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Cloud 2024

IoT Device Management Demo

Eclipse Mosquitto + InfluxDB

Developed IoT platform demo showcasing modern device management patterns. System implements MQTT 5.0 message broker (Eclipse Mosquitto) for device communication, device shadow synchronization for offline-first operation, InfluxDB time-series storage for sensor telemetry, OTA firmware update mechanism with delta compression. Demonstrates X.509 certificate-based device authentication, bi-directional MQTT pub/sub for commands/telemetry, edge computing patterns. React dashboard for real-time device monitoring with WebSocket updates. Supports smart home and industrial IoT use cases.

10+ simulated
Devices
1K+ tested
Messages/Sec
MQTT 5.0
Protocol
InfluxDB 2.7
Storage
X.509 + mTLS
Auth
Offline-first
Shadow
01

The Challenge

IoT requires device provisioning, firmware updates, telemetry processing, remote control. MQTT protocol complex with QoS levels. Device shadow pattern needed for offline-first. Time-series storage for sensor data. Security critical: X.509 certificates, mTLS. OTA firmware updates need delta compression. Real-time monitoring dashboard requires WebSocket.

02

The Solution

Built IoT demo with Eclipse Mosquitto MQTT broker, device shadow sync pattern, InfluxDB time-series storage. X.509 certificate-based device authentication. OTA update mechanism with delta compression. React dashboard with real-time WebSocket updates. Python device simulator. Demonstrates production IoT patterns for smart home and industrial use cases.

Technology Stack

MQTT 5.0
Eclipse Mosquitto
InfluxDB 2.7
Python 3.11+
Node.js 20
React 18
TypeScript 5.x
PostgreSQL 16
Redis 7.2
Docker 24.0
Docker Compose
Socket.io
Grafana
OpenSSL (X.509)
Paho MQTT (Python)
03

Architecture

  • Eclipse Mosquitto MQTT 5.0 broker for device messaging
  • Device shadow pattern: desired vs reported state synchronization
  • X.509 certificate-based authentication with mTLS encryption
  • OTA firmware update mechanism with delta compression
  • InfluxDB 2.7 time-series storage for sensor telemetry
  • Real-time WebSocket dashboard with React 18 updates
  • Rule engine for threshold-based alerting
  • Python device simulator with Paho MQTT client
  • Docker Compose orchestration: Mosquitto + InfluxDB + Node.js + PostgreSQL
  • Grafana integration for time-series visualization
04

Key Features

01
Eclipse Mosquitto MQTT 5.0 broker with QoS 0/1/2 support
02
X.509 certificate-based device authentication with mTLS encryption
03
Device shadow pattern: desired vs reported state synchronization
04
OTA firmware update mechanism with delta compression
05
InfluxDB 2.7 time-series storage for sensor telemetry
06
Real-time monitoring dashboard with React 18 and WebSocket
07
Python device simulator publishing temperature, humidity, pressure
08
Rule engine for threshold-based alerting (e.g., temperature > 80°C)
09
Device provisioning workflow with certificate generation
10
MQTT retained messages for last-known-good state
11
Docker Compose deployment: Mosquitto + InfluxDB + Node.js + React
12
Grafana integration for time-series visualization
05

Results & Impact

  • Eclipse Mosquitto MQTT 5.0 broker with QoS 0/1/2 support
  • Device shadow pattern for offline-first synchronization
  • X.509 certificate-based device authentication with mTLS
  • InfluxDB 2.7 time-series storage for sensor telemetry (1-second granularity)
  • OTA firmware update mechanism with delta compression
  • Real-time monitoring dashboard with React 18 and WebSocket
  • Python device simulator publishing telemetry via MQTT
  • Tested with 10+ simulated devices and 1K+ messages/sec

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