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Serverless IoT backend using AWS IoT Core + Lambda

Why Choose This Project?

Build a cost-effective, scalable, and fully managed IoT backend** using AWS IoT Core and AWS Lambda — without managing any servers. It enables real-time device communication, processing, and storage. Ideal for smart home systems, environmental monitoring, agriculture sensors, asset tracking, or industrial IoT.

What You Get

  • Real-time data ingestion from devices

  • Automatic processing via Lambda functions

  • Serverless architecture (no EC2 or backend servers)

  • Integration with data storage (DynamoDB, S3)

  • Event-driven processing for IoT messages

  • Scalable and pay-as-you-go infrastructure

Key Features

Feature Description
AWS IoT Core Manages secure communication between IoT devices and AWS
Device Shadows Store and sync device state with the cloud
Rules Engine Routes messages to services like Lambda, S3, DynamoDB
AWS Lambda Processes incoming data without provisioning servers
Real-Time Processing Analyze, transform, or trigger actions as data arrives
DynamoDB Integration Store sensor data, state, or metadata
Alerting and Automation Trigger notifications, workflows, or ML pipelines
End-to-End Security Mutual TLS authentication, IAM policies, and fine-grained access control

Technology Stack

Layer Tools/Technologies
IoT Devices MQTT-capable microcontrollers (e.g., ESP32, Raspberry Pi)
Communication MQTT over TLS
Message Broker AWS IoT Core
Processing AWS Lambda
Data Storage Amazon DynamoDB / Amazon S3
Visualization Amazon QuickSight or custom dashboard
Monitoring CloudWatch, AWS IoT Logs

AWS Services Used

AWS Service Purpose
AWS IoT Core Ingest messages from devices using MQTT
AWS Lambda Run code to process each incoming message
DynamoDB Store device or sensor data
S3 Store logs, firmware updates, or large files
AWS IAM Secure access for devices and services
CloudWatch Monitor and debug messages and Lambda execution
IoT Rules Engine Route messages to services based on conditions

Working Flow

  1. Device Connects to IoT Core
    Using secure MQTT, the device connects and publishes telemetry to a topic (e.g., sensor/temperature).

  2. IoT Rule Triggers Lambda Function
    Based on rules, each incoming message triggers a Lambda function.

  3. Lambda Processes Data

    • Validate or transform the data

    • Store it in DynamoDB or S3

    • Optionally, send an alert or invoke another service

  4. Device Shadow Updates (Optional)
    Device state is stored and can be updated via Device Shadow for remote control.

  5. Monitoring & Logging
    All actions are logged in CloudWatch for visibility.

Example Use Case

Smart Agriculture System

  • Soil moisture sensors send data every minute.

  • IoT Core routes messages to Lambda.

  • Lambda stores data in DynamoDB.

  • If moisture < threshold, trigger alert or automatic irrigation command.

Main Modules

Module Description
IoT Thing Registered device identity in AWS
MQTT Topics Communication channels (e.g., /sensors/temp)
IoT Rules Define actions on incoming data (e.g., call Lambda)
Lambda Functions Stateless processors for device data
Device Shadow Digital twin of physical device (optional)
Data Storage DynamoDB/S3 for long-term storage or analysis
Security Layer IAM, certificates, roles, and policies

Security Features

  • X.509 Certificates for device authentication

  • IAM policies with least privilege

  • Encrypted communication using TLS

  • Audit logging via AWS CloudTrail

  • Fine-grained topic authorization (device can only publish/subscribe to its own topics)

This Course Fee:

₹ 2699 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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