Greengrass
Definition
AWS IoT Edge runtime deploying Lambda functions and ML models to local devices for offline processing and reduced cloud round-trip latency.
Use Cases
- Volkswagen: Factory and production-line data processing to support real-time operational decisions and analytics — Volkswagen has publicly described using AWS for connected manufacturing initiatives; an edge runtime such as AWS IoT Greengrass can be used on on-premises gateways to collect machine/sensor signals, run local logic for low-latency responses, and securely forward selected/aggregated data to AWS for centralized analytics and monitoring. (Enables faster on-site responses (lower latency than cloud-only), reduces bandwidth by filtering/aggregating data locally, and improves visibility into production operations when combined with cloud analytics.)
- Carrier: Connected HVAC equipment monitoring and local control for reliability and service optimization — Carrier has publicly referenced AWS IoT for connected equipment. With an edge runtime like AWS IoT Greengrass, gateways can run local components to normalize telemetry, detect anomalies, and continue operating during intermittent connectivity, then sync summaries and events to the cloud for fleet analytics. (Improves uptime and responsiveness at customer sites, supports predictive maintenance workflows, and lowers cloud ingestion costs by sending fewer, higher-value events.)
- Amazon (Amazon Go / retail operations): Edge processing in retail environments where low latency and local autonomy are required — Amazon has described edge-heavy architectures for retail experiences. A service like AWS IoT Greengrass can be used to manage and deploy local software to store devices, process data on-site, and keep systems functioning even if connectivity is degraded, while still reporting to centralized systems. (Supports low-latency decision-making on premises and improves resilience by allowing local processing when cloud connectivity is limited.)
Provider Equivalents
- AWS: AWS IoT Greengrass
- Azure: Azure IoT Edge
- GCP: Google Distributed Cloud Edge (with IoT integrations)
Frequently Asked Questions
- What's the difference between AWS IoT Greengrass and AWS IoT Core?
- AWS IoT Core is the cloud service that securely connects devices to AWS (device registry, authentication, MQTT messaging, rules). AWS IoT Greengrass is software that runs on your edge devices (gateways/servers) so they can process data and run workloads locally. In many solutions, devices connect to IoT Core for cloud connectivity, while Greengrass runs on-site to handle low-latency processing and local actions.
- When should I use AWS IoT Greengrass?
- Use Greengrass when you need local processing or local control—such as millisecond/second-level responses, operating during intermittent internet connectivity, reducing bandwidth by filtering/aggregating data before sending it to the cloud, or deploying and managing edge applications across many sites. If your devices can send data directly to the cloud and don’t need local logic, IoT Core alone may be enough.
- How much does AWS IoT Greengrass cost?
- Pricing depends on the Greengrass version and what features you use. Costs commonly come from associated AWS services (for example, AWS IoT Core messaging, data transfer, logging/monitoring, and any cloud storage/analytics you use). For Greengrass-specific charges, refer to the AWS IoT Greengrass pricing page and estimate based on number of devices, message volume, and any optional components you deploy.
Category: cloud
Difficulty: advanced
Related Terms
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