Starting today, M5d instances are available in the AWS Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacfic (Tokyo), and Europe (London) Regions. M5d instances were first introduced in June 2018 and delivers M5 instances equipped with local NVMe-based SSD block level storage physically connected to the host server. M5d instances are ideal for workloads that require a balance of compute and memory resources along with high-speed, low latency local block storage including data logging and media processing.

Starting today, you can enable persistent application and Windows settings for your users on AppStream 2.0. With this launch, your users’ plugins, toolbar settings, browser favorites, application connection profiles, and other settings will be saved and applied each time they start a streaming session. For example, your users can configure their plugins and toolbars for their CAD/CAM applications, and retain those settings every time they stream their application. Your users’ settings are stored in an S3 bucket you control in your AWS account.

To get started, select Stacks from the AppStream 2.0 console. Below the stacks list, choose User Settings, Application Settings Persistence, Edit. In the Application Settings Persistence dialog box, choose Enable Application Settings Persistence. To learn more about persistent application settings, see Enable Application Settings Persistence for Your AppStream 2.0 Users .

You can enable persistent application settings for your users at no additional charge in all AWS Regions where AppStream 2.0 is offered. However, you will be billed for the S3 storage used to store your user’s settings data. To use this feature, the AppStream 2.0 agent software on your image must be dated August 29, 2018 or newer. AppStream 2.0 offers pay-as-you-go pricing. Please see Amazon AppStream 2.0 Pricing for more information, and try our sample applications.

AWS Config, a service that enables you to assess, audit, and evaluate the configurations of your AWS resources, announces seven new managed rules to help you evaluate whether your AWS resource configurations comply with common best practices. This allows you to simplify compliance auditing, security analysis, change management, and operational troubleshooting.

Amazon Elastic Container Service for Kubernetes (EKS) is now available in the AWS Europe (Ireland) Region.

Starting today, AWS Batch supports running workloads on z1d, r5d, r5, m5d, c5d, p3, and x1e EC2 instances.

AWS CloudFormation Macros perform custom processing on CloudFormation templates from simple actions such as find-and-replace to transformation of entire templates. CloudFormation Macros use the same technology that powers AWS::Include and AWS::Serverless transforms. CloudFormation transforms help simplify template authoring by condensing the expression of AWS infrastructure as code and enabling reuse of template components.

Previously, you could use AWS::Include and AWS::Serverless transforms to process your templates that were hosted by CloudFormation. Now, you can use CloudFormation Macros to create your own custom transforms. For example, you can create common string functions for templates or define short-hand syntaxes for common CloudFormation resources. Click here to learn more about sample macros for your reference.

To learn more about CloudFormation Macros, please visit AWS CloudFormation documentation .

CloudFormation Macros are available in all AWS regions that have AWS Lambda. For a full list of AWS regions where AWS Lambda is available, please visit our Region table .

You can now enable AWS X-Ray for your APIs in Amazon API Gateway, making it easier to trace and analyze user requests as they travel through the APIs to the underlining services.

Amazon SageMaker now supports version 1.10 in its pre-built TensorFlow containers. This makes it easier to run TensorFlow scripts, while taking advantage of the capabilities Amazon SageMaker offers, including a library of high-performance algorithms, managed and distributed training with automatic model tuning, one-click deployment, and managed hosting.

AWS CodeBuild now supports build projects with multiple input sources and output artifacts. Your projects can now use one or more sources from Amazon S3, AWS CodeCommit, GitHub, GitHub Enterprise, or Bitbucket and can upload multiple sets of artifacts to one or more Amazon S3 buckets. You can also configure your project to have no input source. You can now use the AWS CodePipeline integration with CodeBuild to create a pipeline with multiple input and output artifacts to a CodeBuild project.

Amazon CloudWatch Metrics for Amazon S3 now includes storage metrics for Amazon Glacier and S3 OneZone-Infrequent Access (S3 One Zone-IA) storage classes in the AWS GovCloud (US) Region. Storage that has been uploaded to S3 One Zone-IA or transitioned to S3 One Zone-IA or Amazon Glacier from S3 Standard or S3 Standard-IA storage classes using S3 Lifecycle policies will be available in CloudWatch storage metrics. These storage metrics will also include object overhead bytes applied to objects in Amazon Glacier and small objects in S3 Standard-IA and S3 One Zone-IA.