We’re excited to announce the launch of AWS DevOps Monitoring Dashboard, a reference implementation that automates the setup of DevOps metrics dashboards so that customers developing on AWS can measure development activity and identify areas for continued improvement.

WorkSpaces Manager for Amazon WorkSpaces (WSM) is an AWS Solutions Consulting Offer delivered via a consulting engagement from Nuvens Consulting, an AWS Digital Workplace Competency Partner. WSM is ideal for customers looking to optimize, automate, and reduce the day-to-day management of their Amazon WorkSpaces estate. Customers that request this consulting offer will participate in an engagement that delivers automation of the administration, integration into existing support mechanisms, and right-sizing the Amazon WorkSpaces estate to ensure cost efficiency.

Amazon Forecast adds support for AWS Resource Groups and AWS Resource Groups Tag Editor. Amazon Forecast uses machine learning (ML) to generate more accurate demand forecasts, without requiring any prior ML experience. Forecast brings the same technology used at Amazon.com to developers as a fully managed service, removing the need to manage resources or rebuild your systems.

Amazon SageMaker now supports adding authentication to requests for pulling images stored in your private Docker Registry to build containers for real-time inference. Amazon SageMaker makes it easy to deploy your trained models to production with a single click, so you can start generating real-time inferences with low latency. You can bring your own code for performing real-time inference using container images stored in Amazon Elastic Container Registry (Amazon ECR) or a private Docker registry of your choice. SageMaker can now authenticate with your private Docker registry so you can have an additional layer of security and the peace of mind that requests to your container images are serviced only for authorized entities.

You can now use IAM condition keys as part of IAM and Service Control Policies (SCPs) to centrally govern endpoint, authorization, and logging configurations for your APIs in API Gateway.

Starting today, you are now offered additional file and folder sharing controls on your Amazon WorkDocs Android application. With this release, you can now share a folder as well as edit sharing permissions such as adding or removing members of the shared folder. You can also share a link as well as manage shared links for files and folders such as removing your shared link, adding a password to your shared link, or setting expiration dates for your shared link. In addition, you can now manage sharing permissions directly from the Folder List page for documents. These additional controls make it quicker than ever to share with colleagues and partners from your mobile application while also providing full control to manage the sharing workflow securely throughout the Android application.

Amazon Elastic Kubernetes Service (EKS) now supports adding Amazon EC2 P4d instances as worker nodes to clusters in regions where P4d is available.

Amazon Elastic Kubernetes Service (EKS) now supports Elastic Fabric Adapter (EFA), enabling applications to achieve the performance of an on-premises machine learning training cluster, with the scalability, flexibility, and elasticity provided by Kubernetes clusters managed by EKS.

Amazon Kinesis Data Analytics for Apache Flink now supports streaming applications built using Python version 3.7. This enables you to write streaming applications in the Python language and run them using Apache Flink v1.11 on Amazon Kinesis Data Analytics. Apache Flink v1.11 offers support for Python through the Table API, which is a unified, relational API for data processing.

Amazon ElastiCache for Redis now supports running clusters with high availability across multiple AWS Local Zones. AWS Local Zones are an extension of an AWS Region where you can run your latency-sensitive applications using AWS services in geographic proximity to end-users. Previously, Amazon ElastiCache for Redis only supported launching a cluster in a single AWS Local Zone.