We are excited to announce that Amazon Fraud Detector now includes model variable importance values with every new fraud detection machine learning (ML) model to provide customers with more insight into their model’s performance.

Today, we are excited to announce AWS Deep Learning Containers (DLCs) with integrated SDKs for inference that enable customers to easily deploy Hugging Face models in Amazon SageMaker at scale. This was the number one requirement from customers that have been leveraging the Hugging Face AWS DLCs for training (Hugging Face training DLCs) that released in March 2021.

Amazon RDS for PostgreSQL adds support for the oracle_fdw extension, which allows your PostgreSQL database to connect and retrieve data stored in separate Oracle databases.

Following the announcement of updates in MySQL database versions 5.7 and 8.0 , we have updated Amazon Relational Database Service (Amazon RDS) for MySQL to support MySQL minor versions 5.7.34, and 8.0.25. We recommend that customers upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about upgrading your database instances in the Amazon RDS User Guide ; and create or update a fully managed Amazon RDS database using the latest available minor versions in the Amazon RDS Management Console .

With Advance Pay, you can now pay for your AWS usage in advance, and pay your future invoices automatically. Once you add funds to Advance Pay, AWS will automatically use them to pay for your invoices when they become due for payment. 

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. To deploy ML models for real-time predictions, Amazon SageMaker provides you with a large selection of AWS compute instances, so you can find the right cost to performance ratio depending on your requirements. The Amazon Inf1 instance is powered by AWS Inferentia, a custom chip built from the ground up by AWS to accelerate ML inference workloads. Starting today, Amazon ml.Inf1 instances are additionally available on Amazon SageMaker in the Asia Pacific (Sydney), Europe (Stockholm), Europe (Milan), and AWS GovCloud (US-West) regions.

Tag policies help you govern tag consistency across resources in your organization’s accounts. For example, with tag policies, you can define rules on tag keys, including how they should be capitalized and their allowed values. With this release, the maximum size of a tag policy document has been increased from 2.5k to 10k characters for both new and existing tag policies. The number of allowed policies has also been increased from 5 to 10.

Starting today, AWS AppSync is available in the Asia Pacific (Osaka) region.

Today, we’re announcing that we have updated AWS Amplify’s tools and libraries for Flutter to support null safety for all of our use cases. Flutter developers can now enjoy all the easy-to-integrate Amplify functionality with higher reliability and improved developer ergonomics. Sound null safety is a Dart language feature in which code is non-nullable by default and turns runtime null-dereference errors into edit-time analysis errors. This enables developers to reduce bugs in their code and benefit from performance improvements through smaller binaries and faster execution.