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.

Starting today, you can use AWS Nitro Enclaves in Asia Pacific (Osaka) and Asia Pacific (Jakarta) regions. 

AWS announces the availability of AWS Fluent Bit container images for Windows Server on Amazon ECS and Amazon EKS, to help customers easily process and forward their container logs to various AWS and third-party destinations, such as Amazon CloudWatch, Amazon S3, Amazon Kineses Data Firehose, Datadog, and Splunk. This capability helps customers to centrally view, query, and manage their logs without needing to implement or manage a custom logging solution or agents to extract logs from their Windows containers. With this launch, customers have a common mechanism to process and route their logs across ECS and EKS for both Linux and Windows workloads. For more details about the supported Windows versions and the image tags for Fluent Bit, visit the public github repository here .

Today, we are excited to announce general availability of tooling support to build and deploy native AOT compiled .NET 7 applications to AWS Lambda. .NET 7 is the latest version of .NET and brings several performance improvements and optimizations, including support for the native AOT deployment model . Native AOT compiles .NET applications to native code. By using native AOT with AWS Lambda, you can enable faster application starts, resulting in improved end-user experience. You can also benefit from reduced costs through faster initialization times and lower memory consumption of native AOT applications on AWS Lambda. 

Kubernetes is rapidly evolving, with frequent feature releases and bug fixes. You can now use Amazon EKS and Amazon EKS Distro to run Kubernetes version 1.24.