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.

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.

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.

Amazon Elasticsearch Service now offers self-service updates, giving you the flexibility to control when to update your domains. You can now update your domain with a single click. Previously, new product features and enhancements were deployed on a rolling schedule. With self-service updates, you can adopt new features as they arrive and update your domains at the time of your choosing. To see when an update is available for your domain, you can simply log in to the Amazon Elasticsearch Service console or check with the REST API. 

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

Amazon CloudFront announces six new Edge locations, across four continents. In the United States, the new locations are in Chicago, Newark, and Ashburn. Internationally, the new locations are in Munich, Tokyo, and Rio de Janerio. Just over one year ago, we announced our 100th Edge location in Tokyo. The addition of these six new locations today now brings CloudFront’s total network to 150 Points of Presence worldwide, across 65 cities and 29 countries.

We also just celebrated CloudFront’s ten-year anniverary a few days ago. To read more about CloudFront’s tenth anniversary, read our blog which dives into the story of how CloudFront was created in response to an internal challenge from Jeff Bezos and Andy Jassy. Thank you for being a part of our evolutionary journey. Here’s to the next ten years!

Starting today, you can enable Origin Failover for your Amazon CloudFront distributions to improve the availability of content delivered to your end users.

You can now use Amazon CloudFront for applications using the WebSocket protocol to provide improved performance and security to your end users.

Amazon Elasticsearch Service revamped cluster health monitoring to provide detailed cluster and node-level metrics that help you understand the health of your Elasticsearch domains. With 22 new metrics, including indexing rate, query latency, and HTTP response codes, it is easy to track query and indexing performance, request success rates, and JVM health. Additionally, with node-level metrics, you can quickly see the health of all of the Elasticsearch nodes in your domain and drill down on any potential issues. To complement the new metrics, we have integrated with CloudWatch Dashboards to enable one-click dashboards creation, enabling you to create fully customizable dashboards and easily set up CloudWatch Alarms on your domain and instance metrics. All of the new metrics are available in the updated Amazon Elasticsearch Service console. To learn more, please refer to our documentation .