AWS IoT SiteWise now supports linear interpolation, enabling customers to estimate and retrieve the values of missing data points in their time series data.
AWS Launch Wizard now supports SAP deployments with SUSE Linux Enterprise Server 15 SP2 and RHEL 8.2
AWS Launch Wizard now allows customers to deploy SAP workloads using SUSE Linux Enterprise Server 15 SP2 and RedHat Enterprise Linux 8.2.
Amazon ECS on AWS Fargate now allows you to configure the size of ephemeral storage for your Tasks
Amazon Elastic Container Service (Amazon ECS) on AWS Fargate now lets you configure the size of ephemeral storage for your Tasks up to a maximum of 200GiB. All ephemeral storage on AWS Fargate continues to be encrypted by default with service-managed keys.
Amazon Monitron Service is Now Available in the Europe (Ireland) region
Amazon Monitron is an end-to-end system that uses machine learning (ML) to detect abnormal conditions in industrial equipment, enabling you to implement predictive maintenance and reduce unplanned downtime. It includes sensors to capture vibration and temperature data from equipment, a gateway device to securely transfer data to AWS, the Amazon Monitron service that analyzes the data for abnormal equipment conditions using machine learning, and a companion mobile app to set up the devices and receive reports on operating behavior and alerts to potential failures in your equipment. Today, we are announcing that the Amazon Monitron service is now also available in Europe (Ireland). This is in addition to the US East (N.Virginia) region where the Amazon Monitron service is already available.
Amazon Connect reduces 26 rates in Latin America
Amazon Connect is announcing 26 telephony rate reductions for customers in Costa Rica, Panama, and El Salvador from the US East (N. Virginia) and US West (Oregon) regions.
New Developer Desktop Feature in AWS RoboMaker Integrated Development Environment (IDE)
AWS RoboMaker has released a new feature that enables developers to open a desktop session to the IDE and run graphical tools to interact with simulations. AWS RoboMaker IDE provides a cloud robotics workspace that is preconfigured with the essential tools to start building and testing robot applications without needing to provision additional hardware. This feature provides a single space for developers to get started with building and simulating robotics applications.
New AWS Solutions Implementation: AWS Blueprints
We are delighted to announce the addition of AWS Blueprints to the AWS Solutions Implementations portfolio. AWS Solutions Implementations help you solve common problems and build faster using the AWS platform.
Amazon Kinesis Data Analytics for Apache Flink introduces custom maintenance windows in preview
Amazon Kinesis Data Analytics for Apache Flink now supports UpdateApplicationMaintenanceConfiguration in preview. Amazon Kinesis Data Analytics periodically patches the underlying infrastructure of applications with OS and container-image security updates to meet AWS compliance and security goals during the default maintenance windows in each region. You can use UpdateApplicationMaintenanceConfiguration via the CLI or the API to choose your preferred maintenance window start times for an application.
AWS RoboMaker announces support for Robot Operating System (ROS) 2 Foxy and Gazebo 11
AWS RoboMaker, now supports ROS 2 Foxy Fitzroy (ROS 2 Foxy), which is the latest long-term support (LTS) release for ROS 2, and its compatible simulation engine, Gazebo 11, and Ubuntu 20.04 (Focal Fossa) operating system.
AWS Glue DataBrew announces native console integration with Amazon AppFlow to connect to data from SaaS (Software as a Service) applications and AWS services (in Preview)
AWS Glue DataBrew announces native console integration with Amazon AppFlow to connect to data from applications like Salesforce, Zendesk, Slack, ServiceNow, and tens of other Software-as-a-Service (SaaS) applications, and AWS services like Amazon S3 and Amazon Redshift. To get started, when you create a new dataset in DataBrew , you can pick from a list of pre-configured flows from AppFlow that load data (scheduled by, by event and on-demand) into Amazon S3 or create a new flow . The transferred data has to be in S3 before you can use them as input for DataBrew. You can then clean and normalize this data in DataBrew, and join, union, aggregate or combine with datasets from other data stores or SaaS applications. You can leverage already available 250+ transformations to prepare data for analytics of machine learning, without writing any code. Learn more about supported AppFlow sources and destinations .