You can now use Amazon Route 53 Resolver endpoints for hybrid cloud configurations in the Europe (Stockholm) AWS Region.

Amazon Personalize is now available in 3 additional regions – Asia Pacific (Sydney), Asia Pacific (Mumbai), Canada (Central). Amazon Personalize is a machine learning service which enables you to personalize your website, app, ads, emails, and more, with custom machine learning models which can be created in Amazon Personalize, with no prior machine learning experience. 

Amazon FreeRTOS is now available in the AWS China (Beijing), operated by Sinnet and AWS China (Ningxia), operated by NWCD, regions. Amazon FreeRTOS is an IoT operating system for microcontrollers that extends the FreeRTOS kernel with software libraries for security, connectivity, and updateability to make small, low-powered edge devices easy to program, deploy, secure, connect, and manage. Amazon FreeRTOS is open source, free to download and use, and provides everything you need to easily program connected microcontroller-based devices and collect data from them for IoT applications, and helps you scale those applications across millions of devices. 

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capability to your applications. Starting today, when transcribing audio, you can instruct Amazon Transcribe to automatically mask or remove specific terms from the output transcripts based on a vocabulary that you specify. For example, you can use a vocabulary filter to automatically remove profane words from the transcription results for content moderation. You do not need to scrub inappropriate content from each transcript anymore. You can create a vocabulary filter once and apply it to all your transcription jobs. You can also create multiple vocabulary filters and choose which one should be used for a particular transcription job.

Amazon Elastic Kubernetes Service (EKS) now allows you to restrict access to your Kubernetes cluster’s public endpoint by specifying allowed IPv4 address ranges in CIDR notation. This allows you to implement network-based access control to your public endpoint.

Application Auto Scaling now publishes notifications to the AWS Personal Health Dashboard and AWS Health API when a scale-out operation for one of your Amazon DynamoDB Tables or Global Secondary Indexes is prevented because a DynamoDB throughput service limit has been reached. This gives you actionable feedback to request a service-limit increase.

Application Auto Scaling now publishes to Amazon EventBridge when a scaling policy scales your resource to the configured maximum. You may have set a maximum bound for cost control, this event notification gives you the visibility to check in and ensure that operating at maximum bound does not pose an availability risk for your application. This notification is available for all resource types that are supported for automatic scaling by Application Auto Scaling, including Amazon EC2 Spot Fleet requests, ECS services, DynamoDB tables and global secondary indexes, Aurora replicas, EMR clusters, Sagemaker endpoint variants, AppStream 2.0 fleets, Comprehend document classification endpoints, and AWS Lambda functions with provisioned concurrency.

Starting today you can monitor the traffic processed by AWS Global Accelerator via Amazon CloudWatch metrics. You can now view the total number of incoming and outgoing bytes processed by your accelerator. In addition, you can view the total number of new TCP or UDP flows from clients to your application endpoints every minute. This allows you, for example, to view the geographical distribution of your user traffic and monitor how much of it is local (e.g., North America to North America) or global (e.g., Australia or India to North America). Amazon CloudWatch metrics enable you to set alarms or automate actions based on predefined thresholds and to easily build dashboards that overlay different metrics.

Amazon Web Services (AWS) is pleased to release a major update to the SharePoint Server on AWS Quick Start. This Quick Start automatically deploys SharePoint Server 2019 on the AWS Cloud in your choice of a multiple-server or single-server topology in approximately 1-2 hours.

You can now use AWS Glue in the AWS China (Ningxia) region, operated by NWCD.