Amazon Relational Database Service (Amazon RDS) now supports the delivery of message attributes, which provide structured metadata about a message. RDS event attributes are separate from the message, but are sent with the message body. The message receiver can use this information to decide how to handle the message, enabling routing and filtering without having to process the message body first.

Amazon HealthLake Imaging is a new HIPAA-eligible capability now in preview that enables healthcare providers and their software partners to easily store, access, and analyze medical images at petabyte scale. With HealthLake Imaging, healthcare providers and their software partners can run their medical imaging applications in the cloud to increase scale while also reducing infrastructure costs. 

AWS Elemental MediaConnect now supports RGB 10- and 12-bit 4:4:4 color spaces via AWS Cloud Digital Interface (AWS CDI) enabling workloads such as color grading, that require high-fidelity color at low latencies. The RGB 10- and 12-bit 4:4:4 color spaces are in addition to the currently supported option of YCbCr 10-bit 4:2:2.

Amazon Managed Service for Prometheus now supports 200M active metrics per workspace. Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that makes it easy to monitor and alarm on operational metrics at scale. Prometheus is a Cloud Native Computing Foundation open source project for monitoring and alerting that is optimized for container environments such as Amazon EKS and Amazon ECS. With this release, customers can send up to 200M active metrics to a single workspace after filing a limit increase, and can create many workspaces per account, enabling the storage and analysis of billions of Prometheus metrics. To get started, customers can create an Amazon Managed Service for Prometheus workspace and increase their workspace active series limits by filing a limit increase in AWS Support Center or AWS Service Quotas .

AWS re:Post  is a cloud knowledge service designed to help AWS customers remove technical roadblocks, accelerate innovation, and operate efficiently. re:Post has only supported English since the launch at re:Invent 2021. Today, re:Post has expanded the user experience to support five additional languages. Customers can now learn, design, build, and troubleshoot AWS technology by posting questions and consuming content in the following languages: Traditional Chinese, Simplified Chinese, French, Japanese, and Korean. Multi-lingual support makes the re:Post community more accessible to AWS enthusiasts globally, allowing them to collaborate and build connections with community members in their preferred or chosen language(s) and to locate the content they need faster.

The AWS Serverless Application Model (SAM) Command Line Interface (CLI) announces the preview of AWS Lambda local testing and debugging on Terraform. The AWS SAM CLI is a developer tool that makes it easier to build, test, package, and deploy serverless applications. Terraform is an infrastructure as code tool that lets you build, change, and version cloud and on-premises resources safely and efficiently.

Amazon HealthLake announces new analytics capabilities, making it easier for customers to query, visualize, and build machine learning models on their HealthLake data. With this launch, HealthLake transforms customer data into an analytics-ready format in AWS Lake Formation in near real-time. This removes the need for customers to execute complex data exports and data transformations. Now customers can simply focus on querying the data with SQL using Amazon Athena, building visualizations using Amazon QuickSight or other third party tools, and using this data to build ML models with Amazon SageMaker.

Companies using the Amazon Connect Customer Profiles APIs for custom agent applications and automated interactions (e.g., IVR) can now search for profiles using multiple search terms, making it easier to find the right profile. Using the enhanced SearchProfiles API, customers can search for profiles using up to 5 terms to narrow down or expand search results. For example, when dealing with common names, you can narrow your search results to one profile by searching for profiles that match more than one term such as phone number, and name. As another example, when uncertain on the search term that matches a specific profile, you can expand search results to all the profiles matching any of the terms provided such as phone number, name, or social security number.

Amazon Relational Database Service (Amazon RDS) for Oracle now supports integration with Amazon Elastic File System (EFS). You can now transfer files between the RDS for Oracle DB instance and Amazon EFS file system. Amazon EFS is designed for 99.999999999% (11 9s) of durability and up to 99.99% (4 9s) of availability. You can scale to petabytes on a single NFS file system.

Amazon Redshift concurrency scaling is leveraged by thousands of customers to support virtually unlimited concurrent users and queries, and meet their SLAs for BI reports, dashboards and other analytics workloads. In addition to the read queries, Amazon Redshift concurrency scaling is now extended to support scaling of most common write operations performed as part of workloads such as data ingestion and processing. The write workloads support with concurrency scaling is available on Amazon Redshift RA3 instance types.