AWS re:Invent 2017 | Amazon Web Services
Las Vegas, NOV. 27 – DEC. 1
+ Live streaming
Amazon Web Services presentations channel @SlideShare
- Managed Kubernetes
- Bare metal
- Big customers
- AI and serverless
- Open source
AWS re:INVENT 2017 - Las Vegas - November 27 - December 1, 2017 | TechCrunch
re:Invent 2017 | New Products & Services
Amazon Kinesis Video Streams – Serverless Video Ingestion and Storage for Vision-Enabled Apps | AWS News Blog
AWS re:Invent 2017 Wednesday Announcements
twitch.tv/aws live streaming of launch announcements, discussions, and demos.
Compute
- Run containers without managing servers or clusters with AWS Fargate
- Run managed Kubernetes on AWS with Amazon EKS
- Pause and resume your workloads with Amazon EC2 Spot Instances
- Simplify purchasing for Amazon EC2 Spot Instances
- Run bare metal workloads directly on AWS infrastructure with Amazon EC2 Bare Metal instances
- Run data-intensive big data workloads with Amazon EC2 H1 Instances
- Use Amazon EC2 M5 Instances for a balance of compute, memory, storage and networking
Databases
- Scale out for both reads and writes with Aurora Multi-Master
- Aurora Serverless, an on-demand, auto-scaling, serverless, database
- Provide on-demand and continuous backups with DynamoDB Backup & Restore
- DynamoDB Global Tables deliver a fully managed, multi-master, multi-region non-relational database
- Get started with Amazon Neptune, a fully managed graph database for highly connected data
Machine Learning
- AWS DeepLens – the world’s first wireless, deep learning enabled video camera for developers
- Build applications with fully managed natural language processing using Amazon Comprehend
- Run real-time and batch video analytics with Amazon Rekognition Video
- Easily build, train, and deploy machine learning models with Amazon SageMaker
- Automatically translate text between languages with Amazon Translate
- Use Amazon Transcribe to do automatic speech recognition
Internet of Things
- Enable over-the-air updates and access to local resources with AWS Greengrass
- Leverage enhanced authentication features with AWS IoT Core
- Run Machine Learning at Edge with Greengrass ML Inference
- Securely onboard, organize, monitor, and remotely manage IoT devices at scale with AWS IoT Device Management
- Clean, process, store, and analyze IoT device data with AWS IoT Analytics
- Create an AWS Lambda trigger for any device in one click with AWS IoT 1-Click
- Use AWS IoT Device Defender to define and enforce security policies for fleets of devices
- Introducing Amazon FreeRTOS, an IoT operating system for microcontrollers
