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2025-02-27 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Servers >
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What is AWS IoT Greengrass?
AWS IoT Greengrass is software that extends cloud capabilities to local devices. The software enables devices to collect and analyze data closer to the information source, respond to local events independently, and communicate securely with each other on the local network. AWS IoT Greengrass developers can use the AWS Lambda function and pre-built connectors to create serverless applications that can be deployed to the device for local execution.
AWS IoT Greengrass enables customers to build IoT devices and application logic. Specifically, AWS IoT Greengrass provides cloud-based management of the application logic running on the device. Locally deployed Lambda functions and connectors are triggered by local events and messages from the cloud or other sources.
In AWS IoT Greengrass, devices can securely communicate and exchange messages on the local network without having to connect to the cloud. AWS IoT Greengrass provides a local publish / subscribe message manager that intelligently buffers messages in the event of a lost connection, allowing inbound and outbound messages to be retained in the cloud.
AWS IoT Greengrass protects user data:
Through secure device authentication and authorization. Through a secure connection on the local network. Between the local device and the cloud.
AWS IoT Greengrass provides secure, wireless software updates for Lambda functions.
AWS IoT Greengrass contains the following:
Software distribution
AWS Greengrass core software
AWS Greengrass Core Development Kit
Cloud servic
AWS IoT Greengrass API
Function
Lambda Runtime
Shadow implementation
Message manager
Group management
Discovery service
Wireless Update Agent
Local resource access
Machine learning reasoning
Local key Manager
AWS IoT Greengrass core software
The AWS Greengrass core software provides the following features:
AWS Greengrass core instances are configured by creating and updating AWS IoT Greengrass API defined by AWS IoT Greengrass groups stored in the cloud.
Native support for AWS Lambda
AWS IoT Greengrass includes support for AWS Lambda. With AWS IoT Greengrass, you can run AWS Lambda functions on your device to execute code quickly.
Native support for AWS IoT device shadow
AWS IoT Greengrass also includes various functions of AWS IoT device shadow. The device shadow can cache the state of the device, just like the virtual version or "shadow" of each device, it can track the current and target state of the device, and synchronize the state with the cloud when the connection is available.
Send and receive local messages
AWS IoT Greengrass supports sending and receiving messages between AWS IoT Greengrass Core and devices on the local network that use AWS IoT Greengrass SDKs, and can easily communicate even without an AWS connection. With AWS IoT Greengrass, your device can process messages according to the business rules you define and deliver them to another device or cloud.
Local resource access
The AWS Lambda function deployed on AWS IoT Greengrass Core can access local resources connected to the device. This allows you to use serial ports, USB peripherals (such as additional security devices, sensors and actuators), onboard GPU, or local file systems to quickly access and process local data.
AWS IoT Greengrass ML Inference
AWS IoT Greengrass ML Inference is a feature of AWS IoT Greengrass that can easily perform machine learning reasoning locally on AWS IoT Greengrass devices using models built and trained in the cloud. This means that applications that use machine learning reasoning will not incur data transfer costs and will not increase latency. To learn more about ML Inference features, click here.
AWS IoT Greengrass connector
With AWS IoT Greengrass connectors, you can discover and import, configure, and deploy applications and services at the edge without knowing different device protocols, administrative credentials, or interacting with external API. You can also simply reuse the common business logic from one AWS IoT Greengrass device to another. To learn about the available AWS IoT Greengrass connectors, please refer to our documentation.
Wireless update
AWS IoT Greengrass supports updating AWS IoT Greengrass Core software on AWS IoT Greengrass devices. You can use the AWS IoT Greengrass console, API, or command line interface to update the version of AWS IoT Greengrass Core running on your device to deploy security updates, bug fixes, and new features for AWS IoT Greengrass.
Hardware ecosystem
Many of the industry's leading IoT chip suppliers, operating system and gateway partners have integrated AWS IoT Greengrass into their software and hardware products, and AWS has been expanding the choice of these partners. These partners can help you convert ideas into samples and then into actual deployments more quickly. To learn more about devices that support AWS IoT Greengrass, visit AWS Partner Device Catalog.
AWS IoT Greengrass Secrets Manager
AWS IoT Greengrass Secrets Manager supports the secure storage, access, rotation, and management of a variety of confidential information at the edge, including device credentials, keys, end nodes, and configurations. AWS IoT Greengrass Secrets Manager is fully integrated with AWS IoT Greengrass connectors. If the AWS IoT Greengrass connector requires confidential information to authenticate an application or service, you can select a confidential information and deploy it to AWS IoT Greengrass Core as part of the connector configuration.
Hardware security integration
AWS IoT Greengrass provides customers with the option of storing device private keys on hardware security elements. You can use AWS IoT Greengrass Secrets Manager to store sensitive device information at the edge and use private keys to encrypt confidential information for trust root security. For a list of qualified hardware partners, please visit AWS Partner Device Catalog.
Use case video processing
AWS IoT Greengrass can be deployed on connected devices such as surveillance cameras, electronic police, body cameras and medical imaging devices to help them predict locally. With AWS IoT Greengrass, you can deploy and run machine learning models such as facial recognition, object detection and image density directly on your device. For example, electronic police can count bicycles, vehicles and pedestrians passing through intersections and detect when traffic signals need to be adjusted to optimize traffic flow and ensure personnel safety.
Retail and Hotel
Retailers, cruise companies and amusement parks are investing in Internet of things applications to provide better customer service. For example, you can run an object detection model in an amusement park to track the number of visitors. Cameras can locate tourists and maintain mobile statistics locally without having to send a large number of video feeds to the cloud. Sending video sources to the cloud is often challenging given the limited bandwidth of the Internet. The solution can predict the waiting time of popular theme park amusement facilities and help improve the customer experience.
Security.
Surveillance camera manufacturers are looking for new ways to make devices more intelligent and automate threat detection. AWS IoT Greengrass can help improve the function of the surveillance camera. IoT Greengrass-enabled cameras continuously scan buildings for changes in the scene, such as visitors, and send alerts. The camera can quickly perform scene detection analysis locally and send data to the cloud only when needed, for example, to perform further analysis to determine whether the visitor is a family member.
Precision agriculture
Agriculture is facing two major disruptions. First, with the continuous growth of the world population, the demand for food exceeds the output. Second, climate change leads to unpredictable weather conditions, affecting crop yields. AWS IoT Greengrass can help transform agricultural practices and bring new value to customers. IoT Greengrass-powered cameras installed in greenhouses and farms can process images of plants and crops, as well as data from sensors in the soil, not only to detect environmental anomalies such as changes in temperature, humidity and nutrition levels, but also to trigger alerts.
Predictive industrial maintenance
As the pricing pressure increases, manufacturers are looking for newer ways to help improve the operational efficiency of the factory floor. Delay in problem detection on the manufacturing pipeline can lead to a waste of time and resources. AWS IoT Greengrass can help you detect equipment failures and factory floor problems early. Industrial gateways supported by IoT Greengrass can continuously monitor sensor data (such as vibration, noise levels), predict anomalies and take relevant measures (such as sending reminders or turning off power) to minimize losses.
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