Innovation and Trends in Cloud Computing
summary
Covers concrete AWS features and outcomes: using Lambda and serverless to cut runtime costs with 100 ms billing, DynamoDB on-demand vs provisioned capacity, Aurora global replication under one-second lag, and Amplify for app stacks. Shows real numbers — ~30 million iRobot units supported, 1 TB per aircraft engine per day for predictive maintenance, 7 PB per Major League Baseball game — and demos SageMaker notebooks and SageMaker hyperparameter tuning that produce deployable models and inference endpoints.
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chapters (18)
- 0:00Start
- 0:58The Paradox of Choice
- 1:38Four Areas of Innovation
- 2:13Application Development
- 2:44Trend about Serverless
- 7:27The Amplifi Framework
- 12:42Netflix
- 17:46Why Do We Build Well Extracted Systems
- 18:10Modern Application Requirements
- 22:12Predictive Maintenance
- 22:52Industrial Internet
- 27:51The First Prime Air Delivery Drone
- 33:19What Is the Role of the Cloud
- 44:44Data Analytics
- 48:25Patterns of Database Use
- 48:56Surveillance Databases
- 49:42Machine Learning Services
- 54:33Hyper Parameters
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