Selection - IoT Lens


Devices: AWS hardware partners provide production ready IoT devices that can be used as part of you IoT application. Amazon FreeRTOS is an operating system with software libraries for microcontrollers. AWS IoT Greengrass allows you to run local compute, messaging, data caching, sync, and ML at the edge.

Connectivity: AWS IoT Core is a managed IoT platform that supports MQTT, a lightweight publish and subscribe protocol for device communication.

Database: Amazon DynamoDB is a fully managed NoSQL datastore that supports single digit millisecond latency requests to support quick retrieval of different views of your IoT data.

Compute: AWS Lambda is an event driven compute service that lets you run application code without provisioning servers. Lambda integrates natively with IoT events triggered from AWS IoT Core or upstream services such as Amazon Kinesis and Amazon SQS.

Analytics: AWS IoT Analytics is a managed service that operationalizes device level analytics while providing a time series data store for your IoT telemetry.

Review: The AWS IoT Blog section on the AWS website is a resource for learning about what is newly launched as part of AWS IoT.

Monitoring: Amazon CloudWatch Metrics and Amazon CloudWatch Logs provide metrics, logs, filters, alarms, and notifications that you can integrate with your existing monitoring solution. These metrics can be augmented with device telemetry to monitor your application.

Tradeoff: AWS IoT Greengrass and Amazon Kinesis are services that allow you to aggregate and batch data at different locations of your IoT application, providing you more efficient compute performance.