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AWS Marketplace has expanded its global accessibility by introducing support for French, Spanish, Korean, and Japanese languages across both the website and AWS console. This enhancement allows customers to discover, evaluate, procure, and deploy solutions in their preferred language, reducing friction for global customers and enhancing their purchasing process.

For a localized experience, buyers select their preferred language out of 5 options in the language dropdown. The resulting language switch extends across the customer journey, allowing customers to browse the AWS Marketplace homepage, search for products, view details, and buy products and services in their chosen language. The localization covers SaaS products, AMI-based products, container-based products, and professional services.

For AWS Marketplace sellers, this launch expands their global reach. AWS Marketplace automatically translates product information into all supported languages, allowing the translated versions to become available to buyers with no additional seller effort. Sellers maintain control over their global presence and can opt out from this feature on a language or listing basis. Furthermore, sellers can now provide End User License Agreements (EULAs) in the primary language of the country for geo-fenced listings.

To get started, select your preferred language in the upper right corner of the website or console header. To learn more about AWS Marketplace’s language support, visit the AWS Marketplace Buyer Guide and Seller Guide.

​AWS Marketplace has expanded its global accessibility by introducing support for French, Spanish, Korean, and Japanese languages across both the website and AWS console. This enhancement allows customers to discover, evaluate, procure, and deploy solutions in their preferred language, reducing friction for global customers and enhancing their purchasing process. For a localized experience, buyers select their preferred language out of 5 options in the language dropdown. The resulting language switch extends across the customer journey, allowing customers to browse the AWS Marketplace homepage, search for products, view details, and buy products and services in their chosen language. The localization covers SaaS products, AMI-based products, container-based products, and professional services. For AWS Marketplace sellers, this launch expands their global reach. AWS Marketplace automatically translates product information into all supported languages, allowing the translated versions to become available to buyers with no additional seller effort. Sellers maintain control over their global presence and can opt out from this feature on a language or listing basis. Furthermore, sellers can now provide End User License Agreements (EULAs) in the primary language of the country for geo-fenced listings. To get started, select your preferred language in the upper right corner of the website or console header. To learn more about AWS Marketplace’s language support, visit the AWS Marketplace Buyer Guide and Seller Guide.  

Amazon FSx for NetApp ONTAP second-generation file systems are now available in additional AWS Regions: Asia Pacific (Mumbai), and Asia Pacific (Tokyo).

Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich high-performance file systems in the cloud. Second-generation FSx for ONTAP file systems give you more performance scalability and flexibility over first-generation file systems by allowing you to create or expand file systems with up to 12 highly-available (HA) pairs of file servers, providing your workloads with up to 72 GBps of throughput and 1 PiB of provisioned SSD storage.

With this regional expansion, second-generation FSx for ONTAP file systems are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, Stockholm), and Asia Pacific (Mumbai, Singapore, Sydney, Tokyo). You can create second-generation Multi-AZ file systems with a single HA pair, and Single-AZ file systems with up to 12 HA pairs. To learn more, visit the FSx for ONTAP user guide.

​Amazon FSx for NetApp ONTAP second-generation file systems are now available in additional AWS Regions: Asia Pacific (Mumbai), and Asia Pacific (Tokyo). Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich high-performance file systems in the cloud. Second-generation FSx for ONTAP file systems give you more performance scalability and flexibility over first-generation file systems by allowing you to create or expand file systems with up to 12 highly-available (HA) pairs of file servers, providing your workloads with up to 72 GBps of throughput and 1 PiB of provisioned SSD storage. With this regional expansion, second-generation FSx for ONTAP file systems are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, Stockholm), and Asia Pacific (Mumbai, Singapore, Sydney, Tokyo). You can create second-generation Multi-AZ file systems with a single HA pair, and Single-AZ file systems with up to 12 HA pairs. To learn more, visit the FSx for ONTAP user guide.  

AWS Private Certificate Authority (AWS Private CA) now supports Active Directory (AD) child domains through the Private CA Connector for AD. With this feature, customers get a consistent experience using AWS Private CA across parent and child AD domains. AD administrators can issue certificates to users, computers, and devices in a child domain independently of the parent domain and other child domains. This feature works with on-premises and self-hosted AD deployments that are connected to AWS through AWS Directory Service AD Connector.

Private CA Connector for AD allows you to replace your certificate authorities (CAs) with AWS Private CA, a highly-available, fully-managed cloud CA that secures private key material using hardware security modules (HSMs). Connector for AD supports auto-enrollment to ensure AD domain-joined users, computers, and devices get and maintain valid certificates automatically. In addition to Connector for AD, AWS Private CA provides connectors that enable integration with Kubernetes clusters and enterprise mobile device management (MDM) solutions.

AD child domain support is available in all regions where both AWS Private CA Connector for AD and AWS Directory Service are available. To learn more about using AWS Private CA with Active Directory child domains, visit the AWS Private CA User Guide.

​AWS Private Certificate Authority (AWS Private CA) now supports Active Directory (AD) child domains through the Private CA Connector for AD. With this feature, customers get a consistent experience using AWS Private CA across parent and child AD domains. AD administrators can issue certificates to users, computers, and devices in a child domain independently of the parent domain and other child domains. This feature works with on-premises and self-hosted AD deployments that are connected to AWS through AWS Directory Service AD Connector. Private CA Connector for AD allows you to replace your certificate authorities (CAs) with AWS Private CA, a highly-available, fully-managed cloud CA that secures private key material using hardware security modules (HSMs). Connector for AD supports auto-enrollment to ensure AD domain-joined users, computers, and devices get and maintain valid certificates automatically. In addition to Connector for AD, AWS Private CA provides connectors that enable integration with Kubernetes clusters and enterprise mobile device management (MDM) solutions. AD child domain support is available in all regions where both AWS Private CA Connector for AD and AWS Directory Service are available. To learn more about using AWS Private CA with Active Directory child domains, visit the AWS Private CA User Guide.  

Today, Amazon DataZone and Amazon SageMaker announced a new user interface (UI) capability allowing a DataZone domain to be upgraded and used directly in the next generation of Amazon SageMaker. This makes the investment customers put into developing Amazon DataZone transferable to Amazon SageMaker. All content created and curated through Amazon DataZone such as assets, metadata forms, glossaries, subscriptions, etc. are available to users through Amazon SageMaker Unified Studio after the upgrade.

As an Amazon DataZone administrator, you can choose which of your domains to upgrade to Amazon SageMaker via a UI driven experience. The upgraded domain lets you leverage your existing Amazon DataZone implementation in the new Amazon SageMaker environment and expand to new SQL analytics, data processing and AI uses cases. Additionally, after upgrading both Amazon DataZone and Amazon SageMaker portals remain accessible. This provides administrators flexibility with user rollout of Amazon SageMaker, while ensuring business continuity for users operating within Amazon DataZone. By upgrading to Amazon SageMaker, users can build on their investment from Amazon DataZone by utilizing Amazon SageMaker’s unified platform that serves as the central hub for all data, analytics, and AI needs.

The domain upgrade capability is available in all AWS Regions where Amazon DataZone and Amazon SageMaker is supported, including: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (Stockholm), Europe (London), South America (São Paulo), Mumbai (BOM), Stockholm (ARN), and Paris (CDG).

To learn more, visit Amazon DataZone and Amazon SageMaker then get started with the upgrade domain documentation.

​Today, Amazon DataZone and Amazon SageMaker announced a new user interface (UI) capability allowing a DataZone domain to be upgraded and used directly in the next generation of Amazon SageMaker. This makes the investment customers put into developing Amazon DataZone transferable to Amazon SageMaker. All content created and curated through Amazon DataZone such as assets, metadata forms, glossaries, subscriptions, etc. are available to users through Amazon SageMaker Unified Studio after the upgrade. As an Amazon DataZone administrator, you can choose which of your domains to upgrade to Amazon SageMaker via a UI driven experience. The upgraded domain lets you leverage your existing Amazon DataZone implementation in the new Amazon SageMaker environment and expand to new SQL analytics, data processing and AI uses cases. Additionally, after upgrading both Amazon DataZone and Amazon SageMaker portals remain accessible. This provides administrators flexibility with user rollout of Amazon SageMaker, while ensuring business continuity for users operating within Amazon DataZone. By upgrading to Amazon SageMaker, users can build on their investment from Amazon DataZone by utilizing Amazon SageMaker’s unified platform that serves as the central hub for all data, analytics, and AI needs. The domain upgrade capability is available in all AWS Regions where Amazon DataZone and Amazon SageMaker is supported, including: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (Stockholm), Europe (London), South America (São Paulo), Mumbai (BOM), Stockholm (ARN), and Paris (CDG). To learn more, visit Amazon DataZone and Amazon SageMaker then get started with the upgrade domain documentation.  

Today, we’re announcing new and improved agentic Amazon Q Developer experience in the AWS Management Console, Microsoft Teams, and Slack. Amazon Q Developer can now answer more complex queries than ever before in the AWS Management Console chat, offering deeper resource introspection and a dynamic, more interactive troubleshooting experience for users.

Till today, Amazon Q Developer helped simplify manual work needed from cloud engineering teams to monitor and troubleshoot resources by answering basic AWS questions and providing specialized guidance. Now, it combines deep AWS expertise with new multi-step reasoning capabilities that enable it to consult multiple information sources and resolve complex queries within the AWS Management Console and chat applications.Customers can ask questions about AWS services and their resources, leaving Amazon Q to automatically identify the appropriate capabilities tools for the task, selecting from AWS APIs across 200+ services. Amazon Q breaks all queries into executable steps, asks for clarification when needed, and combines information from multiple services to solve the task. For example, you can ask, “Why am I getting 500 errors from my payment processing Lambda function?” and Q automatically gathers relevant CloudWatch logs, examines function’s configuration and permissions, checks connected services like API Gateway and DynamoDB and analyzes recent changes – all while showing progress and reasoning to enable builders to work more efficiently.

These new capabilities are accessible in all AWS regions where Amazon Q Developer is available. Learn more in this deep-dive blog.

​Today, we’re announcing new and improved agentic Amazon Q Developer experience in the AWS Management Console, Microsoft Teams, and Slack. Amazon Q Developer can now answer more complex queries than ever before in the AWS Management Console chat, offering deeper resource introspection and a dynamic, more interactive troubleshooting experience for users. Till today, Amazon Q Developer helped simplify manual work needed from cloud engineering teams to monitor and troubleshoot resources by answering basic AWS questions and providing specialized guidance. Now, it combines deep AWS expertise with new multi-step reasoning capabilities that enable it to consult multiple information sources and resolve complex queries within the AWS Management Console and chat applications.Customers can ask questions about AWS services and their resources, leaving Amazon Q to automatically identify the appropriate capabilities tools for the task, selecting from AWS APIs across 200+ services. Amazon Q breaks all queries into executable steps, asks for clarification when needed, and combines information from multiple services to solve the task. For example, you can ask, “Why am I getting 500 errors from my payment processing Lambda function?” and Q automatically gathers relevant CloudWatch logs, examines function’s configuration and permissions, checks connected services like API Gateway and DynamoDB and analyzes recent changes – all while showing progress and reasoning to enable builders to work more efficiently. These new capabilities are accessible in all AWS regions where Amazon Q Developer is available. Learn more in this deep-dive blog.  

AWS Compute Optimizer now provides Amazon Aurora I/O-Optimized recommendations for Aurora DB Cluster Storage. These recommendations help make informed decisions about adopting Aurora I/O-Optimized configurations to increase pricing predictability and achieve potential cost savings based on your cluster’s storage patterns and usage.

AWS Compute Optimizer automatically analyzes your Aurora DB clusters’ instance storage and I/O costs to provide detailed cost comparisons between Aurora I/O-Optimized and Aurora Standard configurations. By default, Compute Optimizer analyzes 14 days of metrics, which you can extend to 32 days for free or up to 93 days with enhanced infrastructure metrics enabled. With enhanced metrics, you can also view month-over-month I/O usage variations to better evaluate the benefits of each storage configuration.

This new feature is available in all AWS Regions where AWS Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. To learn more about the new feature updates, please visit Compute Optimizer’s product page and user guide.

​AWS Compute Optimizer now provides Amazon Aurora I/O-Optimized recommendations for Aurora DB Cluster Storage. These recommendations help make informed decisions about adopting Aurora I/O-Optimized configurations to increase pricing predictability and achieve potential cost savings based on your cluster’s storage patterns and usage. AWS Compute Optimizer automatically analyzes your Aurora DB clusters’ instance storage and I/O costs to provide detailed cost comparisons between Aurora I/O-Optimized and Aurora Standard configurations. By default, Compute Optimizer analyzes 14 days of metrics, which you can extend to 32 days for free or up to 93 days with enhanced infrastructure metrics enabled. With enhanced metrics, you can also view month-over-month I/O usage variations to better evaluate the benefits of each storage configuration. This new feature is available in all AWS Regions where AWS Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. To learn more about the new feature updates, please visit Compute Optimizer’s product page and user guide.  

Cost Optimization Hub now supports instance and cluster storage recommendations for Amazon Aurora databases. These recommendations help you identify idle database instances and choose the optimal DB instance class and storage configuration for your Aurora databases.

With this launch, you can view, filter, consolidate, and prioritize Aurora optimization recommendations across your organization’s member accounts and AWS Regions through a single dashboard. Cost Optimization Hub quantifies estimated savings from these recommendations, taking into account your specific discounts, such as Reserved Instances, enabling you to evaluate Aurora cost savings alongside other cost optimization opportunities.

The new Amazon Aurora recommendations are now available in Cost Optimization Hub across all AWS Regions where Cost Optimization Hub is supported.
 

​Cost Optimization Hub now supports instance and cluster storage recommendations for Amazon Aurora databases. These recommendations help you identify idle database instances and choose the optimal DB instance class and storage configuration for your Aurora databases. With this launch, you can view, filter, consolidate, and prioritize Aurora optimization recommendations across your organization’s member accounts and AWS Regions through a single dashboard. Cost Optimization Hub quantifies estimated savings from these recommendations, taking into account your specific discounts, such as Reserved Instances, enabling you to evaluate Aurora cost savings alongside other cost optimization opportunities. The new Amazon Aurora recommendations are now available in Cost Optimization Hub across all AWS Regions where Cost Optimization Hub is supported.    

Amazon Lex now offers AWS CloudFormation support in AWS GovCloud (US-West), extending infrastructure-as-code capabilities to government agencies and their partners.Additionally, CloudFormation support also now includes composite slots and QnAIntent features across all AWS regions where Amazon Lex operates, allowing developers to define, deploy, and manage these advanced conversational components through CloudFormation templates.

With CloudFormation support in AWS GovCloud (US-West), government agencies can now automate the deployment of Amazon Lex chatbots while maintaining compliance with strict security requirements. Additionally, two key conversational AI features are now supported via CloudFormation: composite Slots, which enable more natural interactions by collecting multiple data points in a single prompt (e.g., «Please provide your city and state» instead of separate questions), and QnAIntent, which automatically answers user questions by searching configured knowledge bases and returning relevant information from documents, FAQs, or knowledge bases.

CloudFormation support for Amazon Lex including composite slots and QnAIntent, is available in all AWS Regions where Amazon Lex operates.

To get started with these features, see the CloudFormation resources for Amazon Lex in the Amazon Lex Developer Guide.

​Amazon Lex now offers AWS CloudFormation support in AWS GovCloud (US-West), extending infrastructure-as-code capabilities to government agencies and their partners.Additionally, CloudFormation support also now includes composite slots and QnAIntent features across all AWS regions where Amazon Lex operates, allowing developers to define, deploy, and manage these advanced conversational components through CloudFormation templates. With CloudFormation support in AWS GovCloud (US-West), government agencies can now automate the deployment of Amazon Lex chatbots while maintaining compliance with strict security requirements. Additionally, two key conversational AI features are now supported via CloudFormation: composite Slots, which enable more natural interactions by collecting multiple data points in a single prompt (e.g., «Please provide your city and state» instead of separate questions), and QnAIntent, which automatically answers user questions by searching configured knowledge bases and returning relevant information from documents, FAQs, or knowledge bases. CloudFormation support for Amazon Lex including composite slots and QnAIntent, is available in all AWS Regions where Amazon Lex operates. To get started with these features, see the CloudFormation resources for Amazon Lex in the Amazon Lex Developer Guide.  

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