Amazon MQ now supports RabbitMQ , a popular open source message broker. This enables you to migrate your existing RabbitMQ message brokers to AWS without having to rewrite code. Amazon MQ is a fully managed service that provisions and manages open source message brokers like RabbitMQ and Apache ActiveMQ for you. Amazon MQ for RabbitMQ manages both individual and clustered message brokers and handles tasks like provisioning the infrastructure, setting up the broker, and updating the software.

Amazon RDS for SQL Server now supports Database Mail. With Database Mail you can send email messages from your Amazon RDS for SQL Server database instance. After specifying the email recipient(s), you can add files or query results to the message you send. 

RDS Data API now supports tag-based authorization to enable easy management of access to Amazon Aurora Serverless clusters.  

Amazon Honeycode has introduced three new app templates that help you build mobile & web apps for managing work in teams – with no programming required. Honeycode app builders can now launch app templates for applicant tracking, instant polls, and collaborative brainstorming in addition to Honeycode’s existing template library . The new templates are intended for Honeycode builders who are seeking more app examples or want to build an app faster than starting from scratch.  

We are excited to announce that Elastic Fabric Adapter (EFA) now supports NVIDIA GPUDirect Remote Direct Memory Access (RDMA). GPUDirect RDMA support on EFA will be available on Amazon Elastic Compute Cloud (Amazon EC2) P4d instances– the next generation of GPU-based instances on AWS. P4d provides the highest performance for machine learning (ML) training and high performance computing (HPC) in the cloud for applications such a natural language processing, object detection and classification, seismic analysis, and computational drug discovery. GPUDirect RDMA support on EFA enables network interface cards (NICs) to directly access GPU memory. This avoids extra memory copies, making remote GPU-to-GPU communication across NVIDIA GPU-based Amazon EC2 instances faster, and reduces orchestration overhead on CPUs and user applications. As a result, our customers running applications using NVIDIA Collective Communications Library (NCCL) on P4d will be able to further accelerate their multi-node tightly-coupled workloads.

We are excited to announce the availability of Amazon EC2 P4d instances, the next generation of GPU-based instances that provide the best performance for machine learning (ML) training and high performance computing (HPC) in the cloud for applications such as natural language processing, object detection and classification, seismic analysis, and genomics research. P4d instances are powered by the latest NVIDIA A100 Tensor Core GPUs and provide first in the cloud 400 Gbps instance networking with support for Elastic Fabric Adapter (EFA) and NVIDIA GPUDirect RDMA (remote direct memory access) to enable efficient scale-out of multi-node ML training and HPC workloads.

AWS IoT SiteWise, a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale, now supports three new visualization options in SiteWise Monitor :

• AWS IoT SiteWise Monitor now supports Status charts , a chart type that visualizes data that has a small number of well-defined states. With Status charts, you can now visualize live equipment status as a grid, or view historical status as a timeline simply by configuring conditional thresholds using , ≤, ≥, and = operators and assigning colors to the thresholds. For example, for a temperature sensor, you can define a temperature value greater than, say, 80° F as “RED” and anything less than or equals to 80° F as “GREEN” so that you can easily visualize whether the temperature is currently RED (above 80° F) or GREEN (less than or equals to 80° F), or when the temperature has been GREEN and RED over a period of time in the past.
• AWS IoT SiteWise Monitor now supports Scatter charts , a chart type that helps customers visualize distinct data points (without connecting lines) for live and historical operational data. With Scatter charts, you can look for any correlations between the measured values over a period of time. Scatter charts provide a cleaner visualization of the overall spread of operational data from processes, devices, and equipment plotted against time. Scatter charts also help with visualizing and comparing sensor data and manually-ingested data in the same chart in SiteWise.
• AWS IoT SiteWise Monitor now supports Trend lines , a linear regression line that best approximates the relationship between measured data and time. With Trend lines, you can now intuitively identify gradual shifts and changes in your live and historical data simply by adding trend lines to any of your Line, Scatter, and Bar charts. For example, in a windfarm, if you see a gradual decline in the power output trend line from a wind turbine while there is a flat and steady wind speed trend line, you can easily identify a power conversion efficiency issue with the wind turbine and immediately deploy field technicians to inspect and troubleshoot the wind turbine.

Amazon GuardDuty is now available in the AWS GovCloud (US-East) Region. You can now continuously monitor and detect security threats in this region to help protect your AWS accounts, workloads, and data stored in Amazon S3. 

AWS IoT SiteWise now supports AWS CloudFormation, enabling customers to create and manage SiteWise Asset Models, Assets and Gateway resources using CloudFormation.

Starting today, AWS customers can use Amazon Kendra to build intelligent search applications in the Asia Pacific (Sydney) AWS Region.