Today, we are announcing the availability of AWS Backup support for Amazon Timestream for LiveAnalytics in the AWS GovCloud (US-West) Region. AWS Backup is a policy-based, fully managed and cost-effective solution that enables you to centralize and automate data protection of Amazon Timestream for LiveAnalytics along with other AWS services spanning compute, storage, and databases as well as third-party applications. Together with AWS Organizations, AWS Backup enables you to centrally deploy policies to configure, manage, and govern your data protection operations.

With this launch, AWS Backup support for Amazon Timestream for LiveAnalytics is available in the following Regions: US East (N. Virginia, Ohio, Oregon), Asia Pacific (Mumbai, Sydney, Tokyo), Europe (Frankfurt, Ireland), and AWS GovCloud (US-West). For more information on regional availability, feature availability, and pricing, see the AWS Backup pricing page and the AWS Backup Feature Availability page.

To learn more about AWS Backup support for Amazon Timestream for LiveAnalytics, visit AWS Backup’s technical documentation. To get started, visit the AWS Backup console.

 

​Today, we are announcing the availability of AWS Backup support for Amazon Timestream for LiveAnalytics in the AWS GovCloud (US-West) Region. AWS Backup is a policy-based, fully managed and cost-effective solution that enables you to centralize and automate data protection of Amazon Timestream for LiveAnalytics along with other AWS services spanning compute, storage, and databases as well as third-party applications. Together with AWS Organizations, AWS Backup enables you to centrally deploy policies to configure, manage, and govern your data protection operations. With this launch, AWS Backup support for Amazon Timestream for LiveAnalytics is available in the following Regions: US East (N. Virginia, Ohio, Oregon), Asia Pacific (Mumbai, Sydney, Tokyo), Europe (Frankfurt, Ireland), and AWS GovCloud (US-West). For more information on regional availability, feature availability, and pricing, see the AWS Backup pricing page and the AWS Backup Feature Availability page. To learn more about AWS Backup support for Amazon Timestream for LiveAnalytics, visit AWS Backup’s technical documentation. To get started, visit the AWS Backup console.  

Today, we are announcing AWS CloudFormation support for AWS Parallel Computing Service (AWS PCS). Using AWS CloudFormation, you can easily create and manage PCS clusters and automate your cluster administration tasks.

AWS PCS is a managed service that makes it easier for you to run and scale your high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. You can use AWS PCS to build complete, elastic environments that integrate compute, storage, networking, and visualization tools. AWS PCS simplifies cluster operations with managed updates and built-in observability features, helping to remove the burden of maintenance. You can work in a familiar environment, focusing on your research and innovation instead of worrying about infrastructure.

To get started with using AWS CloudFormation with AWS PCS, please refer to the documentation. To learn more about AWS PCS, please refer service documentation. For more information on pricing and region availability, refer to the PCS pricing and AWS Region Table.
 

 

​Today, we are announcing AWS CloudFormation support for AWS Parallel Computing Service (AWS PCS). Using AWS CloudFormation, you can easily create and manage PCS clusters and automate your cluster administration tasks. AWS PCS is a managed service that makes it easier for you to run and scale your high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. You can use AWS PCS to build complete, elastic environments that integrate compute, storage, networking, and visualization tools. AWS PCS simplifies cluster operations with managed updates and built-in observability features, helping to remove the burden of maintenance. You can work in a familiar environment, focusing on your research and innovation instead of worrying about infrastructure. To get started with using AWS CloudFormation with AWS PCS, please refer to the documentation. To learn more about AWS PCS, please refer service documentation. For more information on pricing and region availability, refer to the PCS pricing and AWS Region Table.    

Today, AWS has launched a self-service feature that allows customers with billing address in United States to update their business names on AWS Invoices. This capability empowers AWS customers with Billing Address in United states to update business names on AWS Invoices, without having to reach out to AWS customer support or concierge teams. Updated invoices will be accessible within the AWS Billing and Cost Management Console within 24 hours of initiation.

With this self-serve feature, US customers can update the business name on the account and initiate an invoice update from the AWS Bills page in the AWS Billing and Cost management console. The updated invoice will be available on the Invoice tab of the AWS Bills page in the AWS Billing and Cost management console. Customers outside US can continue to work with AWS Customer Support and Concierge teams to update the business names on AWS Invoices. Please access the product page to learn how to use AWS Bills page.

The self-serve feature for US customers to update business names on AWS Invoices is available in all public AWS Regions, except the AWS GovCloud (US) Regions and the China Regions.

 

​Today, AWS has launched a self-service feature that allows customers with billing address in United States to update their business names on AWS Invoices. This capability empowers AWS customers with Billing Address in United states to update business names on AWS Invoices, without having to reach out to AWS customer support or concierge teams. Updated invoices will be accessible within the AWS Billing and Cost Management Console within 24 hours of initiation. With this self-serve feature, US customers can update the business name on the account and initiate an invoice update from the AWS Bills page in the AWS Billing and Cost management console. The updated invoice will be available on the Invoice tab of the AWS Bills page in the AWS Billing and Cost management console. Customers outside US can continue to work with AWS Customer Support and Concierge teams to update the business names on AWS Invoices. Please access the product page to learn how to use AWS Bills page. The self-serve feature for US customers to update business names on AWS Invoices is available in all public AWS Regions, except the AWS GovCloud (US) Regions and the China Regions.  

AWS Resilience Hub now supports an enhanced integration with AWS Fault Injection Service (AWS FIS) to offer tailored experiment recommendations. Fault injection experiments help test and improve your applications’ performance, observability, and resilience. When you onboard an application to the Resilience Hub, you receive customized experiment recommendations based on the specific application context.

With this launch, you can begin resilience testing with just a few clicks in the Resilience Hub Console. Resilience Hub offers tailored experiment recommendations using AWS FIS actions and scenarios to replicate the symptoms of possible application impairment events. This simplifies the process for proactively testing applications to verify and improve resilience. Your resilience score, which enables you to track your resilience posture over time, improves when you run a Resilience Hub-recommended experiment or conduct your own AWS FIS experiments.

These capabilities are available in all AWS Regions where both Resilience Hub and FIS are available. For the latest information on availability, please refer to the AWS Regional Services List.

For more information on this integration, visit the AWS Resilience Hub product page. To get started, sign in to the AWS console.
 

 

​AWS Resilience Hub now supports an enhanced integration with AWS Fault Injection Service (AWS FIS) to offer tailored experiment recommendations. Fault injection experiments help test and improve your applications’ performance, observability, and resilience. When you onboard an application to the Resilience Hub, you receive customized experiment recommendations based on the specific application context. With this launch, you can begin resilience testing with just a few clicks in the Resilience Hub Console. Resilience Hub offers tailored experiment recommendations using AWS FIS actions and scenarios to replicate the symptoms of possible application impairment events. This simplifies the process for proactively testing applications to verify and improve resilience. Your resilience score, which enables you to track your resilience posture over time, improves when you run a Resilience Hub-recommended experiment or conduct your own AWS FIS experiments. These capabilities are available in all AWS Regions where both Resilience Hub and FIS are available. For the latest information on availability, please refer to the AWS Regional Services List. For more information on this integration, visit the AWS Resilience Hub product page. To get started, sign in to the AWS console.    

AWS Glue announces 16 new connectors for applications, expanding its connectivity portfolio. Now, customers can use AWS Glue native connectors to ingest data from Adobe Analytics, Asana, Datadog, Facebook Page Insights, Freshdesk, Freshsales, Google Search Console, Linkedin, Mixpanel, Paypal Checkout, Quickbooks, SendGrid, SmartSheets, Twilio, WooCommerce and Zoom Meetings.

As enterprises increasingly rely on data-driven decisions, they need to integrate with data from various applications. With 16 new connectors, customers have more options to easily establish a connection to their applications using the AWS Glue console or AWS Glue APIs without the need to learn application-specific APIs. Glue native connectors provide the scalability and performance of the AWS Glue Spark engine along with support for standard authorization and authentication methods like OAuth 2. With these connectors, customers can test connections, validate their connection credentials, preview data, and browse metadata.

AWS Glue native connectors to Adobe Analytics, Asana, Datadog, Facebook Page Insights, Freshdesk, Freshsales, Google Search Console, Linkedin, Mixpanel, Paypal Checkout, Quickbooks, SendGrid, SmartSheets, Twilio, WooCommerce and Zoom Meetings are available in all AWS commercial regions.

To get started, create new AWS Glue connections with these connectors and use them as source in AWS Glue studio. To learn more, visit AWS Glue documentation for connectors.
 

 

​AWS Glue announces 16 new connectors for applications, expanding its connectivity portfolio. Now, customers can use AWS Glue native connectors to ingest data from Adobe Analytics, Asana, Datadog, Facebook Page Insights, Freshdesk, Freshsales, Google Search Console, Linkedin, Mixpanel, Paypal Checkout, Quickbooks, SendGrid, SmartSheets, Twilio, WooCommerce and Zoom Meetings. As enterprises increasingly rely on data-driven decisions, they need to integrate with data from various applications. With 16 new connectors, customers have more options to easily establish a connection to their applications using the AWS Glue console or AWS Glue APIs without the need to learn application-specific APIs. Glue native connectors provide the scalability and performance of the AWS Glue Spark engine along with support for standard authorization and authentication methods like OAuth 2. With these connectors, customers can test connections, validate their connection credentials, preview data, and browse metadata. AWS Glue native connectors to Adobe Analytics, Asana, Datadog, Facebook Page Insights, Freshdesk, Freshsales, Google Search Console, Linkedin, Mixpanel, Paypal Checkout, Quickbooks, SendGrid, SmartSheets, Twilio, WooCommerce and Zoom Meetings are available in all AWS commercial regions. To get started, create new AWS Glue connections with these connectors and use them as source in AWS Glue studio. To learn more, visit AWS Glue documentation for connectors.    

Today, we are announcing Slurm 24.05 support in AWS Parallel Computing Service (AWS PCS). You can now create AWS PCS clusters running the newer Slurm 24.05 version.

AWS PCS’ release of Slurm 24.05 provides new Slurm fixes and security updates, including improved auditing for RPC calls, hardened security, and enhancements in Slurm client commands. With this release, AWS PCS also enables a series of Slurm functionalities out of the box, such as improved fanout with partition locality, SHA-3 for cryptographic hashing, and job containers for prolog execution.

To get started with using Slurm 24.05 in AWS PCS via AWS Management Console or AWS SDK, please refer to the documentation. To learn more about AWS PCS, please refer service documentation. For more information on pricing and region availability, refer to the PCS Pricing and AWS Region Table.

 

​Today, we are announcing Slurm 24.05 support in AWS Parallel Computing Service (AWS PCS). You can now create AWS PCS clusters running the newer Slurm 24.05 version. AWS PCS’ release of Slurm 24.05 provides new Slurm fixes and security updates, including improved auditing for RPC calls, hardened security, and enhancements in Slurm client commands. With this release, AWS PCS also enables a series of Slurm functionalities out of the box, such as improved fanout with partition locality, SHA-3 for cryptographic hashing, and job containers for prolog execution. To get started with using Slurm 24.05 in AWS PCS via AWS Management Console or AWS SDK, please refer to the documentation. To learn more about AWS PCS, please refer service documentation. For more information on pricing and region availability, refer to the PCS Pricing and AWS Region Table.  

Amazon Q Business, the most capable generative AI-powered assistant for finding information, gaining insight, and taking action at work, now offers enhanced administration capabilities, providing valuable insights from AI conversations and user feedback information. With the new analytics dashboard, administrators can view and analyze various aspects of these conversations, including:

1. No answer found queries: Administrators can review conversations where Amazon Q Business couldn’t provide relevant answers, helping identify data gaps or areas that require improvement.
2. Blocked queries: Administrators can view queries that contain blocked words as configured in Amazon Q Business Admin controls and guardrails, facilitating monitoring and auditing of sensitive queries.
3. End-user feedback: This feature provides access to end user feedback on queries enabling administrators to identify areas where data sources need improvement or where end-users may lack access to necessary documents.

These new features offer administrators visibility into the performance of their Amazon Q Business application. By empowering administrators to identify and address data gaps, permission issues, and user experience challenges, the new capabilities serve as valuable tools for enhancing the overall Amazon Q Business user experience and satisfaction. Furthermore, the analytics dashboard now allows administrators to gain deeper insights into user interactions and usage patterns, enabling them to pinpoint areas for improvement and optimize applications.

The enhanced analytics dashboard for Amazon Q Business is now available in all AWS Regions where Amazon Q Business is available. To learn more, visit the Amazon Q Business documentation, or activate your analytics dashboard to start leveraging these powerful insights.

 

​Amazon Q Business, the most capable generative AI-powered assistant for finding information, gaining insight, and taking action at work, now offers enhanced administration capabilities, providing valuable insights from AI conversations and user feedback information. With the new analytics dashboard, administrators can view and analyze various aspects of these conversations, including:

No answer found queries: Administrators can review conversations where Amazon Q Business couldn’t provide relevant answers, helping identify data gaps or areas that require improvement.
Blocked queries: Administrators can view queries that contain blocked words as configured in Amazon Q Business Admin controls and guardrails, facilitating monitoring and auditing of sensitive queries.
End-user feedback: This feature provides access to end user feedback on queries enabling administrators to identify areas where data sources need improvement or where end-users may lack access to necessary documents.

These new features offer administrators visibility into the performance of their Amazon Q Business application. By empowering administrators to identify and address data gaps, permission issues, and user experience challenges, the new capabilities serve as valuable tools for enhancing the overall Amazon Q Business user experience and satisfaction. Furthermore, the analytics dashboard now allows administrators to gain deeper insights into user interactions and usage patterns, enabling them to pinpoint areas for improvement and optimize applications. The enhanced analytics dashboard for Amazon Q Business is now available in all AWS Regions where Amazon Q Business is available. To learn more, visit the Amazon Q Business documentation, or activate your analytics dashboard to start leveraging these powerful insights.  

Amazon Connect Tasks can now be configured to expire up to 30 days from creation, with a default of 7 days. For example, less urgent tasks like monthly expense notifications can stay active for up to 30 days before escalating to a supervisor, while urgent tasks like customer escalations can now be sent to a supervisor after 1 minute. Amazon Connect Tasks empowers you to prioritize, assign, and track all contact center agent tasks to completion, improving agent productivity and ensuring customer issues are quickly resolved.

This feature is supported in all AWS regions where Amazon Connect is offered. To learn more, see our documentation. To learn more about Amazon Connect, the easy-to-use cloud contact center, visit the Amazon Connect website.

 

​Amazon Connect Tasks can now be configured to expire up to 30 days from creation, with a default of 7 days. For example, less urgent tasks like monthly expense notifications can stay active for up to 30 days before escalating to a supervisor, while urgent tasks like customer escalations can now be sent to a supervisor after 1 minute. Amazon Connect Tasks empowers you to prioritize, assign, and track all contact center agent tasks to completion, improving agent productivity and ensuring customer issues are quickly resolved. This feature is supported in all AWS regions where Amazon Connect is offered. To learn more, see our documentation. To learn more about Amazon Connect, the easy-to-use cloud contact center, visit the Amazon Connect website.  

AWS Database Migration Service (AWS DMS) now allows customers to use Kerberos authentication to securely connect to Oracle and SQL Server source endpoints. This feature allows users to authenticate database connections using the Kerberos protocol, a widely adopted standard for secure identity verification.

With this update, AWS DMS can authenticate using credentials stored in AWS Directory Service for Microsoft Active Directory or in an on-premises Microsoft Active Directory that has a forest trust relationship with an AWS Managed Active Directory. Customers can use this feature for Oracle Database and SQL Server without additional licensing costs, simplifying secure migrations.

This feature can be configured directly in the AWS DMS Console, CLI, or SDK. To learn more about Kerberos authentication with AWS DMS, please refer to our technical documentation.

 

​AWS Database Migration Service (AWS DMS) now allows customers to use Kerberos authentication to securely connect to Oracle and SQL Server source endpoints. This feature allows users to authenticate database connections using the Kerberos protocol, a widely adopted standard for secure identity verification. With this update, AWS DMS can authenticate using credentials stored in AWS Directory Service for Microsoft Active Directory or in an on-premises Microsoft Active Directory that has a forest trust relationship with an AWS Managed Active Directory. Customers can use this feature for Oracle Database and SQL Server without additional licensing costs, simplifying secure migrations. This feature can be configured directly in the AWS DMS Console, CLI, or SDK. To learn more about Kerberos authentication with AWS DMS, please refer to our technical documentation.  

Today, AWS Backup announces support for search and item-level recovery for Amazon EBS Snapshots and Amazon S3 backups. This capability allows you to search the metadata of your backups so you can find specific files or objects across your backups and recover up to 5 items at a time, allowing for faster recovery times.

You can get started with search and item-level recovery using the AWS Backup console, API, or CLI. In order to search your Amazon EBS Snapshots or Amazon S3 backups, you must first create a backup index. You can create a backup index via a backup plan, or on-demand after your backup has been created. Once indexed, you can search across multiple backups to locate specific files or objects, without needing to restore multiple backups. You can specify your search criteria based on one or more filters such as file or object name, creation time, and size, as well as resource specific attributes like Amazon S3 object versions to narrow down your results. Once you identify the specific files or objects you are looking for, you can choose to restore just these items directly to an Amazon S3 bucket rather than restoring the full backup, allowing for quicker recovery times.

AWS Backup support for search and item-level recovery for Amazon EBS Snapshots and Amazon S3 Backups is available in all commercial Regions, where AWS Backup supports Amazon EBS Snapshots and Amazon S3 backups. For information on using AWS Backup search and performing item-level recovery, visit the launch blog and AWS Backup documentation.

 

​Today, AWS Backup announces support for search and item-level recovery for Amazon EBS Snapshots and Amazon S3 backups. This capability allows you to search the metadata of your backups so you can find specific files or objects across your backups and recover up to 5 items at a time, allowing for faster recovery times. You can get started with search and item-level recovery using the AWS Backup console, API, or CLI. In order to search your Amazon EBS Snapshots or Amazon S3 backups, you must first create a backup index. You can create a backup index via a backup plan, or on-demand after your backup has been created. Once indexed, you can search across multiple backups to locate specific files or objects, without needing to restore multiple backups. You can specify your search criteria based on one or more filters such as file or object name, creation time, and size, as well as resource specific attributes like Amazon S3 object versions to narrow down your results. Once you identify the specific files or objects you are looking for, you can choose to restore just these items directly to an Amazon S3 bucket rather than restoring the full backup, allowing for quicker recovery times. AWS Backup support for search and item-level recovery for Amazon EBS Snapshots and Amazon S3 Backups is available in all commercial Regions, where AWS Backup supports Amazon EBS Snapshots and Amazon S3 backups. For information on using AWS Backup search and performing item-level recovery, visit the launch blog and AWS Backup documentation.