It’s AWS re:Invent. We talk about the “everything” of it, private cloud, and some RC cars. Also, what exactly is a “field CTO”?
AWS Announcements
AWS Launches, Previews, and Pre-Announcements at re:Invent 2018 (https://aws.amazon.com/#Explore_All_Product_Announcements)
Analytics
AWS Lake Formation: Build a secure data lake in days
Amazon Managed Streaming for Kafka (MSK): Fully managed, highly available, and secure Apache Kafka service
Blockchain
Amazon Managed Blockchain: Create and manage scalable blockchain networks
Amazon Quantum Ledger Database (QLDB): Fully managed ledger database
Compute
Amazon EC2 A1 Instances: Optimized for scale-out workloads
Amazon EC2 C5n Instances: Up to 100 Gbps network bandwidth
Amazon EC2 P3dn Instances: Optimized for distributed ML training
AWS Outposts – a new dimension to AWS Cloud (https://aws.amazon.com/blogs/enterprise-strategy/aws-outposts-a-new-dimension-to-aws-cloud/) (Hybrid Cloud with VMware), Run AWS infrastructure on-premises
This is VMware?
Database
Amazon RDS on VMware: Automate on-premises database management
Amazon Quantum Ledger Database (QLDB): Fully managed ledger database
Amazon Timestream: Fully managed time series database
Internet of Things
AWS IoT Events: IoT event detection and response
AWS IoT SiteWise: IoT data collector and interpreter
AWS IoT Things Graph: Easily connect devices and web services
AWS Partner Device Catalog: Curated catalog of AWS-compatible IoT hardware
Lambda
New languages (Ruby (https://aws.amazon.com/blogs/compute/announcing-ruby-support-for-aws-lambda/), C++ (https://aws.amazon.com/blogs/compute/introducing-the-c-lambda-runtime/), Rust (https://aws.amazon.com/blogs/opensource/rust-runtime-for-aws-lambda/)), more coming Erlang, Elixir, Cobol, N|Solid, PHP
https://aws.amazon.com/blogs/aws/new-for-aws-lambda-use-any-programming-language-and-share-common-components/
Announcements are still happening
Machine Learning
Amazon Elastic Inference: Deep learning inference acceleration
Amazon Forecast: Increase forecast accuracy using machine learning
Amazon Personalize: Build real-time recommendations into your applications
Amazon Textract (https://aws.amazon.com/textract/): Extract text and data from documents
AWS Inferentia: Machine learning inference chip
Amazon SageMaker Ground Truth – Build Highly Accurate Datasets (https://aws.amazon.com/blogs/aws/amazon-sagemaker-ground-truth-build-highly-accurate-datasets-and-reduce-labeling-costs-by-up-to-70/)
Amazon SageMaker RL – Managed Reinforcement Learning with Amazon SageMaker (https://aws.amazon.com/blogs/aws/amazon-sagemaker-rl-managed-reinforcement-learning-with-amazon-sagemaker/)
AWS DeepRacer – Go Hands-On with Reinforcement Learning at re:Invent (https://aws.amazon.com/blogs/aws/aws-deepracer-go-hands-on-with-reinforcement-learning-at-reinvent/), (https://aws.amazon.com/blogs/aws/aws-deepracer-go-hands-on-with-reinforcement-learning-at-reinvent/) Autonomous 1/18th scale race car, driven by ML
Machine Learning algorithms and model packages now available in AWS Marketplace (https://aws.amazon.com/blogs/aws/new-machine-learning-algorithms-and-model-packages-now-available-in-aws-marketplace/)
Management Governance
AWS App Mesh: Monitor and control microservices
AWS Cloud Map: Service discovery for cloud resources
AWS Control Tower: Set up and govern a secure, compliant multi-account environment
AWS License Manager: Track, manage and control license usage
Media Services
AWS Elemental MediaConnect: Reliable and secure live video transport
Migration Transfer
AWS DataSync: Simple, fast, online data transfer
AWS Transfer for SFTP: Fully managed SFTP service
Mobile
AWS Amplify: Build and deploy mobile and web applications
Networking Content Delivery
AWS Global Accelerator: Improve application availability and performance
AWS Transit Gateway: Easily scale VPC and account connections
Robotics
AWS RoboMaker: Develop, test, and deploy robotics applications
Satellite
AWS Ground Station: Fully mana
