Edge computing is the process of data near the source of data generation at an edge location rather than centralised cloud based system. An edge location is anywhere that does not have or have limited access to the internet connection or far away from a cloud data centre (e.g. truck on the road, ship on the sea, a mining site under ground). To perform edge computing, you can order an AWS Snowball Edge or AWS Snowcone device to have them embedded at those edge locations.
Use cases of edge computing
- Preprocess data
- Machine Learning at the edge
- Transcode media streams
Edge computing devices can be shipped back to AWS for data transfer to the cloud and access to more cloud services.
Snow Family
All Snow Family devices can run EC2 instances and AWS lambda functions using AWS IoT Greengrass.
- Snowcone & Snowcone SSD
- 2 CPUs, 4GB of RAM, wired or wireless access
- USB powered using a cord or the optional battery
- Snowball Edge Compute Optimized
- 104 CPUs, 416 GB of RAM
- Optional GPU for video processing or Machine Learning
- 28 TB NVMe or 42 TB HDD usable storage
- Snowball Edge Storage Optimized
- Up to 40 CPUs, 80 GB of RAM, 80 TB of storage
Back to parent node: AWS Snow Family
Cloud_computingAWSAWS_CLF-C02AWS_storageAmazon_S3AWS_Snow_Familyedge_computingEC2Snowball_EdgeSnowcone
Reference* - Udemy Ultimate AWS Certified Cloud Practitioner CLF-C02