Inspector has added Windows Server 2012, 2012 R2, 2016, and 2019, 2022 support for continual EC2 vulnerability scanning. Customers that have Inspector EC2 scanning already enabled and the AWS Systems Manager (SSM) agent installed and configured, do not need to take any additional actions. Windows instances will now automatically and continually be scanned for software vulnerabilities and unintended network exposure. New customers can get started  with Inspector with a single click in the AWS Management Console to start assessing for software vulnerabilities in their EC2 instances, both Windows and Linux, along with their container images in the Amazon Elastic Container Registry (ECR). A complete list of operating systems supported by Inspector can be found here .

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Starting today, customers now have the option of using Enterprise On-Ramp Support or Enterprise Support to satisfy the prerequisite for ordering AWS Outposts. With the addition of Enterprise On-Ramp Support, customers now have more flexibility in selecting the AWS Support plan that best suits their Outposts workloads and support needs.

In May 2019, Amazon Elastic Block Store (EBS) launched the ability for customers to take crash-consistent snapshots of all Amazon EBS volumes attached to an Amazon EC2 instance with a single API call. Now you can choose to take crash-consistent snapshots of a subset of Amazon EBS data volumes attached to an Amazon EC2 instance. You can also use Amazon Data Lifecycle Manager (DLM) to automate taking crash-consistent snapshots of the same subset of Amazon EBS volumes on a retention schedule defined by DLM policies.

AWS Config conformance pack templates can now be stored in and deployed from AWS Systems Manager documents (SSM documents). Conformance packs are collections of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an organization in AWS Organizations. Conformance packs are defined through a YAML-based template and deployed by AWS Config. As templates are offline files, customers had to maintain manual processes for version control and sharing across accounts.

The AWS Serverless Application Model (SAM) Command Line Interface (CLI) announces general availability of esbuild support in SAM CLI. The AWS SAM CLI is a developer tool that makes it easier to build, test, package, and deploy serverless applications. Esbuild , “an extremely fast JavaScript bundler”, links JavaScript ( js , jsx , ts , and tsx ) and CSS dependencies as deployable assets for the web. Starting today, you can now use esbuild in the SAM CLI build workflow for your JavaScript applications.

QuickSight Authors can now better analyze user activity; new enhancements to user activity in Topics make it easy for authors to – a. Identify questions that required user disambiguation to generate an answer, b. Filter questions based on whether they were answered or required user disambiguation and c. Filter questions based on the User who submitted the question. Authors can navigate to the User Activity section of a Topic and identify questions that required disambiguation with specific phrase highlighted, they can also filter the list of questions by choosing either “unanswered”, “has user disambiguations” or by typing in a specific User ID.

Today, Amazon Forecast is excited to announce the ability to customize the forecast frequency, enabling you to more closely align forecast intervals with your demand cycles. Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts.

SageMaker Autopilot automatically builds, trains and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Starting today, when creating Autopilot experiment to train a machine learning model, you can customize the splits of data used for training and validation of models. By default Autopilot splits the specified dataset into 80-20 percent splits reserved for training and validation respectively. With this release, you can customize the training and validation data split percentages or alternatively provide two datasets, one for training and another for validation. This feature is available for use in both Amazon SageMaker Studio and SageMaker Autopilot API.

We are excited to announce AWS GameKit is now available for the Unity game engine. AWS GameKit allows game developers to deploy and customize game backend features directly from a game engine. AWS GameKit launched on March 23, 2022 with support for Unreal Engine and with today’s release for Unity, game developers can integrate the following cloud-based game features into Win64, MacOS, Android, or iOS games from both the Unreal and Unity engines with just a few clicks: 

• Identity and Authentication: Create unique identities for each player and allow players to sign into the game. Verify player identities and manage player sessions.
• Achievements: Create and track game-related rewards earned by players.
• Game State Cloud Saving: Maintain a synchronized copy of player game progress in AWS to allow players to resume gameplay across sessions.
• User Gameplay Data: Maintain game-related data for each player, such as inventory, statistics, and cross-play persistence.