9/16/2026, 12:00:00 AM ~ 9/17/2026, 12:00:00 AM (UTC)

Recent Announcements

AWS Client VPN is now supporting MacOS 27 Golden Gate

AWS Client VPN now supports MacOS 27 Golden Gate client with versions 6.0+ You can now run the AWS supplied VPN client on the latest MacOS versions. AWS Client VPN desktop clients are available free of charge, and can be downloaded here.\n AWS Client VPN is a managed service that securely connects your remote workforce to AWS or on-premises networks. It supports desktop clients for MacOS, Windows x64, Windows Arm64 and Ubuntu-Linux. With client version 6.0 onwards, Client VPN now supports the latest MacOS  Golden Gate 27.0. It already supports Mac OS version 13.0, 14.0, 15.0, and 26.0, Windows 10 (x64) and Windows 11 (Arm64 and x64), and Ubuntu Linux 22.04 and 24.04 LTS versions. To learn more about Client VPN:

Visit the AWS Client VPN product page

Read the AWS Client VPN documentation

Read the AWS Client VPN user guide

New AWS experience helps builders get started and ship faster

Builders can now sign up for a new simplified experience that makes it faster to turn ideas into running code on AWS. AWS services provide an array of configuration options so that the largest enterprises can customize settings for their distinct needs. Until now, builders with a new project idea had to decide among these options and configure their AWS environment before beginning to build. The new experience reduces setup effort by simplifying sign-up and automatically configuring an initial project with sensible defaults so builders can begin implementing their idea immediately.\n When you sign up, you can use your existing Google, GitHub, Apple, or Amazon credentials. For most new customers, no credit card is required and you will receive up to $200 in free credits as part of the AWS Free Tier. Once signup is complete, you can connect your coding agent to AWS with a single prompt that automatically installs the AWS CLI and the Agent Toolkit for AWS. Your coding agent connects to your project and uses built-in guidance to deploy resources using best practices.

As your project expands, you can invite team members to collaborate with you by email. When a team member accepts your invitation, their project access is configured automatically. Similarly, many of the AWS resources you create can access resources in other AWS services automatically because the new IAM role manager capability is enabled for your projects. When you’re ready to upgrade to a paid plan, you can set a monthly spend limit for your project based on your usage patterns so that you stay within your budget. If a project’s usage reaches its spend limit, your project is paused for that month. You can create additional projects with one click, each with its own spend limit and distinct team members. At any time, you can activate advanced features without migration or downtime, enabling you to use additional features such as multiple AWS Regions and custom governance controls.

To try the new experience, create a new AWS account. To learn more, see AWS reimagines the getting started experience on the AWS News Blog.

Amazon WorkSpaces adds support for NVIDIA Blackwell GPU instances

Amazon WorkSpaces Personal and Amazon WorkSpaces Core now support Graphics G7 bundles, built on NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and Intel Xeon 6 processors. Graphics G7 delivers up to 2.1x better performance for graphics-intensive workloads compared to previous generation Graphics G6 bundles. Four bundle sizes are available, ranging from 8 vCPUs, 32 GB of memory, and one GPU up to 48 vCPUs, 192 GB of memory, and two GPUs.\n With Graphics G7, you can run demanding professional applications such as CAD/CAM, 3D rendering, scientific visualization, video editing, and AI-assisted design workflows at higher fidelity and frame rates. Each GPU provides 32 GB of GDDR7 memory, enabling larger and more complex 3D scenes and models. Graphics G7 bundles are available with Windows, including bring-your-own-license, and support both AlwaysOn and AutoStop running modes.

Graphics G7 bundles are available for both WorkSpaces Personal and WorkSpaces Core in US East (N. Virginia), US East (Ohio), and US West (Oregon). Additional Regions will be added as availability expands.

To get started, select a Graphics G7 bundle when creating a workspace in the Amazon WorkSpaces console, or through your Workspaces Core partner solution. For more information on available instance types, see WorkSpaces Personal Instance Families. To learn more about G7 GPU capabilities, visit the EC2 G7 Instance Types page. For pricing details, see Amazon WorkSpaces Personal Pricing or Core Bundles Pricing.

Amazon Connect Customer custom metrics now supports tag-based access control

Amazon Connect Customer now supports tag-based access control for custom metrics, so you can govern which users and roles can view, create, or modify each custom metric.\n As more teams across your organization adopt custom metrics, they end up editing the same shared library. Without controls, one person can change a metric that other teams count on. The usual fix is to give only a handful of people permissions to custom metrics, but that shuts out every other team that wants to start using them.  

Now you can tag each metric, then use those tags to set access: a team gets full control of their own metrics, view-only access to another team’s, and no visibility into the metrics you restrict. Search follows the same access rules, so people only see the metrics they’re allowed to view or manage.

Amazon Connect Customer can now import evaluation form PDFs using AI

Amazon Connect Customer now lets managers import a PDF of an evaluation form from a third-party quality management application, and automatically recreates it in Connect using AI, making it easier to migrate an existing quality program into Connect. Instead of rebuilding an existing form question by question, you upload the PDF and choose the preferred scoring method, either percentage or points-based, and Connect Customer automatically extracts the sections, questions, answer options, and scoring into a draft evaluation form. You can also provide natural language instructions to import the form more accurately or to adjust it as it’s created — for example, splitting a broad question into simpler ones — minimizing the manual edits needed before you activate the form.\n This feature is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Canada (Central), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Europe (Frankfurt). To learn more, please visit our documentation and our webpage. For information about Amazon Connect Customer pricing, please visit our pricing page.

AWS Elemental MediaTailor Monetization Functions adds ad response hooks

AWS Elemental MediaTailor now supports two additional lifecycle hooks for monetization functions: post ad decision server (ADS) response, and pre manifest insertion. MediaTailor is a video service that personalizes and inserts ads into live and on-demand streams. Monetization functions run customer-defined logic at defined points in an ad-personalized playback session, removing the need for a middleware tier between MediaTailor and the ADS.\n The post ADS response hook runs after MediaTailor parses an ADS response and resolves all Video Ad Serving Template (VAST) wrappers, before ads are selected and transcoded. Customers use it to call a secondary ad source when the primary ADS returns less demand than the ad break can hold, remove ads that their content or brand policies do not permit, and add house ads or promotions from their own marketing systems. The pre manifest insertion hook runs at the last point before MediaTailor returns the ad pod to the viewer, and receives every newly personalized ad break in a single invocation. Customers use it as a final check on what is about to play, including inserting a personalized slate when a break cannot be filled any other way. Pre-built recipes in the MediaTailor console give customers a starting point for each of these use cases. Both hooks are fail-open: on a timeout, expression error, or resource limit, MediaTailor discards the function output and continues with default ad insertion, so viewer playback is unaffected.

The new hooks are available in all AWS Regions where AWS Elemental MediaTailor is available. To learn more, see Monetization Functions in the AWS Elemental MediaTailor User Guide and the MediaTailor pricing page. To get started, sign in to the AWS Elemental MediaTailor console.

Amazon ECS extends Amazon S3 Files support to the Amazon EC2 compute type

Amazon Elastic Container Service (Amazon ECS) now supports Amazon S3 Files for tasks running on the Amazon EC2 launch type, enabling customers to connect their containerized applications directly to data in Amazon S3 as a shared file system. With this launch, customers running ECS workloads on EC2 instances can work with their S3 data using standard file system semantics, so file-based applications, AI agents, and data processing workloads run on S3 data with no code changes and without duplicating or staging files first. S3 Files support was previously available for ECS tasks on AWS Fargate and ECS Managed Instances, and now extends to the EC2 launch type, giving customers consistent access to S3 Files across all three ECS launch types.\n Amazon S3 Files, built on Amazon EFS, delivers a shared file system that connects AWS compute resources directly with data in Amazon S3, providing full file system semantics and low-latency performance without data leaving S3. S3 Files works with new and existing data in S3 buckets, with no migration required. Customers can mount an Amazon S3 Files volume in their Amazon ECS tasks to read and write data in an S3 bucket using standard file system operations, with no application code changes and no need to copy or stage data. Amazon S3 Files support is available in all AWS commercial Regions and the AWS GovCloud (US) Regions. To learn more, refer our documentation.

Amazon Connect Customer now lets you create, manage, and search custom metrics through APIs

Amazon Connect Customer provides a library of standard metrics. Custom metrics let you go further; defining the measurements unique to your business. But managing them across various instances manually means definitions slowly drift until the numbers no longer align. A metric you can’t trust is worse than no metric at all, because people still make decisions on it.\n Now you define a metric once and manage it programmatically through seven new API operations (CreateMetric, DeleteMetric, DescribeMetric, ListMetrics, SearchMetrics, UpdateMetricContent, and UpdateMetricMetadata) so your definitions stay consistent as you scale across queues, teams, and environments. For example, a customer experience leader noticing a drop in self-service completion rates can define a custom metric that tracks the percentage of interactions where customers abandon and request a live agent within 90 seconds. Using the API, an AI-powered operations assistant can automatically create the metric and publish it to a monitoring dashboard — no manual console work, no definition drift across environments. Every change is tracked in AWS CloudTrail, giving you a complete audit trail.

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