Extending Cloud and Transformation to the Edge
summary
Explains AWS solutions for edge computing that combine local processing with the Cloud to support real-time, low-latency use cases. Describes using AWS infrastructure and applications to run AI inference and process and analyze data near its source to reduce data transfer to the Cloud and maintain functionality during connectivity outages.
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chapters (17)
- 0:00Welcome
- 1:33Edge devices and connectivity
- 3:42Greengrass and secure gateways
- 6:49TLS security
- 7:10AI deployment with SageMaker Neo
- 8:36Model management with Edge Manager
- 9:19Predictive monitoring with Lookout
- 10:21Monitron for predictive maintenance
- 11:46Computer vision with Lookout for Vision
- 12:50Real-time analytics overview
- 14:39SiteWise for industrial metrics
- 16:245G and geolocation with Wavelength
- 17:49Snowball Edge for remote sites
- 19:38AWS Outposts for low latency
- 21:22Local Zones for cities
- 22:29Analytics and AI in AWS
- 23:31Resources and closing
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