11/2/2022, 12:00:00 AM ~ 11/3/2022, 12:00:00 AM (UTC)

Recent Announcements

AWS Migration Hub Orchestrator now supports Microsoft SQL Server migration

AWS Migration Hub Orchestrator adds support for Microsoft SQL Server to help you simplify and accelerate SQL Server database migration to AWS. You can now easily create a SQL Server migration workflow, automate the manual tasks involved in the migration, and track the migration progress in the same console. With this capability, you can reduce SQL Server migration time and effort to avoid schedule and cost overruns.

Amazon S3 on Outposts further optimizes storage management with new Lifecycle actions and filters

Amazon S3 on Outposts now supports additional S3 Lifecycle rules to optimize capacity management. You can now optimize your storage capacity by expiring objects as they age or are replaced with newer versions. You can use S3 Lifecycle configurations for a whole bucket on your Outpost, or for a subset of the objects in the bucket by filtering by prefixes, object tags, or object sizes.

Amazon Textract announces updates to the forms and text extraction features

Amazon Textract is a machine learning service that automatically extracts text, handwriting, and data from any document or image. We continuously improve the underlying machine learning models based on customer feedback to provide even better accuracy. Today, we are pleased to announce quality enhancements to our text and forms extraction feature available via the AnalyzeDocument API.

Announcing availability of AWS Outposts rack service in Bangladesh

AWS Outposts rack can now be shipped and installed at your data center and on-premises locations in Bangladesh.

Amazon SageMaker Autopilot now provides feature selection and the ability to change data types while creating an AutoML experiment

Amazon SageMaker Autopilot now provides the ability to perform feature selection and change auto inferred data types while creating an AutoML experiment, enabling you with the flexibility to choose which features to include while training your machine learning (ML) models. SageMaker Autopilot automatically builds, trains and tunes the best ML models based on your data, while allowing you to maintain full control and visibility.

AWS WAF Now Supports Granular Geographic Match

Starting today, the AWS WAF geographic match statement adds labels to each request, to indicate ISO 3166 country and region codes. Customers have asked for more control of geographic regions within a country, such as a specific state in the United States. With the updated geographic match rule statements, customers can control access at the region level. The geographic match rule statement now automatically annotates a request from Texas, USA with the label awswaf:clientip:geo:region:US-TX, and a request from Queensland, Australia with the label awswaf:clientip:geo:region:AU-QLD. Customers can add label matching rules to capture region labels and block specific regions, without blocking the entire country.

Amazon SageMaker Autopilot experiments are now up to 2x faster in Hyperparameter Optimization training mode

Amazon SageMaker Autopilot experiments using hyperparameter training are up to 2x faster to generate ML models on datasets greater than 100 MB running 100 or more trials. Amazon SageMaker Autopilot automatically builds, trains, and tunes the best ML models based on your data while allowing you to maintain full control and visibility.

AWS ParallelCluster 3.3: multiple instance type allocation and other top requested features

AWS ParallelCluster 3.3 is now generally available and introduces a new feature for compute resource optimization. With this new feature, you can map a compute resource to a list of Amazon EC2 instance types with an allocation strategy to optimize compute capacity for your HPC jobs. Other features include updates that support dynamically mounting shared storage, Slurm accounting, and Amazon EC2 on demand capacity reservations (ODCR).

Amazon Connect Customer Profiles now surfaces additional customer information in the Amazon Connect Agent Application

Amazon Connect Customer Profiles now enables agents to see additional customer information stored in Customer Profiles in the Connect Agent Application, enabling them to further personalize customer interactions and resolve their problems. For example, admins at retail companies can now add reward points information to profiles, and enable agents to inform customers of points redeemable towards their orders. As another example, admins at a financial services company can add credit limit information enabling agents to quickly help customers calling regarding a declined credit card transaction.

Amazon Polly launches a Dutch NTTS voice

Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Today, we are excited to announce the general availability of Laura, a new female Dutch neural Text-to-speech (NTTS) voice.

Amazon Simple Email Service announces Virtual Deliverability Manager to help enhance email delivery success rate

Today, Amazon Simple Email Service (Amazon SES) launched Virtual Deliverability Manager, a new feature that helps customers monitor and increase their email delivery success rates. Customers can use this feature to optimize their email sending campaigns and sending configuration, to reduce the likelihood that mailbox providers (such as Gmail or Yahoo) will mark their email messages as spam.

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