Charts for IOT data

1. Use IoT Core to trigger a rule action: Invoke Lambda or direct putItem on DynamoDB.
2. Lambda will save data into DynamoDB or Keyspaces (Apache Cassandra).
3. Use API Gateway and Lambda to query your data. If you use Keyspaces as a DB, you can use aggregation functions.

For the use case you are describing you can get all the required functionality out-of-the-box by using AWS IoT SiteWise. AWS IoT SiteWise is a fully managed service providing aggregation of the streamed data and visualization components, either via the managed monitor or via the IoT AppKit components that can be embedded in your own application.

You can ingest data into Sitewise from IoT Core using IoT Rules, or if you have industrial data sources you can use a SiteWise Gateway.

To learn-by-doing you can run this workshop

If you would nevertheless prefer building your own solution, I would suggest the following services:

• AWS IoT Core for data ingestion
• Amazon Timestream for data storage and data aggregation. You can run adhoc queries on Timestream so that you do not have to define the aggregations ahead of time. You can also define scheduled query for the most commonly used aggregation to reduce cost.
• Managed Grafana for data visualization or any charting library if you want to build your own (CloudScape provide pretty nice components)

• Use AWS IoT Core to collect data from your IoT devices.
• Use AWS IoT Rules Engine to process and forward the data to other AWS services like Amazon Kinesis Data Streams for real-time processing or Amazon S3 for storage.
• Use Amazon DynamoDB for storing time-series data, which is suitable for IoT data.

For data visualization, you can use Amazon QuickSight or a custom web application using popular JavaScript charting libraries like Chart.js, D3.js, or Highcharts. You can query the pre-aggregated data from the chosen data store to display it on the charts.