Devices send messages directly to AWS from FreeRTOS, AWS IoT SDK, or AWS IoT Greengrass for edge computing or communication over industrial protocols. AWS IoT Core ingests data via MQTT, HTTP, or WebSocket. An AWS IoT Rule Action is configured to pick up messages and route them to AWS services like AWS IoT Analytics or non-AWS services supported as real-time targets. AWS IoT Analytics is used to enrich data. Processed datastore messages are stored in a service or usermanaged Amazon S3 bucket. A connector or stream manager in AWS IoT Greengrass can be configured to send high volume data to Amazon Kinesis Data Streams. Or, devices can send messages directly to Kinesis Data Streams using the Kinesis Producer Library. Integrate Kinesis Data Streams with Amazon Kinesis Data Analytics to filter, transform, and aggregate high volume streaming data. For custom logic, Amazon Kinesis Data Streams can integrate with an AWS Lambda function to process data before storing in Amazon Timestream. Data can be exported to time series databases like Timestream as a serverless and scalable database option. Time encoded video data can be sent to Amazon Kinesis Video Streams which can route the video data to other AWS services. Ingest data from persistent data stores like Amazon S3 or Amazon RDS and use AWS Lake Formation to build, secure, and manage your data lake. Amazon QuickSight can consume data directly from AWS IoT Analytics or Timestream to visualize historical data and deliver insights. Install Amazon Timestream plugin for Grafana to query, visualize, and generate alerts on your data using Grafana. Make this data available to your applications or thirdparty applications by creating an Amazon API Gateway that can return data to your user
