Monotone

Embeddable Cloud-Native Key-Value Storage For Sequential Data.

Internet of Things (IoT)CMIT

Abstract

Monotone is an open-source Internet of Things (IoT) project. Embeddable Cloud-Native Key-Value Storage For Sequential Data. Monotone is a modern embeddable data storage designed from the ground up precisely for sequential workloads, such as append write and range scans. It is built using C. Key capabilities include: Automatic Range Partitioning; Transparent Compression; Transparent Encryption. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building an Internet of Things (IoT) mini project or final-year project.

1. Introduction

Monotone is a modern embeddable data storage designed from the ground up precisely for sequential workloads, such as append write and range scans.

Using Monotone, you can create high-performance serverless solutions for storage and processing data directly within your application.

Sequential workloads are at the foundation of the following use cases: IoT, events, time series, crypto, blockchain, finance, monitoring, logs collection, and Kafka-style workloads.

2. Objective

Embeddable Cloud-Native Key-Value Storage For Sequential Data.

This project demonstrates how C can be applied to a real-world Internet of Things (IoT) problem.

3. Key Features / Modules

  • Automatic Range Partitioning
  • Transparent Compression
  • Transparent Encryption
  • Multiple Storages
  • Data Tiering
  • Bottomless Storage

4. Technology Stack

C
  • gcc (recommended) or clang

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • Arduino IDE / PlatformIO or a C compiler (gcc)
  • Target board where applicable
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/pmwkaa/monotone.git
cd monotone

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Add a mobile dashboard using Blynk or Firebase
  • Store readings in a cloud database for history charts
  • Add alerts via SMS / Telegram when thresholds are crossed

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which microcontroller / board and sensors are used and why?
  2. How does the device send data (Wi-Fi, MQTT, HTTP, Bluetooth)?
  3. Where is the sensor data stored and visualised?
  4. How is power consumption managed?
  5. How would you secure the device and its communication?

9. Source Code & License

This project is developed by pmwkaa and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.

View Source on GitHubDownload ZIP

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