AWS Resource Explorer now supports 32 more resource types across all AWS commercial Regions from services including Amazon API Gateway, AWS CloudTrail, and Amazon CloudFront.

With this release, customers can now search for the following resource types in AWS Resource Explorer:

1. apigateway:vpclinks 2. appconfig:application 3. appconfig:deploymentstrategy 4. backup:report-plan 5. ce:anomalymonitor 6. ce:anomalysubscription 7. cloudfront:continuous-deployment-policy 8. cloudtrail:channel 9. codedeploy:application 10. codedeploy:deploymentconfig 11. events:archive 12. events:endpoint 13. gamelift:location 14. groundstation:mission-profile 15. inspector:target/template 16. iot:cacert

17. iot:cert 18. iotdeviceadvisor:suitedefinition 19. iotfleetwise:decoder-manifest 20. iotfleetwise:model-manifest 21. iotfleetwise:signal-catalog 22. managedblockchain:accessors 23. oam:sink 24. omics:referenceStore 25. omics:runGroup 26. omics:workflow 27. personalize:solution 28. pipes:pipe 29. scheduler:schedule-group 30. schemas:discoverer 31. transfer:certificate 32. transfer:connector

To view a complete list of all supported types, see the supported resource types page.

 

​AWS Resource Explorer now supports 32 more resource types across all AWS commercial Regions from services including Amazon API Gateway, AWS CloudTrail, and Amazon CloudFront. With this release, customers can now search for the following resource types in AWS Resource Explorer:

1. apigateway:vpclinks 2. appconfig:application 3. appconfig:deploymentstrategy 4. backup:report-plan 5. ce:anomalymonitor 6. ce:anomalysubscription 7. cloudfront:continuous-deployment-policy 8. cloudtrail:channel 9. codedeploy:application 10. codedeploy:deploymentconfig 11. events:archive 12. events:endpoint 13. gamelift:location 14. groundstation:mission-profile 15. inspector:target/template 16. iot:cacert
17. iot:cert 18. iotdeviceadvisor:suitedefinition 19. iotfleetwise:decoder-manifest 20. iotfleetwise:model-manifest 21. iotfleetwise:signal-catalog 22. managedblockchain:accessors 23. oam:sink 24. omics:referenceStore 25. omics:runGroup 26. omics:workflow 27. personalize:solution 28. pipes:pipe 29. scheduler:schedule-group 30. schemas:discoverer 31. transfer:certificate 32. transfer:connector

To view a complete list of all supported types, see the supported resource types page.  

Today, AWS App Studio announces two new capabilities that accelerate enterprise application building from idea to production. App Studio now offers a prebuilt solutions catalog and application Import and Export, enabling users to get started quickly and easily deploy applications across Regions and AWS accounts.

App Studio’s prebuilt solutions catalog offers a variety of ready-to-use applications and common patterns (like Amazon S3 and Amazon Bedrock integration) that can be seamlessly imported into any App Studio instance. Customers can explore and deploy these applications to their own instances, significantly reducing initial setup time and move from concept to production instances in less than 15 minutes.

These new capabilities are now available in all AWS Regions where AWS App Studio is available, including US West (Oregon) and Europe (Ireland).

To learn more about App Studio, visit the AWS App Studio page and join the conversation in the #aws-app-studio channel in the AWS Developers Slack workspace. To explore App Studio’s prebuilt solutions catalog and Import and Export capabilities, visit the blog post. There is no charge for building and managing your App Studio applications. Get started by visiting the AWS Management Console.
 

 

​Today, AWS App Studio announces two new capabilities that accelerate enterprise application building from idea to production. App Studio now offers a prebuilt solutions catalog and application Import and Export, enabling users to get started quickly and easily deploy applications across Regions and AWS accounts. App Studio’s prebuilt solutions catalog offers a variety of ready-to-use applications and common patterns (like Amazon S3 and Amazon Bedrock integration) that can be seamlessly imported into any App Studio instance. Customers can explore and deploy these applications to their own instances, significantly reducing initial setup time and move from concept to production instances in less than 15 minutes. These new capabilities are now available in all AWS Regions where AWS App Studio is available, including US West (Oregon) and Europe (Ireland). To learn more about App Studio, visit the AWS App Studio page and join the conversation in the #aws-app-studio channel in the AWS Developers Slack workspace. To explore App Studio’s prebuilt solutions catalog and Import and Export capabilities, visit the blog post. There is no charge for building and managing your App Studio applications. Get started by visiting the AWS Management Console.    

You can now create a Transfer Family web app in AWS GovCloud (US) Regions. These Regions are designed to host sensitive data and regulated workloads in the cloud if you have U.S. federal, state, and local government compliance requirements. With this release, you can now create a Transfer Family web app with an option to enable a Federal Information Processing Standards (FIPS) 140-3 compliant endpoint in AWS GovCloud (US) Regions and meet compliance requirements.

AWS Transfer Family web apps provide a simple interface for accessing your data in Amazon S3 through a web browser. With Transfer Family web apps, you can provide your workforce with a fully managed, branded, and secure portal for your end users to browse, upload, and download data in S3.

To learn more about AWS Transfer Family web apps, read our blog and visit the Transfer Family User Guide. For complete regional availability information, see the AWS Region Table.

 

​You can now create a Transfer Family web app in AWS GovCloud (US) Regions. These Regions are designed to host sensitive data and regulated workloads in the cloud if you have U.S. federal, state, and local government compliance requirements. With this release, you can now create a Transfer Family web app with an option to enable a Federal Information Processing Standards (FIPS) 140-3 compliant endpoint in AWS GovCloud (US) Regions and meet compliance requirements. AWS Transfer Family web apps provide a simple interface for accessing your data in Amazon S3 through a web browser. With Transfer Family web apps, you can provide your workforce with a fully managed, branded, and secure portal for your end users to browse, upload, and download data in S3. To learn more about AWS Transfer Family web apps, read our blog and visit the Transfer Family User Guide. For complete regional availability information, see the AWS Region Table.  

Beginning today, customers can use Amazon Bedrock Custom Model Import in the Europe (Frankfurt) region to import and use their customized models alongside existing foundation models via a single, unified API.

Customers can access their imported custom models in an on-demand, serverless manner without having to manage the underlying instances. They can accelerate generative AI application development by integrating their imported custom models seamlessly with native Bedrock tools and features like Agents, Knowledge Bases, Guardrails, Evaluation, and Prompt Flows.

To get started, visit the Amazon Bedrock Custom Model Import page and see the documentation page for more details.

 

​Beginning today, customers can use Amazon Bedrock Custom Model Import in the Europe (Frankfurt) region to import and use their customized models alongside existing foundation models via a single, unified API. Customers can access their imported custom models in an on-demand, serverless manner without having to manage the underlying instances. They can accelerate generative AI application development by integrating their imported custom models seamlessly with native Bedrock tools and features like Agents, Knowledge Bases, Guardrails, Evaluation, and Prompt Flows. To get started, visit the Amazon Bedrock Custom Model Import page and see the documentation page for more details.  

Amazon QuickSight launches support for threshold alerts and scheduling in embedded dashboards for registered users. Users viewing embedded QuickSight dashboards can now define data thresholds and receive email notifications when their data exceeds them. They can also view and manage alerts at anytime in embedded dashboard. QuickSight admins can customize how the alerts emails notification appear and behave for account users. QuickSight admins can personalize alert email notifications for account users, tailoring their appearance and behavior. They can customize the sender display name, logo, and footer in the email, as well as specify where the dashboard opens when recipients click on it. Additionally, they can replace the custom email address with a user-friendly name, such as «Sales.» Application developers can enable alerts using the GenerateEmbedUrlForRegisteredUser and
GenerateEmbedUrlForRegisteredUserWithIdentity API.

Registered users viewing embedded QuickSight dashboards can now subscribe to schedules for dashboard email reports and pixel-perfect reports. They can also create schedules to deliver pixel-perfect reports via email. Readers can create up to five schedules per dashboard for themselves. This empowers each user to create the view of pixel perfect report that they are interested in and send them as scheduled reports. User can also view previously generated snapshots when viewing embedded QuickSight dashboards. Application developers can enable scheduling using the
GenerateEmbedUrlForRegisteredUser and GenerateEmbedUrlForRegisteredUserWithIdentity API. .

Scheduling and Alerts in Embedded Dashboards are now available in all supported Amazon QuickSight regions – see here for QuickSight regional endpoints.

For more on how user can use these features, go to our documentation for scheduling and documentation for threshold alerts.

 

​Amazon QuickSight launches support for threshold alerts and scheduling in embedded dashboards for registered users. Users viewing embedded QuickSight dashboards can now define data thresholds and receive email notifications when their data exceeds them. They can also view and manage alerts at anytime in embedded dashboard. QuickSight admins can customize how the alerts emails notification appear and behave for account users. QuickSight admins can personalize alert email notifications for account users, tailoring their appearance and behavior. They can customize the sender display name, logo, and footer in the email, as well as specify where the dashboard opens when recipients click on it. Additionally, they can replace the custom email address with a user-friendly name, such as «Sales.» Application developers can enable alerts using the GenerateEmbedUrlForRegisteredUser and GenerateEmbedUrlForRegisteredUserWithIdentity API. Registered users viewing embedded QuickSight dashboards can now subscribe to schedules for dashboard email reports and pixel-perfect reports. They can also create schedules to deliver pixel-perfect reports via email. Readers can create up to five schedules per dashboard for themselves. This empowers each user to create the view of pixel perfect report that they are interested in and send them as scheduled reports. User can also view previously generated snapshots when viewing embedded QuickSight dashboards. Application developers can enable scheduling using the GenerateEmbedUrlForRegisteredUser and GenerateEmbedUrlForRegisteredUserWithIdentity API. . Scheduling and Alerts in Embedded Dashboards are now available in all supported Amazon QuickSight regions – see here for QuickSight regional endpoints. For more on how user can use these features, go to our documentation for scheduling and documentation for threshold alerts.  

Amazon Q Developer is now generally available in Amazon OpenSearch Service, providing a set of AI-assisted features that expedite operational analytics and investigation processes. This release introduces five key AI-assisted features: visualization generation using natural language, intelligent alert summarization with one-step data exploration, query result summary in the Discover page, recommended anomaly detectors, and a dedicated Amazon Q Developer chat interface for OpenSearch-related questions. 

With Amazon Q Developer, teams can transform natural language inputs into visualizations, gain instant insights from alerts and query results, and streamline anomaly detector creation through recommendations. The new Amazon Q Developer chat interface helps users quickly find answers about OpenSearch Service, while the natural language capabilities reduce the time needed to analyze data and create visualizations. With these features, users can work more efficiently with their data.

Amazon Q Developer in OpenSearch Service is now available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (London), Europe (Paris), and South America (São Paulo).

The Amazon Q Developer in OpenSearch Service features are supported on the new OpenSearch user interface with OpenSearch data sources (version 2.17+). To get started, create an OpenSearch Service application in the AWS Management Console. Learn more at the Amazon OpenSearch Service Developer Guide. 

 

​Amazon Q Developer is now generally available in Amazon OpenSearch Service, providing a set of AI-assisted features that expedite operational analytics and investigation processes. This release introduces five key AI-assisted features: visualization generation using natural language, intelligent alert summarization with one-step data exploration, query result summary in the Discover page, recommended anomaly detectors, and a dedicated Amazon Q Developer chat interface for OpenSearch-related questions. 
With Amazon Q Developer, teams can transform natural language inputs into visualizations, gain instant insights from alerts and query results, and streamline anomaly detector creation through recommendations. The new Amazon Q Developer chat interface helps users quickly find answers about OpenSearch Service, while the natural language capabilities reduce the time needed to analyze data and create visualizations. With these features, users can work more efficiently with their data.
Amazon Q Developer in OpenSearch Service is now available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (London), Europe (Paris), and South America (São Paulo).
The Amazon Q Developer in OpenSearch Service features are supported on the new OpenSearch user interface with OpenSearch data sources (version 2.17+). To get started, create an OpenSearch Service application in the AWS Management Console. Learn more at the Amazon OpenSearch Service Developer Guide.   

AWS Resource Access Manager (AWS RAM) customers can now use Internet Protocol version 6 (IPv6) addresses, via our new dual-stack endpoints to create and manage RAM resource shares in your accounts. The existing RAM endpoints supporting IPv4 will remain available for backwards compatibility. The new dual-stack domains are available either from the internet or from within an Amazon Virtual Private Cloud (VPC) using AWS PrivateLink.

To learn more on best practices for configuring IPv6 in your environment, visit the whitepaper on IPv6 in AWS. Support for IPv6 on AWS RAM is available in the AWS Commercial Regions, the AWS GovCloud (US) Regions, and the China Regions. To get started with using AWS RAM to share resources, visit the AWS Resource Access Manager Console.
 

 

​AWS Resource Access Manager (AWS RAM) customers can now use Internet Protocol version 6 (IPv6) addresses, via our new dual-stack endpoints to create and manage RAM resource shares in your accounts. The existing RAM endpoints supporting IPv4 will remain available for backwards compatibility. The new dual-stack domains are available either from the internet or from within an Amazon Virtual Private Cloud (VPC) using AWS PrivateLink. To learn more on best practices for configuring IPv6 in your environment, visit the whitepaper on IPv6 in AWS. Support for IPv6 on AWS RAM is available in the AWS Commercial Regions, the AWS GovCloud (US) Regions, and the China Regions. To get started with using AWS RAM to share resources, visit the AWS Resource Access Manager Console.    

Amazon S3 Tables expand availability to the AWS Middle East (UAE) Region, enabling customers to store tabular data at scale.

S3 Tables deliver the first cloud object store with built-in Apache Iceberg support. They are specifically optimized for analytics workloads, resulting in up to 3x faster query performance through continual table optimization compared to unmanaged Iceberg tables, and up to 10x higher transactions per second compared to Iceberg tables stored in general purpose S3 buckets.

You can use S3 Tables with AWS analytics services through the integration with Amazon SageMaker Lakehouse, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink. Additionally, S3 Tables perform continual table maintenance to automatically expire old snapshots and related data files to reduce storage cost over time.

S3 Tables are now generally available in fifteen AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page, and documentation.
 

 

​Amazon S3 Tables expand availability to the AWS Middle East (UAE) Region, enabling customers to store tabular data at scale. S3 Tables deliver the first cloud object store with built-in Apache Iceberg support. They are specifically optimized for analytics workloads, resulting in up to 3x faster query performance through continual table optimization compared to unmanaged Iceberg tables, and up to 10x higher transactions per second compared to Iceberg tables stored in general purpose S3 buckets. You can use S3 Tables with AWS analytics services through the integration with Amazon SageMaker Lakehouse, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink. Additionally, S3 Tables perform continual table maintenance to automatically expire old snapshots and related data files to reduce storage cost over time. S3 Tables are now generally available in fifteen AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page, and documentation.    

AWS Glue now offers support for custom visual transforms and version control in the AWS GovCloud (US) Regions. AWS Glue is a serverless data integration service that uses reusable jobs to perform extract, transform, and load (ETL) tasks on data sets of nearly any scale.

With version control, customers can use GitHub and AWS CodeCommit to maintain a history of changes to their AWS Glue jobs and apply their existing DevOps practices to deploy them. Previously, customers needed to set up their own integrations with their code versioning systems and build tooling to move jobs from development environments to production environments. Git integration in AWS Glue works for all AWS Glue job types, whether visual or code-based. Additionally, AWS Glue Studio’s visual editor now supports custom visual transforms, which allow you to create transforms and make them available for use in AWS Glue Studio jobs. Now, data engineers can write reusable transforms for the AWS Glue visual job editor. Reusable transforms increase consistency between teams and help keep jobs up to date by minimizing duplicate effort and code.

This feature is available in all AWS Regions and AWS GovCloud (US) regions where AWS Glue is available.

To learn more about version control, visit our documentation and blog post. To learn more about custom visual transforms, visit our documentation and blog post.
 

 

​AWS Glue now offers support for custom visual transforms and version control in the AWS GovCloud (US) Regions. AWS Glue is a serverless data integration service that uses reusable jobs to perform extract, transform, and load (ETL) tasks on data sets of nearly any scale. With version control, customers can use GitHub and AWS CodeCommit to maintain a history of changes to their AWS Glue jobs and apply their existing DevOps practices to deploy them. Previously, customers needed to set up their own integrations with their code versioning systems and build tooling to move jobs from development environments to production environments. Git integration in AWS Glue works for all AWS Glue job types, whether visual or code-based. Additionally, AWS Glue Studio’s visual editor now supports custom visual transforms, which allow you to create transforms and make them available for use in AWS Glue Studio jobs. Now, data engineers can write reusable transforms for the AWS Glue visual job editor. Reusable transforms increase consistency between teams and help keep jobs up to date by minimizing duplicate effort and code. This feature is available in all AWS Regions and AWS GovCloud (US) regions where AWS Glue is available. To learn more about version control, visit our documentation and blog post. To learn more about custom visual transforms, visit our documentation and blog post.    

Amazon Connect Contact Lens now lets you enable or disable sentiment analysis. This provides organizations with control over sentiment analysis, particularly for those needing to meet compliance obligations, while maintaining access to other Contact Lens conversational analytics capabilities including transcripts, generative AI summaries, and other conversational insights. For example, you may want to enable sentiment analysis to track customer brand perception and disable sentiment analysis for contacts coming to an internal company complaints line.

The feature is available in all regions where Amazon Connect Contact Lens is available. To learn more, please visit our documentation and our webpage. This feature is included within Contact Lens conversational analytics price at no additional cost. For information about Contact Lens pricing, please visit our pricing page.

 

​Amazon Connect Contact Lens now lets you enable or disable sentiment analysis. This provides organizations with control over sentiment analysis, particularly for those needing to meet compliance obligations, while maintaining access to other Contact Lens conversational analytics capabilities including transcripts, generative AI summaries, and other conversational insights. For example, you may want to enable sentiment analysis to track customer brand perception and disable sentiment analysis for contacts coming to an internal company complaints line. The feature is available in all regions where Amazon Connect Contact Lens is available. To learn more, please visit our documentation and our webpage. This feature is included within Contact Lens conversational analytics price at no additional cost. For information about Contact Lens pricing, please visit our pricing page.