, it can be eventually useful for any IT specialist dealing with enterprise applications and services.

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About

About

About the Book

In this book, we are going to check possibilities of using Raspberry PI platform in such a special domain as enterprise development. RPi computers are equipped with ARM processors using RISC instruction set. These processors consume less power and provide a good performance for lightweight tasks. According to resent researches, in some cases, usage of RPi devices can ensure significant power savings. In context of enterprise development, it can be interesting, for example, for implementing micro-service architecture or multi-channel monitoring systems. We will develop several simple example applications, which nevertheless have all features and functionality of real-world enterprise projects.

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Contents

Table of Contents

  • Introduction
  • 1.Development of cloud-native services
    • 1.1 Hardware and OS set-up, development touls
    • 1.2 Project set-up and implementation of the business logic
    • 1.3 Securing applications and services with Keycloak
    • 1.4 Event streaming with Apache Kafka
  • 2.Data Storage and Engineering
    • 2.1 Implementing the enterprise persistence layer with PostgreSQL database
    • 2.2 Data engineering with Raspberry Pi
      • 2.2.1 PySpark installation and set-up
      • 2.2.2 Visitor pull dataingestion and processing
      • 2.2.3 Analytical data visualization with Grafana
      • 2.2.4 Dta clean-up and analysis
  • 3.Raspberry Pi in the Cloud
    • 3.1 Local Kubernetes cluster set-up
    • 3.2 Deploying a SpringBoot application to Kubernetes
      • 3.2.1 Building the application image
      • 3.2.2 Deploying the application to the cluster
    • 3.3 Kubernetes cluster set-up
    • 3.4 Deploying applications to a Kubernetes cluster with Tilt
    • 3.5 Deploying applications to a Kubernetes cluster with Helm charts
    • 3.6 Observability of applications running in Cloud
      • 3.6.1 Monitoring the application metrics with Prometheus
      • 3.6.2 Setting Up Alerts with Prometheus
  • 4.Enterprise development with Quarkus
    • 4.1 Quarkus environment set-up
    • 4.2 The collection application in Quarkus
    • 4.3 Building native executables with Quarkus
  • 5.Development of multi-channel monitoring systems
    • 5.1 Development of the data processing layer
    • 5.2 Inbound (monitoring) communication with physical devices
    • 5.3 Cloud deployment with Quarkus
    • 5.4 Deploying a SpringBoot application to Kubernetes
      • 5.4.1 Hardware Set-Up: Relay Board Connection, Circuit Assembling
      • 5.4.2 Software Set-Up: OS and Library Installation, the Contrul Software Development
    • 5.5 Lightweight messaging with MQTT
  • Conclusion
  • Index

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