Today, we are happy to announce that Amazon Fraud Detector now supports batch fraud predictions. Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Until today, Fraud Detector supported real-time fraud predictions via the GetEventPrediction API, which is ideal for low-latency synchronous fraud prediction use cases but requires customers to integrate an API and make an API call for every event they want to evaluate. Now, customers who have non real-time fraud prediction use cases can get fraud predictions for a large number of events in one go, or on an hourly or daily basis, using the new batch prediction feature without needing to write any code.  

You can now configure each path segment of an API Gateway custom domain name to route requests to different APIs. Using multi-level base path mappings, you can implement path-based API versioning and migrate API traffic between APIs according to request paths with many segments.

Following the announcement of updates in MySQL database versions 5.6 , 5.7 , and 8.0 , we have updated Amazon Relational Database Service (Amazon RDS) for MySQL to support MySQL minor versions 5.6.51, 5.7.33, and 8.0.23. We recommend that customers upgrade to any of 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 , including automatic minor version upgrades.

When creating datasets in AWS Glue DataBrew from the Amazon S3 data lake, you can now create dynamic datasets to schedule data preparation on new incoming Amazon S3 files or apply transformations on filtered or conditionally chosen files or folders in S3. You can create a dynamic S3 path to choose files based on a time-window or time of last file update, and defining custom parameters to replace string, number, or date-based values in your S3 file path with filter conditions such as begins with, ends with, contains, does not contain, less than, greater than, before, and others. Custom parameter names can be included as columns in your datasets and the revised schema will be used for jobs running on dynamic datasets. With parameterized S3 paths and/or files, users can schedule to apply existing recipes to run on selected dynamic datasets.

AWS Snowball Edge Compute Optimized is now available in the AWS Asia Pacific (Singapore) Region. Snowball Edge Compute Optimized is a secure, rugged device that brings AWS computing and storage capabilities, such as Amazon EC2, Amazon EBS, Amazon S3, AWS IoT Greengrass, AWS Lambda functions, and AWS IAM to your edge environments for machine learning, data analytics, processing, and local storage. You can use Snowball Edge devices in environments with intermittent connectivity (like manufacturing, industrial, and transportation) or in extremely remote locations (like military or maritime operations). These devices may also be rack mounted and clustered together to build larger installations.

Starting today, AWS Gateway Load Balancer is available in the Canada (Central), Asia Pacific (Seoul) and Asia Pacific (Osaka) regions. With this launch, AWS Gateway Load Balancer is now available in 21 regions.

Customers who bring in private classroom training for their teams now have new options to supplement the in-course labs and instruction with an AWS Jam event. Seven of our popular three-day instructor-led courses are now available with an optional fourth day—an AWS Jam event—with gamified challenges to match the topics and services covered in the course. These are curated and instructor-facilitated to maximize learning and build your team’s capability in the AWS Cloud. These courses are generally available in all geographies, delivered in English.

Announcing Amazon CloudWatch Metric Streams – a new feature that enables customers to create a continuous, near real-time stream of metrics to a destination of their choice.

You can now use the Amazon Redshift Query Editor with Amazon Redshift clusters in the AWS GovCloud (US) Regions. You can query data in your Amazon Redshift cluster directly from your AWS Management console, using the Query Editor. The Redshift Query Editor provides an easier way for admins and end-users to run SQL queries without having to install and setup an external JDBC/ODBC client. Query results are instantly visible within the console.

AWS Direct Connect now offers IEEE 802.1AE MAC Security Standard (MACsec) encryption for 10Gbps and 100Gbps Dedicated Connections at select locations to secure your high-speed, private connectivity to the cloud.