Amazon Web Services announced a series of cloud-based innovations, including new purpose-built databases, data lake setup service, reinforced learning and deep learning applications in a recent Amazon Web services media masterclass held at Fairmont Makati, Monday.
AWS, standing on a $27 billion run rate, continues to provide cloud computing services with a global infrastructure called the AWS Cloud operating at 60 availability zones within 20 geographic regions with plans to extend their reach to 12 more availability zones across four more regions in Bahrain, Cape Town, Hong Kong SAR, and Milan.
The New Amazon Aurora Global Database enables its users to update a database in a single region, which will then be replicated automatically to other AWS region, improving not only easier data availability, but also disaster recovery while an On-Demand feature has been implemented in the Amazon DynamoDB system that reads/writes capacity provisions which render capacity planning obsolete and customers pay only for the requests they consume.
To help businesses consolidate data and break down data silos that lead to more better decisions, AWS Lake formation was launched, drastically leading the competition by setting up a data lake in matter of days with just a few clicks in a dashboard compared to most companies that take months from preparing storage, running analytics and setting up security and access policies.
The machine learning platform service Amazon SageMaker also had additional machine learning model development capabilities launched, namely, the AWS DeepRacer, which is a 1/18th scale fully autonomous race car and can be supplied with codes that make it fully autonomous and the AWS Marketplace for Machine Learning, where developers can sell their work and use over 150 algorithms and models deployed directly to the Amazon SageMaker.
“For the last 25 to 30 years, computing needs in general, from mainframes to traditional servers, laptops to computers, wearable devices, smartphones and Ipads, the general philosophy has always been that humans have used two senses. We have five senses, but we use two for all our computing needs, touch, and sight. Most computers rely on touch and sight,” said Solutions Architecture Senior Manager Santanu Dutt.
Chick-fil-a, an American fast-food restaurant, incorporates deep learning through the use of Apache MXNet with Amazon SageMaker to measure the freshness of their Waffle Fry and improve their customer’s experience, whereas a new AWS service called AWS RoboMaker provides a Cloud9-based robotics integrated development environment for development of applications, robotics simulations that enhance application testing, and fleet management for remote application deployment, update, and management.
