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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
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Real-time data ingestion from devices
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Automatic processing via Lambda functions
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Serverless architecture (no EC2 or backend servers)
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Integration with data storage (DynamoDB, S3)
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Event-driven processing for IoT messages
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Scalable and pay-as-you-go infrastructure
Key Features
Feature | Description |
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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 |
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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 |
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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
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Device Connects to IoT Core
Using secure MQTT, the device connects and publishes telemetry to a topic (e.g.,sensor/temperature
). -
IoT Rule Triggers Lambda Function
Based on rules, each incoming message triggers a Lambda function. -
Lambda Processes Data
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Validate or transform the data
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Store it in DynamoDB or S3
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Optionally, send an alert or invoke another service
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Device Shadow Updates (Optional)
Device state is stored and can be updated via Device Shadow for remote control. -
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 |
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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
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X.509 Certificates for device authentication
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IAM policies with least privilege
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Encrypted communication using TLS
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Audit logging via AWS CloudTrail
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Fine-grained topic authorization (device can only publish/subscribe to its own topics)