Amazon Managed Apache Cassandra Service (MCS), a scalable, highly available, and managed Apache Cassandra–compatible database service, now helps you coordinate increments and decrements to column values by using counters. 

AWS Training and Certification is excited to announce content updates to our Learn the AWS Cloud Practitioner Essentials “trail” on Trailhead by Salesforce. Built by the experts at AWS, this trail is recommended for those who are new to the AWS Cloud or who are looking to build their AWS Cloud skills. It can help learners further explore cloud concepts, AWS services, security, architecture, pricing, and support. This trail also helps you prepare for the AWS Certified Cloud Practitioner exam, which validates overall understanding of the AWS Cloud with an industry-recognized credential that can help grow your career.  

We are excited to announce the launch of AWS Security Essentials, a new one-day, instructor-led classroom course.

You can now run license included Windows Server instances on EC2 Dedicated Hosts, which enables you to use fully compliant Windows Server software licenses from AWS with a pay-as-you-go model. This new capability helps in scenarios where you have eligible SQL Server licenses to use on Dedicated Hosts but do not have accompanying Windows Server licenses to run the SQL Server workloads. 

Support for transporting live video over a VPC (Virtual Private Cloud) is now available with AWS Elemental MediaConnect. You can simplify hybrid cloud-based transport workflows by sending video to and from MediaConnect using a VPC. The new VPC feature is also compatible with AWS Direct Connect infrastructure configured with private virtual interfaces (VIF), supporting the ingest and egress of content via private networking. To learn more, please visit the documentation pages .

We are pleased to launch a new website with curated tutorials for AWS DeepLens. In addition to our existing tutorials (Worker Safety and Coffee Counter), we added a new tutorial (Trash Sorter) that walks you through how to train a custom image classification model on your own data and deploy it to DeepLens. We will continue adding tutorials to show you how to use a variety of computer vision and machine learning (ML) techniques to level up your ML skills with DeepLens.

Amazon Chime proxy phone sessions let you provide two users with a shared phone number to communicate via voice or text for up to 12 hours without revealing personal phone numbers. When users call or message the provided phone number, they are connected to the other party and their private phone numbers are replaced with the shared number in Caller ID. Personal phone numbers are not displayed, a method often called number masking. With proxy phone sessions, a food delivery service can allow a delivery driver and customer to contact each other for the duration of the delivery period to get information like a gate code or other special instructions. Proxy phone sessions help protect user privacy and keep transactions on your service. Numbers are available on-demand, so developers don’t have to calculate how many numbers they will need for different locations, or pay for extra numbers they do not use. 

AWS Transit Gateway now supports the ability to establish peering connections between Transit Gateways in 11 additional AWS Regions. Transit Gateway is a service that enables customers to connect thousands of Amazon Virtual Private Clouds (Amazon VPCs) and their on-premises networks using a single gateway. With AWS Transit Gateway, customers only have to create and manage a single connection from a central regional gateway to each Amazon VPC, on-premises data center, or remote office across their networks.

The AWS Deep Learning Containers are available with the latest framework versions of PyTorch 1.4.0 and MXNet 1.6.0. The PyTorch 1.4.0 upgrade includes newly added SageMaker Inference, SageMaker PyTorch Inference, and the latest version of SageMaker PyTorch Training. The MXNet 1.6.0 upgrade includes the latest version of GluonCV, SageMaker MXNet Training, SageMaker Inference and SageMaker MXNet Inference. You can launch the new versions of the Deep Learning Containers on Amazon SageMaker, Amazon Elastic Kubernetes Service (Amazon EKS), self-managed Kubernetes on Amazon EC2, and Amazon Elastic Container Service (Amazon ECS). For a complete list of frameworks and versions supported by the AWS Deep Learning Containers, see the release notes for PyTorch 1.4.0 and MXNet 1.6.0.

Amazon Redshift now supports elastic resize across node types. Customers can change node types within minutes and with one simple operation using elastic resize.