Amazon Elastic Container Service (Amazon ECS) now enables customers to help applications scale out faster and save costs by using Amazon Elastic Compute Cloud (Amazon EC2) Auto Scaling Warm Pools with their Amazon ECS clusters. Warm Pools allow customers to create a pool of pre-initialized Amazon EC2 instances that are ready to quickly serve application traffic.

We are happy to announce the preview of Amazon GameSparks, a managed AWS service that provides game developers with features for building, running, and scaling the backend for their games without having to manage servers or low-level cloud primitives. Amazon GameSparks makes building a game backend easy for game developers who have little to no cloud experience since it comes with out-of-the-box backend features that require minimal setup and is pre-integrated with the Unity game engine.

Amazon QuickSight now supports native groups management with an interactive user interface. With this change, administrators can efficiently and easily administer and govern user groups via the QuickSight admin console. They can create and manage groups and manage users membership within groups. Groups Management UI is available to administrators with access to the QuickSight admin console pages via IAM credentials. For more information visit here .

Today we are releasing AWS GameKit, a new solution that allows game developers to deploy and customize game backend features directly from Unreal Engine. AWS GameKit comes with AWS CloudFormation templates for each feature that follows AWS Solution Architect designs. AWS GameKit also comes with an integration code between the game backend features and Unreal Engine. AWS GameKit is for game developers looking to build AWS-powered game features directly from Unreal Engine with just a few clicks.

AWS Proton support for defining infrastructure in HashiCorp Configuration Language (HCL) and provisioning infrastructure using Terraform Open Source is now generally available in all regions where Proton is available. Platform teams can now define AWS Proton templates using Terraform modules, in addition to CloudFormation. AWS Proton leverages the customer-managed Terraform automation to provision or update the infrastructure. Customers can use Terraform as their infrastructure definition and provisioning tool, and AWS Proton keeps modules that are used consistently up to date. This generally available launch includes support for BitBucket repositories for infrastructure management, and improved messaging across the service to further clarify the status of provisioning.

Amazon Kendra is an intelligent search service powered by machine learning, enabling organizations to provide relevant information to customers and employees, when they need it. Starting today, AWS customers can use the Amazon Kendra Slack Connector to index and search messages from Slack.

Today, AWS Service Catalog is releasing a feature that helps to simplify builders’ access to the resources associated with their Provisioned Products. Previously, customers had to manually navigate through the AWS console to find a specific resource. With this feature, they can easily locate and access the resource of a provisioned product, right in the provisioned product detail page.

AWS Cost Anomaly Detection now supports resource and tag-based access controls for easy management and access to cost anomaly monitors and alert subscriptions. You can now define AWS Identity and Access Management (IAM)  policies to specify fine-grained permissions for AWS Cost Anomaly Detection monitors and alert subscriptions based on their resource names and tags, improving governance and information security through these two granular access control features.

Amazon Polly is a service that turns text into lifelike speech. Today, we are excited to announce the general availability of two voices: a Neural version of Mia, Polly’s Mexican Spanish female text to speech (TTS) voice and Arlet, a new Catalan Neural voice.

You can now run models and algorithms from TensorFlow, PyTorch, and OpenCV directly on the AWS Panorama Appliance GPU for low-latency use cases, such as object tracking, traffic analysis, and worker safety. AWS Panorama also supports models optimized with Nvidia TensorRT or any machine learning library with Nvidia CUDA support. Nvidia TensorRT can double the number of camera streams that can be processed simultaneously on the AWS Panorama Appliance for a given use case.