AWS Organizations now provides maximum account quota visibility in Service Quotas

AWS Organizations customers can now view their maximum number of accounts quota and its utilization directly through AWS Service Quotas instead of relying on AWS Support or AWS account teams to determine their current account limit. Customers can now proactively plan account growth with ease by monitoring their current account quota utilization and requesting increases before reaching their limit. They can view this quota by logging into management account and accessing the Service Quotas console or calling the Service Quotas GetServiceQuota API. This quota visibility is available now available in US East (N. Virginia). To learn more, see viewing service quotas in the AWS Service Quotas documentation. For more information about AWS Organizations quotas and service limits, see the AWS Organizations documentation.
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AWS Resilience Hub now provides recommended resilience tests

AWS Resilience Hub now offers recommended resilience tests that help platform engineering and site reliability teams validate how their services respond to and recover from known failure scenarios. 
Resilience Hub provides pre-configured tests based on your service’s architecture, configuration, and resilience policy. It uses AWS Fault Injection Service (FIS) to inject controlled faults and then evaluates whether your service recovers within your defined recovery objectives. With the AWS-recommended resilience tests, teams can validate readiness for scenarios such as Availability Zone impairment, Regional impairment, and dependency failure. Each test automatically targets resources in the service, injects the required faults, produces a pass or fail outcome based on alarm evaluation and recovery objectives, then generates a detailed test report.
The recommended testing on the next generation of the AWS Resilience Hub is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Canada (Central), Europe (Ireland), Europe (London), Europe (Frankfurt), Europe (Paris), Europe (Stockholm), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), and South America (São Paulo).
To get started, visit the AWS console. To learn more about recommended resilience testing see the product page for the next generation of AWS Resilience Hub. 
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Amazon GameLift Streams now supports sharing streams with stream URLs

Amazon GameLift Streams now offers stream URLs, which give end users temporary, unauthenticated access to a playable stream session in a supported web browser. Recipients need no AWS account, no credentials, and no software install.
To share a playable stream, create a stream URL for a stream group and one of its applications, set how long the stream URL stays valid and how many sessions it can start, and send the link. Each person who opens the link starts an independent stream session, and Amazon GameLift Streams routes them to a nearby streaming location from the locations you selected. No client integration or backend service is required. You can create, monitor, and revoke stream URLs in the Amazon GameLift Streams console or with the new CreateStreamUrl, GetStreamUrl, ListStreamUrls, and RevokeStreamUrl APIs.
There is no additional charge for stream URLs. You are charged for the stream capacity that sessions started from a stream URL consume, as described on the Amazon GameLift Streams pricing page. For a full list of supported Regions, see the AWS Region table.
To get started, see Share stream sessions with stream URLs in the Amazon GameLift Streams Developer Guide and the CreateStreamUrl API Reference. To learn more about the service, see the Amazon GameLift Streams product page. 
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OpenAI GPT-5.6 Sol, Terra, and Luna now support 1 million token context windows on Amazon Bedrock

GPT-5.6 Sol, Terra, and Luna now support 1 million token context windows on Amazon Bedrock, enabling you to process full codebases, lengthy documents, and multi-turn agent histories in a single request. Models reason over broader context and return more accurate, coherent responses without chunking or information loss.
With a context window size of 1 million tokens, you can analyze entire repositories in a single pass for code review and migration, process long-form legal or regulatory documents end-to-end, and maintain full conversation history in multi-step agentic workflows. Prompt caching with explicit cache breakpoints applies to long context requests, so repeated context is billed at a caching discount. 
GPT-5.6 Sol is available in the following AWS Regions: US East (N. Virginia) and US East (Ohio). GPT-5.6 Terra and Luna are available in US East (N. Virginia), US East (Ohio), and US West (Oregon). Get started with Sol, Terra, and Luna using the Amazon Bedrock Console or the Responses API on the bedrock-mantle endpoint. To learn more, see the Amazon Bedrock documentation and read the launch blog post.
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AWS Transform continuous modernization is now generally available

AWS Transform continuous modernization is now generally available in all AWS Regions where AWS Transform is supported. This capability helps engineering teams analyze and remediate technical debt across source code repositories at scale. Teams can connect GitHub organizations, GitLab groups, and Bitbucket workspaces, run analyses on demand or on a recurring schedule, and prioritize findings across technical debt, security, agentic readiness, modernization readiness, and custom analysis criteria. With today’s launch, you can connect source code providers, initiate and schedule analyses, review findings, and create remediations directly from the AWS Transform web application. For findings with an associated remediation, continuous modernization creates branches and opens pull requests or merge requests containing validated code changes for review. Analysis and remediation run in your AWS account using your credentials, while your source code remains under your control. You can also use the AWS Transform Kiro Power, agent plugins, or AWS Transform CLI to work from your IDE or terminal, analyze local repositories, organize repositories using labels, and run analyses locally or remotely using Amazon EC2 or AWS Batch. To get started, open the AWS Transform web application or use the AWS Transform Kiro Power and agent plugins. To learn more, see AWS Transform continuous modernization in the AWS Transform User Guide.
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