Real-time data monitoring with AWS IoT Core and Imply Data
AWS Partner Network Blog
This article discusses using AWS IoT Core and Imply Data to build a real-time analytics application for monitoring and visualizing IoT device data. It covers the following:
- Benefits of sending IoT device data to Imply's Apache Druid system for real-time monitoring
- Overview of the solution architecture using AWS IoT Core, Amazon Kinesis Data Streams/Apache Kafka, and Imply Polaris
- Step-by-step guide to set up the solution:
- Connect IoT devices to AWS IoT Core
- Publish MQTT messages from devices to AWS IoT Core
- Set up IoT rules to route data to Kinesis Data Streams/Apache Kafka
- Ingest data from Kinesis/Kafka into Imply Polaris
- Build dashboards and visualizations in Imply for real-time monitoring
- Embed visualizations into applications using React and Express
- Conclusion highlighting the benefits of the combined solution across industries
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Jul 12
2024
2024
Unlocking Scalable IoT Analytics on AWS
Jun 6
2024
2024
Building Track and Trace applications using AWS IoT Core for Amazon Sidewalk
Jan 14
2026
2026
Real-time fleet tracking using AWS IoT Core, Amazon S3 Tables, and Amazon Quick Sight
Nov 21
2025
2025
AWS IoT Core enhances IoT rules-SQL with variable setting and error handling capabilities
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.