AWS Greengrass

Local compute, messaging, data caching, sync, and ML inference capabilities for connected devices.

Run IoT applications seamlessly across the AWS cloud and local devices using AWS Lambda and AWS IoT Core.

Learn more about AWS Greengrass ML Inference, now generally available. Click here.

AWS Greengrass is software that lets you run local compute, messaging, data caching, sync, and ML inference capabilities for connected devices in a secure way. With AWS Greengrass, connected devices can run AWS Lambda functions, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet. Using AWS Lambda, Greengrass ensures your IoT devices can respond quickly to local events, use Lambda functions running on Greengrass Core to interact with local resources, operate with intermittent connections, stay updated with over the air updates, and minimize the cost of transmitting IoT data to the cloud.

ML Inference is a feature of AWS Greengrass that makes it easy to perform machine learning inference locally on Greengrass Core devices using models that are built and trained in the cloud.

AWS Greengrass seamlessly extends AWS to devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. With Greengrass, you can use familiar languages and programming models to create and test your device software in the cloud, and then deploy it to your devices. AWS Greengrass can be programmed to filter device data and only transmit necessary information back to the cloud. AWS Greengrass authenticates and encrypts device data at all points of connection using the security and access management capabilities of AWS IoT Core. This way, data is never exchanged between devices when they communicate with each other and the cloud, without proven identity.

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Respond to Local Events in Near Real-time

AWS Greengrass devices can act locally on the data they generate so they can respond quickly to local events, while still using the cloud for management, analytics, and durable storage. The local resource access feature allows Lambda functions deployed on Greengrass Core devices to use local device resources like cameras, serial ports, or GPUs so that device applications can quickly access and process local data.

Operate Offline

AWS Greengrass lets connected devices operate even with intermittent connectivity to the cloud. Once the device reconnects, Greengrass synchronizes the data on the device with AWS IoT Core, providing seamless functionality regardless of connectivity.

Secure Communication

AWS Greengrass authenticates and encrypts device data for both local and cloud communications, so that data is never exchanged between devices and the cloud without proven identity. Greengrass uses the same security and access management you are familiar with in AWS IoT Core, with mutual device authentication and authorization, and secure connectivity to the cloud.

Simplified Device Programming with AWS Lambda

AWS Greengrass uses the same AWS Lambda programming model you use in the cloud, so you can develop code in the cloud and then deploy it seamlessly to your devices. Greengrass lets you execute Lambda functions locally, reducing the complexity of developing embedded software.

Reduce the Cost of Running IoT Applications

With AWS Greengrass you can program the device to filter device data locally and only transmit the data you need for your applications to cloud. This reduces the amount of raw data transmitted to the cloud and lowers cost, and increases the quality of the data you send to the cloud so you can achieve rich insight at a lower cost.

How It Works

AWS Greengrass lets you build IoT solutions that connect different types of devices with the cloud and each other. Devices that run Linux and support ARM or x86 architectures can host the Greengrass Core. The Greengrass Core enables the local execution of AWS Lambda code, messaging, data caching, and security.

Devices running AWS Greengrass Core act as a hub that can communicate with other devices that are running Amazon FreeRTOS or have the AWS IoT Device SDK installed. These devices could vary in size, from smaller micro-controller based devices to large appliances.

AWS Greengrass Core devices, AWS IoT Device SDK-enabled devices, and Amazon FreeRTOS devices can be configured to communicate with one another in a Greengrass Group. If the Greengrass Core device loses connectivity to the cloud, devices in the Greengrass Group can continue to communicate with each other over the local network. A Greengrass Group may represent one floor of a building, one truck, or an entire mining site.


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