Starting today, AWS Systems Manager Explorer provides a summary of AWS Config rules and associated resource compliance, to help you check overall compliance status and quickly find non-compliant resources. Systems Manager Explorer is an operations dashboard that provides a view of your operations data across your AWS accounts and Regions, helping you see where you may need to investigate and remediate operational issues. AWS Config enables you to assess, audit, and evaluate the configurations of your AWS resources.

You can now use AWS Lake Formation in the AWS GovCloud (US-West) Region.

Today, we are announcing the availability of two new AWS Wavelength Zones on Verizon’s 5G Ultra Wideband network in Dallas and Miami. Wavelength Zones are now available in seven cities, including the five previously announced cities of Boston, San Francisco Bay Area, New York City, Washington DC, and Atlanta. 

We are pleased to announce the release of NICE DCV version 2020.2 with the following new features:

• DCV Session Manager – It is an optional component that provides REST APIs to create and manage the lifecycle of a session across a fleet of DCV servers. It is available at no cost for AWS customers running DCV on Amazon EC2 instances and for on-prem customers with DCV Plus and DCV Professional Plus licenses.*
• Improved support for high-frame rate use cases – DCV frame rate limiter is now set to 60 FPS, by default, for console sessions on servers and Amazon EC2 instances with an NVIDIA GPU. Furthermore, by enabling the new QUIC-based transport protocol, customers running high frame rate, highly dynamic workloads, such as gaming, can experience more fluid and responsive streaming quality, especially under sub-optimal network conditions.
• Support for SLES 15 and Ubuntu 20.4 – Customers can now use DCV server and client components on SUSE Linux Enterprise 15 and Ubuntu 20.4 hosts.
• Smart Card Redirection for Windows server – Applications running in a remote Windows session can now use smart cards connected to the customer’s client machine. This feature was already available for Linux servers.

Today AWS announced the availability of AWS Gateway Load Balancer , a new service that helps you deploy, scale, and manage third-party virtual network appliances such as firewalls, intrusion detection and prevention systems, analytics, visibility and others. An addition to the Elastic Load Balancer family, AWS Gateway Load Balancer combines a transparent network gateway (that is, a single entry and exit point for all traffic) and a load balancer that distributes traffic and scales your virtual appliances with the demand.

Today we introduced several new features for AWS Elemental Link along with expanded region availability. Link devices can now ingest video into all regions where AWS Elemental MediaLive is supported.

AWS Amplify offers a fully managed static web hosting service that accelerates your application release cycle by providing a simple CI/CD workflow for building and deploying full-stack static web applications. Simply connect your application’s code repository in the console, and changes to your frontend and backend are deployed in a single workflow on every code commit.  

Amazon Redshift, a fully-managed cloud data warehouse, now supports automatic refresh and query rewrite capabilities to simplify and automate the usage of materialized views. The automatic refresh feature helps administrators to keep materialized views up-to-date, while the automatic query rewrite feature enables end-users to easily benefit from improved query performance.

You can now sign up to receive event notifications on your Amazon Neptune DB clusters, DB instances, DB cluster snapshots, parameter groups, or security groups. Whenever certain events occur, event notifications can be sent in any notification form supported by the Amazon Simple Notification Service (SNS) for an AWS Region, such as an email, a text message, or a call to an HTTP endpoint.

Amazon Aurora now supports T3.large and medium instances as well as R5 class instances in AWS GovCloud (US) Regions. Using T3.large instances with Amazon Aurora is a cost-effective option for smaller workloads such as test, development, and QA, while still giving you the option to use larger class instances for production deployments.