Embedded RESTful APIs for IoT with AWS: From Embedded Systems to AWS Services

Alright, let me ask you something...

Do you know what a RESTful API is?

If you do, awesome, you’re already ahead of the game.

But if not… let me paint a picture for you.

Picture this: you’ve got a bunch of IoT devices out there, sensors, microcontrollers, the whole works, monitoring crucial equipment, collecting data, and maybe even keeping an eye out for potential issues. And every time something happens, these devices need to do more than just log data. They need to trigger a series of actions automatically:

• Log the issue in a cloud database.
• Alert specific teams with real-time notifications.
• Open a support ticket for immediate follow-up.
• Update a dashboard for managers to track in real-time.

Here’s the thing: RESTful APIs aren’t just about sending data from Point A to Point B. They’re about creating an organized, reliable, and secure system where every endpoint has a purpose, every request is trackable, and every action flows smoothly.

Imagine creating a RESTful API that uses AWS services like:

• API Gateway to control and secure access,
• DynamoDB to store and manage large volumes of IoT data,
• AWS Lambda to handle automated actions and notifications.

With a RESTful API, you can do more than just send data. You can make your devices trigger notifications, open tickets, update dashboards, and even allow users to adjust settings or delete data remotely. All through a single, well-structured API that YOU design and control.

1. The “Magic” Behind RESTful APIs
   Ever wonder why RESTful APIs have become one of the main standards for web and IoT communication? We’ll break down the core principles of REST—statelessness, resource-based URLs, and client-server models—and why these are game-changers for scalable, efficient APIs.
2. The of HTTP Methods for IoT
   You’vPower e heard of GET and POST. But why stop there? You’re going to learn how to wield HTTP methods like GET, POST, PUT, and DELETE to make your devices do exactly what you want—whether it’s reading sensor data, sending updates, or managing devices remotely.
3. Data Structuring with JSON
   We’ll dive into JSON, the universal data format that makes API communication smooth and reliable. You’ll learn how to structure your IoT data, send it across the web, and ensure it’s easy to read and process.
4. Error Handling and Status Codes: Communication Clarity
   Ever get an error and have no clue what it means? Say goodbye to that frustration. You’ll learn how to use status codes effectively, handle errors like a pro, and keep your devices communicating smoothly—even when things go wrong.
5. API Security (Keeping the Bad Guys Out): Want to make sure only authorized devices can access your API? We’ll cover API keys, HTTPS, and rate limits—everything you need to lock down your data and keep it safe from unauthorized access.

Hands-On Learning with Real-World Applications

This course isn’t about watching videos and memorizing concepts. It’s about building a real IoT monitoring system from scratch, with a fully functional RESTful API backend powered by AWS.

Here’s what you’ll be doing:

• Developing the STM32 drivers and aws client for Wi-Fi connectivity to send data directly to the cloud.
• Configuring AWS API Gateway to control access and manage all incoming requests.
• Implementing AWS DynamoDB database to store and manage data from your IoT devices.
• Writing AWS Lambda functions to handle automated workflows, notifications, and actions triggered by incoming data.