Table of contents
Edge Computing
AWS Greengrass allows devices to process data locally without relying on cloud resources, reducing latency and ensuring continued operation even with intermittent connectivity.
Seamless AWS Integration
Seamlessly integrates with a variety of AWS services such as AWS Lambda, AWS IoT Core, and Amazon S3, allowing for enhanced functionality and simplified data exchange between edge devices and the cloud.
Security Features
Offers robust security features, including data encryption for both in-transit and at-rest data, ensuring secure communication and data storage.
OTA Updates
Provides over-the-air software updates, allowing developers to deploy new updates and patches to edge devices securely and efficiently.
Machine Learning at the Edge
Supports ML inference capabilities, enabling machine learning models to run locally on devices, which is essential for real-time data processing and decision-making.
We have collected here some useful links to help you find out if AWS Greengrass is good.
Check the traffic stats of AWS Greengrass on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of AWS Greengrass on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of AWS Greengrass's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of AWS Greengrass on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about AWS Greengrass on Reddit. This can help you find out how popualr the product is and what people think about it.
In this blog post series, we will demonstrate how to use AWS IoT Greengrass and Hashicorp Nomad to seamlessly interface with multiple interconnected devices and orchestrate service deployments on them. Greengrass will allow us to view the cluster as a single "Thing" from the cloud perspective, while Nomad will serve as the primary cluster orchestration tool. - Source: dev.to / about 2 years ago
AWS IoT Greengrass allows one to manage their IOT Edge devices, download ML models locally, so that inference can then be also be done locally. - Source: dev.to / about 3 years ago
To assist in deployment and management of workloads in your fleet, it's worth taking advantage of a fleet or device management tool such as AWS GreenGrass, Formant or Rocos. - Source: dev.to / over 3 years ago
In some cases, such as with edge devices, inferencing needs to occur even when there is limited or no connectivity to the cloud. Mining fields are an example of this type of use case. AWS IoT Greengrass enables ML inference locally using models that are created, trained, and optimized in the cloud using Amazon SageMaker, AWS Deep Learning AMI, or AWS Deep Learning Containers, and deployed on the edge devices. - Source: dev.to / over 3 years ago
Take a look at Greengrass https://aws.amazon.com/greengrass/ Enables OTA updates and fleet management. Source: about 4 years ago
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Is AWS Greengrass good? This is an informative page that will help you find out. Moreover, you can review and discuss AWS Greengrass here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
