AWS Proton now supports the definition of infrastructure in HashiCorp Configuration Language (HCL) and the provisioning of infrastructure using Terraform Open Source through a git-based workflow. Platform teams define AWS Proton templates using Terraform modules, and 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 will ensure that modules are used consistently and kept up to date.

Improved cold query performance is now available in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD.

Amazon QuickSight now supports connectivity to Exasol, a high-performance, in-memory, MPP database designed for analytics. QuickSight’s new data connector allows business users to directly connect, analyze and report on the data in Exasol using a live connection, or import data from Exasol into QuickSight’s SPICE in-memory engine for scaling access to 1000s of users. 

AWS Managed Templates for IoT Jobs , a new feature of AWS IoT Device Management  now gives you the ability to deploy common remote operations to fleets of IoT devices directly from the AWS IoT Console, with no incremental code, and in a standardized manner. Instead of having to manually define your remote operations in a JSON Job Document, you can select from a range of pre-built remote actions, provide relevant inputs, and quickly deploy them to your IoT fleets.

Elastic Beanstalk now supports AWS Graviton-based Amazon Elastic Compute Cloud (Amazon EC2) instance types. AWS Graviton is an arm64-based processor built by Amazon that provides up to 40% better price-performance over a comparable x86-based processor. AWS Graviton on Elastic Beanstalk enables customers to benefit from the superior price-performance of arm64-based processors along with the ease-of-use of Elastic Beanstalk.

Today, we are announcing three new enhancements for AWS IoT SiteWise that make it easier for customers to collect data from industrial equipment at scale. The new enhancements reduce the number of steps required to ingest equipment data to the cloud, and add flexibility for customers modeling their physical operations using AWS IoT SiteWise asset models and assets.

AWS App Runner now supports GitHub Actions to build and deploy applications. GitHub Actions provide a way to implement complex orchestration and CI/CD functionality directly in GitHub by initiating a workflow on any GitHub event. If you have your source code in a GitHub repository, you can use GitHub Actions to enable App Runner to build a Docker image based on the language runtime and to deploy your application based on the generated image. For supported runtimes on App Runner, refer to the documentation . If you already have a container image of your application in a GitHub repository, you can use GitHub Actions to directly use the image to deploy your application on App Runner.

Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Amazon Translate now supports Amazon Virtual Private Cloud (VPC) endpoints via AWS PrivateLink so you can securely initiate API calls to Amazon Translate from within your VPC and without using public IPs. AWS PrivateLink provides private connectivity between VPCs and AWS services, without ever leaving the Amazon network, significantly simplifying your internal network architecture. You no longer need to use an Internet Gateway, Network Address Translation (NAT) devices or firewall proxies to connect to Amazon Translate.

The Amazon Chime SDK lets developers add real-time audio, video, screen-sharing, and messaging capabilities to their web or mobile applications. The Amazon Chime SDK now offers machine learning (ML) based echo reduction to help improve audio experiences. Acoustic echoes disrupt meetings or conference calls when the sound played by the loudspeaker is picked up by the microphone and it circulates back into the call. The new ML-based echo reduction capability is designed to reduce acoustic echoes and preserve voice quality during double-talk conditions, when two or more people speak at the same time.

Amazon Redshift support for GEOGRAPHY data type is now available for spatial analytics. GEOGRAPHY data type is used in queries requiring higher precision results for spatial data with geographic features that can be represented with a spheroid model of the Earth and referenced using latitude and longitude as spatial coordinate system.