Amazon Connect Customer Profiles now offers Identity Resolution that is designed to automatically detect similar customer profiles by comparing name, email address, phone number, date of birth, and address. For example, two or more profiles with spelling mistakes, such as “John Doe” and “Jhn Doe,” can be detected as belonging to the same customer “John Doe” using clustering and matching machine learning (ML) algorithms. Once a group of profiles are detected to be similar, admins can configure how profiles should be merged together by setting up consolidation rules  through AWS management console or APIs .

Amazon DynamoDB now helps you meet regulatory compliance and business continuity requirements through enhanced backup features, including copying on-demand backups cross-account and cross-Region, cost allocation tagging for backups, and transitioning backups to cold storage. In addition, backups managed through AWS Backup are now stored in the AWS Backup vault, which allows you to encrypt and secure your backups by using AWS Key Management Service (KMS) key that is independent from your DynamoDB table encryption key.

Amazon Web Services (AWS) has announced the general availability of Enterprise On-Ramp, a new Support tier designed for production and business-critical needs to help customers that are starting their cloud journey and need expert guidance to grow and optimize on cloud. With Enterprise On-Ramp, customers can solve cloud-related challenges with 24/7 access to AWS experts whether by phone or live chat, share their screen, and get support to improve issue resolution and eliminate the frustration of back-and-forth emails.

AWS Database Migration Service (AWS DMS) expands functionality by adding support for Azure SQL Managed Instance as a source. Using AWS DMS, you can now migrate data live from Azure SQL Managed Instance to any valid supported target with minimal downtime.

Elastic Fabric Adapter (EFA) now supports new instance sizes within the Amazon EC2 compute-optimized, GPU, and dense SSD storage instance types that support EFA. Until now, EFA could be enabled for select bare-metal instances or for the largest instance size that support EFA. Starting today, you can associate EFA with additional sizes within Amazon C5, G4, and I3 instance types. By enabling EFA for smaller instance sizes that match the performance requirements of your application, you can lower costs. 

AWS Proton now allows customers to sync their Proton templates from a git repository. Platform teams can create AWS Proton templates based on AWS CloudFormation and Terraform templates uploaded to a git repository. AWS Proton is designed to automatically sync and create a new version when changes are made and committed to the git repository. With this new feature, platform and development teams can eliminate manual steps and and reduce the chance for human error.

AWS Database Migration Service (AWS DMS) has expanded functionality by adding support for Google Cloud SQL for MySQL as a source. Using AWS DMS, you can now perform live migrations from Google Cloud SQL for MySQL to any AWS DMS supported targets .

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.

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.