Today, AWS Systems Manager Parameter Store launched intelligent-tiering to enable automatic parameter tier selection. If you have unknown or changing patterns of parameter count, value size or parameter policies, you can use intelligent-tiering setting to allow Parameter Store to select the standard or advanced tier for you. This selection is based on the create or update request and eliminates the need for you to change your application code.  

Amazon SageMaker now supports Amazon Elastic File System (Amazon EFS) and Amazon FSx for Lustre file systems as data sources for training machine learning models on SageMaker. Amazon FSx for Lustre is a high performance file system optimized for workloads, such as machine learning, analytics and high performance computing. Amazon EFS provides a simple, scalable, elastic file system for Linux-based workloads for use with AWS Cloud services and on-premises resources. Support for these file systems accelerates and simplifies using Amazon SageMaker to train models with data sets. The file system data source reduces the start-up time by eliminating the data download step of the training process and leveraging the various performance and throughput benefits of the file system to execute the training job faster.

Amazon SageMaker now supports a new fully managed option called Managed Spot Training for training machine learning models using Amazon EC2 Spot instances. Spot Instances let you take advantage of unused compute capacity in the AWS cloud, and as a result, you can optimize the cost of training machine learning models by up to 90% compared to on-demand instances.

The Nuvoton NuMaker-IoT-M487 development board is now qualified for Amazon FreeRTOS. You can take advantage of Amazon FreeRTOS features and benefits using development kits available from Nuvoton.  

Starting today, HTTPS client support in Amazon FreeRTOS is generally available. You can now use the HTTP/HTTPS protocol to easily connect your microcontroller-based IoT devices running Amazon FreeRTOS to AWS IoT and download files to your devices.  

AWS IoT Device Tester for Amazon FreeRTOS v1.4.0 now supports Amazon FreeRTOS 201908.00. With this release, microcontroller vendors can qualify development boards for the latest Amazon FreeRTOS with updated PKCS#11 test groups. AWS IoT Device Tester v1.4.0 also comes with actionable error messages for vendors to troubleshoot faster.

AWS Systems Manager enables you to manage large hybrid environments through an advanced on-premises instance management tier. With this launch, the advanced tier is now available in AWS China (Beijing) Region operated by Sinnet, and AWS China (Ningxia) Region operated by NWCD. The advanced tier enables you to manage hybrid environments with over 1,000 instances. The advanced tier also enables advanced functionality, such as using interactive shell access with Systems Manager Session Manager to connect to on-premises instances. Session Manager removes the need to open inbound ports, manage SSH keys, or use bastion hosts.  

AWS Systems Manager Distributor is a new feature that you can use to securely store and distribute software packages, such as software agents, in your accounts. Distributor integrates with existing Systems Manager features to simplify and scale the package distribution, installation, and update process. 

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add a speech-to-text capability to your applications. Amazon Transcribe now supports transcription of audio in the following new languages: Russian and Chinese Mandarin-Mainland. These languages expand upon the existing languages already available in Amazon Transcribe: US English, UK English, AU English, Indian English, Spanish, US Spanish, French, Canadian French, Italian, German, Brazilian Portuguese, Hindi, Korean, and Modern Standard Arabic.

Amazon ElastiCache introduces online vertical scaling for Redis Cluster mode. You can now scale up or scale down your sharded Redis Cluster on demand. Amazon ElastiCache resizes your cluster by changing the node type, while the cluster continues to stay online and serve incoming requests.