6/24/2025, 12:00:00 AM ~ 6/25/2025, 12:00:00 AM (UTC)

Recent Announcements

Amazon GameLift Servers now available in Asia Pacific (Thailand) and Asia Pacific (Malaysia)

Amazon GameLift Servers, a fully managed service for deploying, operating, and scaling game servers for multiplayer games, is now available in two additional AWS Regions: Asia Pacific (Thailand) and Asia Pacific (Malaysia). With this launch, customers can now deploy GameLift fleets closer to players in Thailand and Malaysia, helping reduce latency and improve gameplay responsiveness.\n This regional expansion supports both Amazon GameLift Servers managed EC2 and container-based hosting options. Developers can take advantage of features such as FlexMatch for customizable matchmaking, FleetIQ for cost-optimized instance management, and auto-scaling to manage player demand dynamically. The addition of these new regions enables game developers and publishers to better server growing player communities across Southeast Asia while maintaining high performance and reliability. To get started, visit the Amazon GameLift console or refer to the Amazon GameLift Servers developer guide.

Amazon Route 53 Resolver endpoints now support DNS delegation for private hosted zones

Starting today, domain name system (DNS) delegation for private hosted zone subdomains can be used with Route 53 inbound and outbound Resolver endpoints. This allows you to delegate the authority for a subdomain from your on-premises infrastructure to the Route 53 Resolver cloud service and vice versa, enabling a simplified cloud experience across namespaces in AWS and on your own local infrastructure.\n AWS customers allow multiple organizations within their enterprise to individually manage their respective subdomains and subzones, whereas apex domains and parent hosted zones are typically overseen by a central team. Previously, these customers had to create and maintain conditional forwarding rules in their existing network infrastructure to enable services to discover one another across subdomains. However, conditional forwarding rules are difficult to maintain across large organizations and, in many cases, are not supported by on-premises infrastructure. With today’s release, customers can instead delegate authority of subdomains to Route 53 using name server records and vice versa, achieving compatibility with common, on-premises DNS infrastructure and removing the need for teams to use conditional forwarding rules throughout their organization. Inbound and outbound delegation for Resolver endpoints is available globally in all AWS Regions, where Resolver endpoints are available, except in AWS GovCloud and Amazon Web Services in China. Inbound and outbound delegation is provided at no additional cost to Resolver endpoints usage. For more details on pricing, visit the Route 53 pricing page, and to learn more about this feature, visit the developer guide.

Amazon EMR on EKS now supports Service Quotas

Today, Amazon EMR on EKS announces support for Service Quotas, improving visibility and control over EMR on EKS quotas.\n Previously, to request an increase for EMR on EKS quotas, such as maximum number of StartJobRun API calls per second, customers had to open a support ticket and wait for the support team to process the increase. Now, customers can view and manage their EMR on EKS quota limits directly in the Service Quotas console. This enables automated limit increase approvals for eligible requests, improving response times and reducing the number of support tickets. Customers can also set up Amazon CloudWatch alarms to get automatically notified when their usage reaches a certain percentage of a maximum quota. Amazon EMR on EKS support for Service Quotas is available in all Regions where Amazon EMR on EKS is currently available. To get started, visit the Service Quotas User Guide.

Now in GA: Accelerate troubleshooting with Amazon CloudWatch investigations

Now generally available, Amazon CloudWatch helps you accelerate operational investigations across your AWS environment in just a fraction of the time. With a deep understanding of your AWS cloud environment and resources, CloudWatch investigations use an AI agent to look for anomalies in your environment, surface related signals, identify root-cause hypotheses, and suggest remediation steps, significantly reducing mean time to resolution (MTTR).\n This new CloudWatch investigations capability works alongside you throughout your operational troubleshooting journey from issue triage through remediation. You can initiate an investigation by selecting the Investigate action on any CloudWatch data widget across the AWS Management Console. You can also start investigations from more than 80 AWS consoles, configure to auto trigger from a CloudWatch alarm action, or initiate from an Amazon Q chat. The new investigation experience in CloudWatch allows teams to collaborate and add findings, view related signals and anomalies, and review suggestions for potential root cause hypotheses. This new capability also provides remediation suggestions for common operational issues across your AWS environment by surfacing relevant AWS Systems Manager Automation runbooks, AWS re:Post articles, and documentation. It also integrates with popular communication channels such as Slack and Microsoft Teams.

The Amazon CloudWatch investigations capability is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (Spain), and Europe (Stockholm).

The CloudWatch investigations capability is now generally available at no additional cost. It was previously launched in preview as Amazon Q Developer operational investigations. To learn more, see getting started and best practice documentation.

Announcing Intelligent Search for re:Post and re:Post Private

Today, AWS launches Intelligent Search on AWS re:Post and AWS re:Post Private — offering a more efficient and intuitive way to access AWS knowledge across multiple sources. This new capability transforms how builders find information, providing synthesized answers from various AWS resources in one place.\n Intelligent Search streamlines the process of finding relevant AWS information by unifying results from re:Post community discussions, AWS Official documentation, and other public AWS knowledge sources. Instead of manually searching through multiple pages, users receive contextually relevant answers directly, saving time and effort. For instance, when troubleshooting an IAM permissions error, developers can ask a question in natural language and immediately receive a comprehensive response drawing from diverse AWS resources. This feature is particularly valuable for developers, architects, and technical leaders who need quick access to accurate information for problem-solving and decision-making. By consolidating knowledge from various AWS sources, Intelligent Search helps users find solutions faster, accelerating development processes and improving productivity. Intelligent Search is now available on repost.aws. re:Post Private customers can also utilize this feature if artificial intelligence capabilities are enabled in their instance. For setup instructions, see the re:Post Private Administration Guide.

Amazon SageMaker HyperPod announces P6-B200 instances powered by NVIDIA B200 GPUs

Today, Amazon SageMaker HyperPod announces the general availability of Amazon EC2 P6-B200 instances powered by NVIDIA B200 GPUs. Amazon EC2 P6-B200 instances offer up to 2x performance compared to P5en instances for AI training.\n P6-B200 instances feature 8 Blackwell GPUs with 1440 GB of high-bandwidth GPU memory and a 60% increase in GPU memory bandwidth compared to P5en, 5th Generation Intel Xeon processors (Emerald Rapids), and up to 3.2 terabits per second of Elastic Fabric Adapter (EFAv4) networking. P6-B200 instances are powered by the AWS Nitro System, so you can reliably and securely scale AI workloads within Amazon EC2 UltraClusters to tens of thousands of GPUs. The instances are available through SageMaker HyperPod flexible training plans in US West (Oregon) AWS Region. For on-demand reservation of B200 instances, please reach out to your account manager. Amazon SageMaker AI lets you easily train machine learning models at scale using fully managed infrastructure optimized for performance and cost. To get started with SageMaker HyperPod, visit the webpage and documentation.

Amazon Bedrock Guardrails announces tiers for content filters and denied topics

Amazon Bedrock Guardrails announces tiers for content filters and denied topics, offering additional flexibility and ease of use towards choosing features and expanded language support depending on customer use cases. With a new Standard tier, Guardrails now detects and filters undesirable content with better contextual understanding including modifications such as typographical errors, and support for up to 60 languages.\n Bedrock Guardrails provides configurable safeguards to help detect and block harmful content and prompt attacks, define topics to deny and disallow specific topics, and helps redact personally identifiable information (PII) such as personal data from input prompts and model responses. Additionally, Bedrock Guardrails helps detect and block model hallucinations, and identify, correct, and explain factual claims in model responses using Automated Reasoning checks. Guardrails can be applied across any foundation model including those hosted with Amazon Bedrock, self-hosted models, and third-party models outside Bedrock using the ApplyGuardrail API, providing a consistent user experience and helping to standardize safety and privacy controls. The new Standard tier enhances the content filters and denied topics safeguards within Bedrock Guardrails by offering better robust detection of prompt and response variations, strengthened defense against all categories of content filters including prompt attacks, and broader language support. The improved prompt attacks filter clearly distinguishes between jailbreaks and prompt injection on the backend while protecting against other threats including output manipulation. To access the Standard tier’s capabilities, customers must explicitly opt in to cross-region inference with Bedrock Guardrails. To learn more, see the technical documentation and the Bedrock Guardrails product page.

Amazon S3 now supports sort and z-order compaction for Apache Iceberg tables

Amazon S3 now supports sort and z-order compaction for Apache Iceberg tables, available both in Amazon S3 Tables and general purpose S3 buckets using AWS Glue Data Catalog optimization. Sort compaction in Iceberg tables minimizes the number of data files scanned by query engines, leading to improved query performance and reduced costs. Z-order compaction provides additional performance benefits through efficient file pruning when querying across multiple columns simultaneously.\n S3 Tables provide a fully managed experience where hierarchical sorting is automatically applied on columns during compaction when a sort order is defined in table metadata. When multiple query predicates need to be prioritized equally, you can enable z-order compaction through the S3 Tables maintenance API. If you are using Iceberg tables in general purpose S3 buckets, optimization can be enabled in the AWS Glue Data Catalog console, where you can specify your preferred compaction method. These additional compaction capabilities are available in all AWS Regions where S3 Tables or optimization with the AWS Glue Data Catalog are available. To learn more, read the AWS News Blog, and visit the S3 Tables maintenance documentation and AWS Glue Data Catalog optimization documentation.

Customer Carbon Footprint Tool now includes location-based emissions

The Customer Carbon Footprint Tool (CCFT) and Data Exports now show emissions calculated using the location-based method (LBM), alongside emissions calculated using the market-based method (MBM) which were already present. In addition, you can now see the estimated emissions from CloudFront usage in the service breakdown, alongside EC2 and S3 estimates.\n LBM reflects the average emissions intensity of grids on which energy consumption occurs. Electricity grids in different parts of the world use various sources of power, from carbon-intense fuels like coal, to renewable energy like solar. With LBM, you can view and validate trends in monthly carbon emissions that more directly align to your cloud usage, and get insights into the carbon intensity of the underlying electricity grids in which AWS data centers operate. This empowers you to make more informed decisions about optimizing your cloud usage and achieving your overall sustainability objectives. To learn more about the differences between LBM and MBM see the GHG Protocol Scope 2 Guidance. Check out your LBM emissions today in the Customer Carbon Footprint Tool and Data Exports; the updates are explained in detail in the user guide.

Amazon GameLift Servers launches UDP ping beacons

We’re excited to announce the general availability of UDP ping beacons for Amazon GameLift Servers, a new feature that enables game developers to measure real-time network latency between game clients and game servers hosted on Amazon GameLift Servers. With UDP ping beacons, you can now accurately measure latency for UDP (User Datagram Protocol) packet payloads across all AWS Regions and Local Zones where Amazon GameLift Servers is available.\n Most multiplayer games use UDP as their primary packet transmission protocol due to its performance benefits for real-time gaming and optimizing network latency is crucial for delivering the best possible player experience. UDP ping beacons provide a reliable way to measure actual UDP packet latency between players and game servers, helping make better decisions about player-to-server matching and game session placement. The beacon endpoints are available in all AWS Global Regions and Local Zones supported by Amazon GameLift Servers, except AWS China, and through the ListLocations API, making it easy to programmatically access the endpoints. To learn more, visit the Amazon GameLift Servers Release Notes.

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