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AWS Updates - 2025-12-22

AWS What's New

AWS Deadline Cloud now supports direct job submission from the Deadline Cloud Monitor

AWS Deadline Cloud now lets you submit rendering jobs directly from the Deadline Cloud Monitor desktop application. This new feature makes it easier to submit renders for applications that don’t have built-in Deadline Cloud plugins or submission scripts, expanding compatibility with content creation tools and streamlining your rendering workflows.

Previously, you needed the command line interface (CLI) to submit job bundles. With this update, you can submit job bundles directly from Deadline Cloud Monitor desktop interface, managing jobs from start to finish in one place. It is particularly useful for legacy applications, specialized rendering tools, or custom workflows that lack built-in Deadline Cloud integration.

To access direct job submission, download the latest Deadline Cloud Monitor desktop application (version 1.1.7) in the AWS Console. To learn more about AWS Deadline Cloud job submission capabilities, see the AWS Deadline Cloud documentation.

Oracle Database@AWS now supports sharing of AWS Marketplace entitlements across accounts

Today, Oracle Database@AWS announced ability to share AWS Marketplace entitlements across accounts within an AWS Organization. With this feature, customers can now accept an Oracle Database@AWS AWS Marketplace offer in one AWS account, and share that entitlement with additional accounts in their AWS Organization. This allows customers to consume Oracle Database@AWS services from multiple AWS accounts using a single AWS Marketplace entitlement purchased for their organization.

Many Oracle Database@AWS customers use separate AWS accounts for their development and production environments, and for different business units within their organization. Customers want a single buyer agreement to use Oracle Database@AWS within their organization, and use the purchased AWS Marketplace entitlement across multiple business units, and across their development and production environments. With AWS Marketplace Managed Entitlements, customers can now share their Oracle Database@AWS entitlement with other accounts in their AWS Organization using AWS License Manager console or APIs. These accounts can accept and activate their shared AWS Marketplace entitlement from AWS License Manager, and then start consuming Oracle Database@AWS services using the shared entitlement.

This feature is available in all AWS Regions where Oracle Database@AWS is offered. For information about managing entitlements on Oracle Database@AWS, see documentation. To learn more about Oracle Database@AWS, visit the Oracle Database@AWS product page. 

Amazon ECS Service Connect enhances observability with Envoy Access Logs

Amazon Elastic Container Service (Amazon ECS) Service Connect now supports Envoy access logs, providing deeper observability into request-level traffic patterns and service interactions. This new capability captures detailed per-request telemetry for end-to-end tracing, debugging, and compliance monitoring.

Amazon ECS Service Connect makes it simple to build secure, resilient service-to-service communication across clusters, VPCs, and AWS accounts. It integrates service discovery and service mesh capabilities by automatically injecting AWS-managed Envoy proxies as sidecars that handle traffic routing, load balancing, and inter-service connectivity. Envoy Access logs capture detailed traffic metadata enabling request-level visibility into service communication patterns. This enables you to perform network diagnostics, troubleshoot issues efficiently, and maintain audit trails for compliance requirements.

You can now configure access logs within ECS Service Connect by updating the ServiceConnectConfiguration to enable access logging. Query strings are redacted by default to protect sensitive data. Envoy access logs will output to the standard output (STDOUT) stream alongside application logs and flow through the existing ECS log pipeline without requiring additional infrastructure. This configuration supports all existing application protocols (HTTP, HTTP2, GRPC and TCP). This feature is available in AWS GovCloud (US-West) and AWS GovCloud (US-East) regions where Amazon ECS Service Connect is supported. To learn more, visit the Amazon ECS Developer Guide.

Amazon Kinesis Video Streams now supports IPv6 for WebRTC

Amazon Kinesis Video Streams (Amazon KVS) now supports Internet Protocol version 6 (IPv6) addressing for WebRTC. This release introduces dual-stack endpoint support, enabling developers to use both IPv4 and IPv6 addresses to stream video from millions of devices. The dual-stack support is designed to ensure that existing IPv4 implementations continue to work reliably while gaining IPv6 connectivity benefits. Moreover, the update simplifies transition to IPv6 addresses while eliminating the need for address translation equipment.

This feature is available in all commercial AWS Regions where Amazon KVS is offered, except Asia Pacific (Singapore) and China (Beijing, operated by Sinnet). For implementation details, refer to the Amazon KVS Developer Guide.

Amazon GameLift Streams launches Gen6-based stream classes and enhanced autoscaling for better performance and pricing

Today, Amazon GameLift Streams launched two new capabilities to optimize performance and cost: Gen6 stream classes and enhanced autoscaling with warm buffer. The new Gen6 stream classes provide a wider range of price performance options, while autoscaling enables customers to dynamically manage capacity scaling. 

The seven new Gen6 stream classes available today are based on EC2 G6 instances powered by NVIDIA L4 Tensor Core GPUs, which provide up to 2x higher performance over Gen4 stream classes. The pro and ultra stream class deliver improved performance for graphics-intensive AAA games, while the medium and small stream class offer cost-efficient options for casual games. The gen6n_small stream class is available at $0.16/hour in us-east-2. 

The enhanced autoscaling capabilities provide automatic capacity management that scales provisioned capacity dynamically with demand, helping customers optimize utilization and stream start time for new players. Developers can use the new capacity controls (minimum, maximum, and target-idle capacity) to precisely manage their scaling needs. 

New Gen6 stream classes are available in five AWS Regions: US West (Oregon), US East (Ohio), US East (N. Virginia), Europe (Frankfurt), and Asia Pacific (Tokyo). Improved autoscaling is available in all AWS Regions where Amazon GameLift Streams is offered. To learn more and get started, visit:
AWS Docs: Gen6n based stream classes; Enhanced Autoscaling - Capacity configuration options;
API Reference Guide: Create Stream group with gen6n based stream class; Capacity configuration option for stream groups

Amazon GameLift Streams launches real-time performance stats and improved API error messaging

Today, Amazon GameLift Streams launched new powerful observability capabilities with session performance stats that provide real-time data for individual stream sessions, offering insights into application performance issues.

Game developers requested deeper visibility into session performance and resource utilization. The new stats we're delivering today help developers understand how their applications perform on specific stream classes and GPUs, giving them the data to make optimal GPU selections, optimize performance, and troubleshoot individual user experiences. Developers can now access detailed data on CPU, memory, GPU, and VRAM usage for active sessions through the GameLift Streams Web SDK, or view them in the AWS console's built-in overlay on the "Test stream" page. These performance stats can also be exported to a file for post-session analysis.

GameLift Streams also launched improved session status reasons and error messaging. Game developers now have deeper insights and actionable information on the reasons for stream session termination, enabling them to root cause unexpected termination and improve their troubleshooting experience. 

The stream session performance stats and improved API error messaging are available in all AWS Regions where Amazon GameLift Streams is offered at no additional cost.

To get started with these new features, create new stream groups. To integrate session performance stats into your clients, download the updated Web SDK 1.1.0.

To learn more, visit:
AWS Docs: Real-time performance stats; Export stream session files
API Reference: Stream Session > Status Reason

Research and Engineering Studio on AWS Version 2025.12 now available

Today we announce Research and Engineering Studio (RES) on AWS version 2025.12, which introduces tag propagation for CloudFormation resources, enhanced Windows domain configuration options, default session scheduling, and security improvements.

Research and Engineering Studio on AWS is an open source solution that provides a web-based portal for administrators to create and manage secure cloud-based research and engineering environments. RES enables scientists and engineers to access powerful Windows and Linux virtual desktops with pre-installed applications and shared resources, without requiring cloud expertise.

Tags applied to the CloudFormation stack now propagate to all resources created during RES deployment, making it easier to track costs and manage resources across your organization. Administrators can disable automatic Windows domain joining for hosts, providing flexibility to implement custom domain-join logic when needed. You can now set a default schedule for all new desktop sessions, helping teams standardize session management practices. This version includes several security improvements to help RES deployments meet the NIST 800-223 standard and fixes a bug where some sessions were logged out after 2 minutes when using a custom DNS domain.

This release is available in all AWS Regions where RES is available. To learn more about RES 2025.12, including detailed release notes and deployment instructions, visit the Research and Engineering Studio documentation or check out the RES GitHub repository.

AWS Storage Gateway now supports Nutanix AHV hypervisor

The AWS Storage Gateway service now supports the Nutanix AHV hypervisor as a deployment option for S3 File, Tape and Volume gateways. If you use Nutanix AHV hypervisor-based on-premises infrastructure, you can now deploy Storage Gateway in your environment to access virtually unlimited cloud storage.


Nutanix AHV (Acropolis Hypervisor) is a KVM-based virtualization platform that is integrated into the Nutanix hyper-converged infrastructure (HCI) solution. With this launch, you have the option to deploy Storage Gateway on a Nutanix AHV hypervisor.


Storage Gateway is a hybrid cloud storage service that provides on-premises applications access to virtually unlimited cloud storage using NFS, SMB, iSCSI, and iSCSI-VTL interfaces. You can use the service to backup and archive data to AWS, shift on-premises storage to cloud-backed file shares, and provide on-premises applications low-latency access to data in AWS. You can deploy Storage Gateway as a virtual appliance (VMware ESXi, Microsoft Hyper-V, Linux KVM, and now Nutanix) on premises or as an Amazon EC2 instance in AWS.

This capability is available in all AWS Regions. Visit the Storage Gateway User guide to learn more, or log into the Storage Gateway management console to get started.

Announcing AWS Neuron SDK 2.27.0

Today, AWS announces Neuron SDK 2.27.0, introducing support for Trainium3 UltraServer with expanded open source components. Neuron also introduces the Neuron Explorer tools suite, Enhanced NKI with open source NKI Compiler built on MLIR (private beta), the NKI Library of optimized kernels, native PyTorch support through TorchNeuron (private beta), and Neuron DRA for Kubernetes-native resource management (private beta).

These updates enable standard frameworks to run unchanged on Trainium, removing barriers for researchers to experiment and innovate. For developers requiring deeper control, the enhanced Neuron Kernel Interface (NKI) Beta 2 provides direct access to hardware-level optimizations, enabling customers to scale AI workloads with improved performance. If you're interested in early access to new NKI features and improvements, you can join the Neuron private beta program.

The new SDK version is available in all AWS Regions supporting Inferentia and Trainium instances, offering enhanced performance and monitoring capabilities for machine learning workloads.

For more details, see:

AWS Wickr launches admin APIs for programmatic network management at scale

AWS Wickr now provides a suite of admin APIs that empower administrators to programmatically manage secure communication networks at scale. These APIs enable you to automate critical administrative workflows including user lifecycle management, network configuration, and security group administration. With user lifecycle management APIs, you can automatically create users and assign security groups when employees join, or deactivate accounts when they leave. Network configuration APIs allow you to quickly create or delete networks on demand as your organization scales or restructures, and push standardized retention and federation policies across departments. Security group administration APIs enable automatic user placement based on directory attributes such as job function or clearance level. By connecting Wickr administration directly into your identity management systems, policy management frameworks, and automation pipelines, you can now manage secure communications infrastructure across thousands of users alongside your other cloud service integrations.


AWS Wickr is a security-first messaging and collaboration service designed to help keep your communications secure, private, and compliant. AWS Wickr protects messaging, voice and video calling, file sharing, screen sharing, and location sharing with end-to-end encryption. Customers have full administrative control over data and users, including single sign-on (SSO) integration. Administrators can enforce policies that set password complexity and retention rules, configure ephemeral messaging options, or remotely delete credentials. You can log conversations to a private data store so you can retain messages and files sent to and from the organization to meet compliance requirements.

The AWS Wickr Admin APIs are available today in all AWS regions where AWS Wickr is currently supported, including AWS GovCloud (US-West). You can leverage these APIs through AWS SDKs, the AWS Command Line Interface (AWS CLI), or direct REST API calls. To learn more, see: