Today, we are excited to announce the general availability (GA) of an update to Amazon GameLift FleetIQ, enabling you as a game developer to use AMD EPYC™ processor-based instances. GameLift is an AWS managed service for deploying, operating, and scaling dedicated servers for multiplayer games, and it is trusted by some of the most successful game companies in the world, including Ubisoft, Gameloft, and N3TWORK. With this update, GameLift FleetIQ adds AMD EPYC instance families allowing game developers more server types to choose, while still delivering the same low-cost, low-latency player experience.

AWS Cloud9 now includes visual source control integration for Git (Git panel) built in to Cloud9. Prior to this release Git could only be used on the command line of the integrated Cloud9 terminal. Today’s release gives you the option to use a visual tool, built in to the IDE, to clone, push, pull, add, and commit files to your Git repositories on Cloud9 environments.

The FindMatches ML transform in AWS Glue now includes information on how much each column in the dataset contributed to determining if records were matches. The FindMatches transform enables you to identify duplicate or matching records in your dataset, even when the records do not have a common unique identifier and no fields match exactly. This feature makes it easier to decide how to improve your FindMatches transforms.

Amazon Virtual Private Cloud (Amazon VPC) Traffic Mirroring is now supported on additional select non-Nitro instance types. Amazon VPC Traffic Mirroring allows you to replicate the network traffic from EC2 instances within your VPC to security and monitoring appliances for use cases such as content inspection, threat monitoring, and troubleshooting.

The Serverless Image Handler solution enables fast and cost-effective image manipulation in the cloud by combining highly available, trusted AWS Services with the open-source imaging processing suite, Sharp . The solution automatically deploys and configures a serverless architecture optimized for dynamic image manipulation. It uses Amazon CloudFront for global content delivery and Amazon Simple Storage Service (Amazon S3) for reliable and durable cloud storage at low costs.

Amazon Lex, a service for building conversational interfaces into any application using voice and text, is now available in the AWS GovCloud (US-West) Region. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, you can quickly and easily build sophisticated, natural language, conversational bots (“chatbots”), virtual agents and IVR systems.

Amazon Timestream has added new capabilities to its SQL query language to enable customers to gain deeper insights from their time series data by running cross table queries and queries with advanced time series functions. Starting today, customers can also gain more transparency into the query execution statistics, to better understand the cost and duration of a running query. Lastly, the implementation of Amazon Timestream’s JDBC Driver is now available under the Apache 2.0 License on GitHub , so customers can contribute new features and enhancements to the JDBC driver.

AWS Data Exchange now allows subscribers to export full data set revisions to Amazon S3 in a single export job. Starting today, subscribers who want to export all assets within a data set revision can do so using the AWS Data Exchange console or programmatically using the AWS Data Exchange API . This functionality eliminates the need to set-up and maintain code when configuring the export of revisions with many assets. For customers who have subscribed to 3rd party data sets containing hundreds or thousands of assets in individual revisions, this feature materially simplifies the receipt and ingestion of data.

We’re excited to announce a free new digital curriculum: Managing Amazon Simple Storage Service. This advanced 150-minute curriculum covers techniques to simplify the management of Amazon S3 storage. Designed for cloud architects, storage architects, developers, and operations engineers, it includes interactive lessons, video demonstrations, a self-paced lab, and quizzes. The self-paced lab costs up to 15 USD per lab (this cost is not included with free digital training on aws.training).

AWS Glue is now available in the AWS Africa (Cape Town) Region. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides both visual and code-based interfaces to make data integration easier so that you can start analyzing your data and putting it to use in minutes instead of months.