What does this AWS Solutions Implementation do?

Amazon Web Services (AWS) offers the Real-Time IoT Device Monitoring with Kinesis Data Analytics solution, a reference implementation that automatically provisions the services necessary to collect, process, analyze and visualize IoT device connectivity and activity data in real-time. This solution is designed to provide a framework for analyzing and visualizing metrics, allowing you to focus on adding new metrics rather than managing the underlying infrastructure.

Version 1.1.2 of the solution uses the most up-to-date Node.js runtime. Version 1.0 uses the Node.js 8.10 runtime, which reaches end-of-life on December 31, 2019. To upgrade to version 1.1.2, you can update the stack. For more information, see the deployment guide.

AWS Solutions Implementation overview


AWS offers a solution that uses AWS IoT to ingest device data, Amazon Kinesis Data Firehose to archive the data, Kinesis Data Analytics to compute metrics in real-time, and Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB to durably store metric data. The solution features a dashboard that visualizes your device connectivity metrics in real-time.

The diagram below presents the components and functionality you can build using the solution implementation guide and accompanying AWS CloudFormation template.

Real-Time IoT Device Monitoring with Kinesis Data Analytics | Architecture Diagram
 Click to enlarge

Real-Time IoT Device Monitoring with Kinesis Data Analytics solution architecture

When AWS IoT ingests data from your connected devices, an AWS IoT rule sends the data to a Kinesis data delivery stream. The delivery stream archives the events in an Amazon S3 bucket and sends the data to a Kinesis Data Analytics application for processing.

The application sends the data to an AWS Lambda function that sends it in real-time to a DynamoDB table to be stored. The application also sends processed data to a second Kinesis data delivery stream which archives it in an Amazon S3 bucket.

The solution also creates an Amazon Cognito user pool, an Amazon S3 bucket, an Amazon CloudFront distribution, and a real-time dashboard to securely read and display the account activity stored in the DynamoDB table.

Real-Time IoT Device Monitoring with Kinesis Data Analytics

Version 1.1.2
Last updated: 12/2019
Author: AWS

Estimated deployment time: 10 min

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Real-Time IoT Device Monitoring with Kinesis Data Analytics reference implementation

Leverage the Real-Time IoT Device Monitoring with Kinesis Data Analytics out of-the-box, or as a reference implementation for building your own IoT device monitoring solution.

Device monitoring dashboard

The solution features a simple dashboard that loads data from Amazon DynamoDB into line charts every 10 seconds and bar charts every minute.

Amazon Kinesis data analytics application

This solution includes an Amazon Kinesis Data Analytics application with SQL statements that compute metrics for the built-in dashboard.

Anomaly detection

The Real-Time IoT Device Monitoring with Kinesis Data Analytics solution leverages the built-in anomaly detection of Amazon Kinesis.
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