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.  

AWS Elastic Beanstalk now enables customers to reference AWS Systems Manager Parameter Store parameters and AWS Secrets Manager secrets in environment variables. This new integration provides developers with a native method for accessing data from these services in their application.

AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. With this integration, Elastic Beanstalk customers can now reference information stored in Secrets Manager and Parameter Store from their application. Developers can reference resources from these services directly in Elastic Beanstalk environment variables using Amazon Resource Names (ARNs), benefiting from automatic encryption at rest and in transit. This eliminates the need for application redeployment when configuration values change, simplifying operations and enhancing security.

This feature is available in all commercial AWS Regions where Elastic Beanstalk is available, including the AWS GovCloud (US) Regions.

To learn more about using Parameter Store and Secrets Manager with Elastic Beanstalk, see the Parameter Store and Secrets Manager Section in AWS Elastic Beanstalk Developer Guide. For additional information, visit the AWS Elastic Beanstalk product page.

 

​AWS Elastic Beanstalk now enables customers to reference AWS Systems Manager Parameter Store parameters and AWS Secrets Manager secrets in environment variables. This new integration provides developers with a native method for accessing data from these services in their application.
AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. With this integration, Elastic Beanstalk customers can now reference information stored in Secrets Manager and Parameter Store from their application. Developers can reference resources from these services directly in Elastic Beanstalk environment variables using Amazon Resource Names (ARNs), benefiting from automatic encryption at rest and in transit. This eliminates the need for application redeployment when configuration values change, simplifying operations and enhancing security.
This feature is available in all commercial AWS Regions where Elastic Beanstalk is available, including the AWS GovCloud (US) Regions.
To learn more about using Parameter Store and Secrets Manager with Elastic Beanstalk, see the Parameter Store and Secrets Manager Section in AWS Elastic Beanstalk Developer Guide. For additional information, visit the AWS Elastic Beanstalk product page.  

Amazon Relational Database Service (RDS) for PostgreSQL now supports modifying the ssl_ciphers parameter. SSL Ciphers (or cipher suites) are combinations of algorithms used to secure network connections between a client and server. They handle key exchange, authentication, encryption, and message integrity verification to ensure secure and confidential communication.

Amazon RDS for PostgreSQL 16.1 and later will support modification of the ssl_ciphers parameter. You can select cipher suites from the Amazon RDS for PostgreSQL allow list to align with your organization’s security standards and maintain consistent security configurations across database deployments.

Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

 

​Amazon Relational Database Service (RDS) for PostgreSQL now supports modifying the ssl_ciphers parameter. SSL Ciphers (or cipher suites) are combinations of algorithms used to secure network connections between a client and server. They handle key exchange, authentication, encryption, and message integrity verification to ensure secure and confidential communication. Amazon RDS for PostgreSQL 16.1 and later will support modification of the ssl_ciphers parameter. You can select cipher suites from the Amazon RDS for PostgreSQL allow list to align with your organization’s security standards and maintain consistent security configurations across database deployments. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.  

Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability.

Today, Amazon Keyspaces (for Apache Cassandra) supports Multi-Region Replication in the Africa (Cape Town) Region. With this expansion, customers can now replicate their Keyspaces data to and from the Cape Town Region, enabling lower-latency access for local users while maintaining a consistent view of data across their global infrastructure. Multi-Region Replication helps customers meet data residency requirements and improve application performance by automatically replicating data across multiple AWS Regions. Customers can now configure their tables to replicate data between Cape Town and any other AWS Region where Amazon Keyspaces is available.

Multi-Region Replication in the Africa (Cape Town) Region is available at no additional cost – you pay only for the resources you use, including data transfer between regions and storage in each region.

To get started with Multi-Region Replication in the Africa (Cape Town) Region, visit the Amazon Keyspaces documentation.
 

 

​Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability. Today, Amazon Keyspaces (for Apache Cassandra) supports Multi-Region Replication in the Africa (Cape Town) Region. With this expansion, customers can now replicate their Keyspaces data to and from the Cape Town Region, enabling lower-latency access for local users while maintaining a consistent view of data across their global infrastructure. Multi-Region Replication helps customers meet data residency requirements and improve application performance by automatically replicating data across multiple AWS Regions. Customers can now configure their tables to replicate data between Cape Town and any other AWS Region where Amazon Keyspaces is available. Multi-Region Replication in the Africa (Cape Town) Region is available at no additional cost – you pay only for the resources you use, including data transfer between regions and storage in each region. To get started with Multi-Region Replication in the Africa (Cape Town) Region, visit the Amazon Keyspaces documentation.    

AWS has enabled Multi-Factor Authentication (MFA) for card registration in Japan to enhance payment security. Customers will need to perform MFA when registering new cards at sign-up or the AWS Billing and Cost Management Console.

MFA provides an extra layer of security during card registration, helping protect customers against credit card fraud. This implementation supports all major card networks including: Visa, Mastercard, American Express, Diners Club, China UnionPay, and JCB. The authentication process uses 3D-Secure technology, which is the global standard for card payment security, ensuring safe and secure card registration for our customers.

When adding or updating a new card in their AWS account, you will automatically be redirected to your card issuer’s authentication page to complete MFA. After successful authentication, your card will be registered and ready for use with AWS. This applies to both new customer sign-ups and existing customers adding new cards through the AWS Billing and Cost Management Console. For more information to manage payment verification, visit the AWS Billing and Cost Management user guide.
 

 

​AWS has enabled Multi-Factor Authentication (MFA) for card registration in Japan to enhance payment security. Customers will need to perform MFA when registering new cards at sign-up or the AWS Billing and Cost Management Console. MFA provides an extra layer of security during card registration, helping protect customers against credit card fraud. This implementation supports all major card networks including: Visa, Mastercard, American Express, Diners Club, China UnionPay, and JCB. The authentication process uses 3D-Secure technology, which is the global standard for card payment security, ensuring safe and secure card registration for our customers. When adding or updating a new card in their AWS account, you will automatically be redirected to your card issuer’s authentication page to complete MFA. After successful authentication, your card will be registered and ready for use with AWS. This applies to both new customer sign-ups and existing customers adding new cards through the AWS Billing and Cost Management Console. For more information to manage payment verification, visit the AWS Billing and Cost Management user guide.