You can now get aggregated views of the health and performance of all AWS resources through
CloudWatch Automatic Dashboards. This enables you to quickly get started with monitoring, explore account and resource-based view of metrics and alarms, and easily drill-down to understand the root cause of performance issues. 

You can now analyze live video at scale in real time using the Amazon Kinesis Video Streams Inference Template (KIT) for Amazon SageMaker. The KIT enables you to build scalable, real-time, ML-driven video analytics pipelines without using other libraries or writing custom software. You can attach Kinesis video streams to Amazon SageMaker endpoints in minutes and quickly deploy your machine learning algorithms to analyze live video feeds on the AWS Cloud. 

Amazon Neptune now allows you to use HTTPS to encrypt data in transit between your graph database clients and the Neptune service endpoints. This enhancement uses the industry-standard Transport Layer Security (TLS) 1.2 protocol to encrypt all data sent to and from connected clients. 

You can now create alarms on metric math expressions such as +, -, /, *, and mathematical functions such as Sum, Average, Min, Max, and Standard Deviation. This enables you to create thresholds and set automated actions to fix operational issues. 

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.

You can now defer maintenance of your Amazon Redshift cluster to keep your data warehouse running without interruption during critical business periods. You will now also receive advance notifications from Amazon Redshift prior to any upcoming maintenance on your cluster.

Amazon Translate is a fully managed neural-network based machine translation service that delivers high-quality, real-time, and affordable language translation. Today, we are announcing that Amazon Translate now supports the following eight new languages: Danish, Dutch, Finnish, Hebrew, Indonesian, Korean, Polish, and Swedish. These languages expand upon the existing 13 languages already available in Amazon Translate. With the new languages and quality improvements across many others, we are adding 280 new language pairs, for a total of 417. For a full list, see the Amazon Translate documentation .

Today, Amazon AppStream 2.0 released a new Windows Client. The Windows Client lets you use dual monitors and USB peripherals such as 3D mice with your applications on AppStream 2.0. Dual monitors improve multi-tasking by providing additional screen space, and 3D mice make it easier to use design applications on AppStream 2.0. The Windows Client also supports keyboard shortcuts, such as Alt + Tab, clipboard shortcuts, and function keys.

Administrators can download the AppStream 2.0 Windows Client from https://clients.amazonappstream.com and install it remotely for all users in their organization. They can then configure the client to launch with their SAML 2.0 sign-in portal to allow their users to easily sign in and start using their applications on AppStream 2.0. They can also configure application streaming links to launch in the Windows Client instead of a browser. To learn more about how to deploy and use the Windows Client visit the documentation .

USB peripherals and keyboard shortcuts are supported on all streaming instances, and dual monitors on general purpose, compute optimized, memory optimized, and graphics pro streaming instances. The Windows Client is compatible with Windows 7, 8, 8.1 and 10. AppStream 2.0 offers pay-as-you-go pricing. Please see Amazon AppStream 2.0 Pricing for more information, and try our sample applications.

AWS Batch now supports multi-node parallel jobs, which enables you to run single jobs that require multiple EC2 instances. Multi-node parallel jobs allow customers with tightly coupled, distributed computing workloads to take advantage of AWS Batch’s fully managed batch computing capabilities, avoiding the complexities of provisioning, managing, monitoring, and scaling their compute clusters, and reducing cost and operational overhead.

Starting today, you can use AWS Batch with workloads running on AMD-based r5a and m5a instances.