Our team attended the AWS re:Invent in Las Vegas.
Here is a list of the main announcements that were made during the event:
- General availability of AWS Well-Architected Custom Lenses, a new feature of the AWS Well-Architected Tool that lets us bring our own best practices to complement the existing framework based on customer's industry, operational plans, and internal processes.
- Announced preview for AWS Migration Hub Refactor Spaces. A new capability of AWS Migration Hub to ease refactoring existing applications into distributed applications, typically based on microservices.
- A new pillar for the Well-Architected Framework. The Sustainability Pillar contains questions aimed at evaluating the design, architecture, and implementation of your workloads to reduce their energy consumption and improve their efficiency.
- New EC2 instance types including Graviton3, Trainium, and M1 Mac compute. The most interesting one of these was the C7g, a new EC2 instance powered by Graviton3, the latest of the custom ARM-based silicon processor.
- Announced preview for AWS IoT RoboRunner for Building Robot Fleet Management Applications. AWS IoT RoboRunner is a new robotics service that makes it easier for enterprises to build and deploy applications that help fleets of robots work seamlessly together.
- Introduced Amazon Braket Hybrid Jobs. Set up, monitor, and efficiently run hybrid quantum-classical workloads to confidently execute your algorithms quickly and predictably, with on-demand priority access to QPUs.
- New AWS Scholarship Program. This program helps Underrepresented and Underserved Students Prep for Careers in AI and ML. The AWS AI & ML Scholarship program is launching as part of the all-new AWS DeepRacer Student service and Student League.
- Now in Preview – Amazon SageMaker Studio Lab, a Free Service to Learn and Experiment with ML. AWS launched a free service that enables anyone to learn and experiment with ML without needing an AWS account, credit card, or cloud configuration knowledge.
- Introduced Karpenter, an Open-Source High-Performance Kubernetes Cluster Autoscaler. New open-source project helps improve your application availability and cluster efficiency by rapidly launching right-sized compute resources in response to changing application loads.