AWS Lambda customers can now enable functions to access Amazon Elastic File System (Amazon EFS) in the Asia Pacific (Osaka) region. With AWS Lambda support for Amazon EFS, customers can easily share data across function invocations, read large reference data files, and write function output to a persistent and shared data store.

Amazon SageMaker customers can now select ml.G4dn instances to run Batch Transform and Processing Jobs. Amazon SageMaker Batch Transform enables you to run predictions on datasets stored in Amazon S3. It is ideal for scenarios where you are working with large batches of data and don’t need sub-second latency. Amazon SageMaker Processing  enables you to run your pre- or post-processing workloads, such as feature engineering, data validation, model evaluation, and model interpretation with a fully managed experience.

AWS Marketplace now enables customers to discover and subscribe to software from Hong Kong and Qatar Independent Software Vendors (ISVs), Consulting Partners and Data Providers, adding to the 10,000+ software listings and data products from 1,600+ sellers.

AWS Control Tower announces enhancements to accessibility and improvements in both the console and overall performance of the service.

AWS Managed Services (AMS) now offers self-service reporting on key operational metrics. AWS Managed Services provides operational reports on your Managed Environment  for both traditional and next generation workloads. You can access the rich set of operational reports in your managed accounts through AWS Managed Services console. You can also access the operational reporting data through a secure S3 bucket that AMS provides for your analytics and business intelligence needs.

Database Activity Streams (DAS) for Amazon Relational Database Service (Amazon RDS) for Oracle provides a near real-time stream of all audited statements (SELECT, DML, DDL, DCL, TCL) executed in your DB instance. The audit data is collected from the unified database audit, while the storage and processing of database activity is managed outside your database. This prevents database users and administrators from modifying the audit stream.

Amazon Textract is a machine learning service that automatically extracts text, handwriting and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. We continuously improve the underlying machine learning models based on customer feedback to provide even better accuracy. Today, we are pleased to announce an accuracy enhancement update to our forms extraction feature. Starting today, Textract more accurately detects the checkboxes and key-value pairs within documents and images. The accuracy is especially improved for invoices and receipts, but customers will see improvements across many documents in finance, healthcare, legal, public sector, and more.

Amazon CodeGuru Reviewer is a developer tool that leverages automated reasoning and machine learning to detect potential defects that are difficult to find in your code and offers suggestions for improvements. Today, we are announcing a new CI/CD experience for CodeGuru Reviewer that allows you to trigger code quality and security analysis as a step within your CI workflow using GitHub Actions. Additionally, we are also introducing 20+ new detectors for CodeGuru Reviewer to help identify security vulnerabilities and check for security best practices in your Java code.  

You can now simplify the process of configuring GitHub Actions workflows for building serverless applications with a single line. The new AWS-supported setup-sam GitHub Action makes it easier to keep consistency across GitHub Actions runners, stay up-to-date with AWS Serverless Application Model CLI (AWS SAM CLI) tooling, and select its versions. The AWS SAM CLI is a developer tool that makes it easier to build, locally test, package, and deploy serverless applications. GitHub Actions is a service that helps automate tasks within the software development lifecycle. GitHub Actions runner is the application that runs a job from a GitHub Actions workflow.

Amazon Redshift, a fully-managed cloud data warehouse, now supports case-insensitive collation with column and expression level overrides. Starting today, you can use the COLLATE clause within a CREATE DATABASE statement to specify the default collation for all CHAR and VARCHAR columns in the database as case-sensitive or case-insensitive. You can also specify a COLLATE clause in a CREATE TABLE statement to specify collation for columns in that table. In addition, the COLLATE() function allows you to override the collation of a string column or an expression.