IoT Data Pipeline Series

Sensor Fleet: IoT Temperature Monitoring

A hands-on series that turns a practical problem into a full data system. We build Arduino sensors, stream data through MQTT, store and query it in MySQL, and add monitoring, security, and streaming upgrades.

Format

Intro + 6 parts

Best for

IoT + data pipelines

Core stack

Arduino, MQTT, MySQL, Python

Why this series

Build a system you can measure, trust, and extend

This series turns a real-world energy problem into a full data pipeline. It’s equal parts hardware, software, and insight generation — a blueprint for collecting your own dataset and making it useful.

Hardware

Ship sensors fast

Build and deploy temperature sensors on a lean budget.

Pipeline

Stream + store reliably

Move data from MQTT to a database you can analyze.

Insights

Turn readings into decisions

Layer in weather data, dashboards, and monitoring.

Table of contents

Follow the full IoT pipeline

Start with the overview, then progress through each build phase.

  1. Intro

    Sensor Fleet: Overview + Goals

    Why this project matters and what the full system will deliver.

    Read the intro →
  2. Part 1

    Build a sensor, publish data

    Publish temperature data with Arduino, MQTT, and MySQL.

    Read Part 1 →
  3. Part 2

    Grow the fleet, view the data

    Scale the system and add a visualization dashboard.

    Read Part 2 →
  4. Part 3

    Data pipeline, automated

    Automate ingestion and deploy the pipeline on AWS.

    Read Part 3 →
  5. Part 4

    Insight generation with local weather

    Enrich readings with NOAA data for deeper context.

    Read Part 4 →
  6. Part 5

    Address security concerns

    Secure your MQTT broker and web app.

    Read Part 5 →
  7. Part 6

    Streaming with Kafka

    Upgrade the pipeline for real-time streaming workloads.

    Read Part 6 →

Ready to start?

Start with the overview

The intro lays out the system goals, constraints, and the roadmap for each part.

Start the series