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.  

AWS Resilience Hub now automatically detects and integrates existing Amazon CloudWatch alarms into its resilience assessments, providing a more comprehensive view of your application’s resilience posture. This new capability combines AWS Resilience Hub recommendations with your current monitoring setup to streamline alarm management and enhance assessment accuracy.

As part of Operational Recommendations, AWS Resilience Hub advises setting up Amazon CloudWatch alarms to monitor application resilience. With this update, Resilience Hub now identifies and includes any relevant Amazon CloudWatch alarms you’ve already configured, eliminating the need for manual entry. Alarms that align with Resilience Hub’s recommendations are marked as «Implemented,» minimizing redundant suggestions. By incorporating your existing alarms into the resilience score, AWS Resilience Hub now offers a more accurate assessment of application resilience.

The new capabilities are available in all of the AWS Regions where Resilience Hub is supported. See the AWS Regional Services List for the most up-to-date availability information.

To learn more about this feature and how it can benefit your applications, visit the AWS Resilience Hub product page.

 

​AWS Resilience Hub now automatically detects and integrates existing Amazon CloudWatch alarms into its resilience assessments, providing a more comprehensive view of your application’s resilience posture. This new capability combines AWS Resilience Hub recommendations with your current monitoring setup to streamline alarm management and enhance assessment accuracy. As part of Operational Recommendations, AWS Resilience Hub advises setting up Amazon CloudWatch alarms to monitor application resilience. With this update, Resilience Hub now identifies and includes any relevant Amazon CloudWatch alarms you’ve already configured, eliminating the need for manual entry. Alarms that align with Resilience Hub’s recommendations are marked as «Implemented,» minimizing redundant suggestions. By incorporating your existing alarms into the resilience score, AWS Resilience Hub now offers a more accurate assessment of application resilience. The new capabilities are available in all of the AWS Regions where Resilience Hub is supported. See the AWS Regional Services List for the most up-to-date availability information. To learn more about this feature and how it can benefit your applications, visit the AWS Resilience Hub product page.  

AWS Marketplace now allows sellers to enhance product detail pages with videos and images through a new self-service promotional media feature. Prominently shown on product detail pages, promotional media provides customers with an enriched way to discover and evaluate products in AWS Marketplace. This launch expands media support to images and provides sellers a self-service way to add and manage media and related metadata.

With the new self-service promotional media feature, AWS Marketplace sellers can add, update, and remove media from product detail pages, reducing the time to onboard or refresh product listing content. Sellers can now directly upload media through AWS Marketplace Management Portal or reference public S3 links. In addition to videos, sellers can now add images such as demo screenshots, product feature highlights, diagrams, and more.

This feature is available for software as a service (SaaS), Amazon Machine Image (AMI), and container products in all commercial AWS Regions where AWS Marketplace is available.

To learn more, visit the AWS Marketplace Seller Guide. To start utilizing the new self-service feature to add or refresh media on your product detail pages, visit the AWS Marketplace Management Portal.

 

​AWS Marketplace now allows sellers to enhance product detail pages with videos and images through a new self-service promotional media feature. Prominently shown on product detail pages, promotional media provides customers with an enriched way to discover and evaluate products in AWS Marketplace. This launch expands media support to images and provides sellers a self-service way to add and manage media and related metadata. With the new self-service promotional media feature, AWS Marketplace sellers can add, update, and remove media from product detail pages, reducing the time to onboard or refresh product listing content. Sellers can now directly upload media through AWS Marketplace Management Portal or reference public S3 links. In addition to videos, sellers can now add images such as demo screenshots, product feature highlights, diagrams, and more. This feature is available for software as a service (SaaS), Amazon Machine Image (AMI), and container products in all commercial AWS Regions where AWS Marketplace is available. To learn more, visit the AWS Marketplace Seller Guide. To start utilizing the new self-service feature to add or refresh media on your product detail pages, visit the AWS Marketplace Management Portal.  

AWS re:Post expanded language support to include a total of 8 languages, now featuring Spanish and Portuguese. This enhancement creates a more inclusive experience for our diverse global user base, allowing more users to engage with the community in their preferred language. By breaking down language barriers, we’re making it easier for AWS users worldwide to seek help, share knowledge, and collaborate effectively. Whether you’re more comfortable communicating in Spanish, Portuguese, or any of the other supported languages, you can now fully participate in AWS discussions and community interactions, fostering better communication and accessibility across the AWS ecosystem.

Community members on re:Post can now publish content in Spanish and Portuguese in addition to English, French, Korean, Japanese, Traditional and Simplified Chinese, that have been already supported on re:Post. Premium Support customers get prioritized responses from AWS Support Engineers if their questions are not answered by the community.

These features are available for re:Post customers globally.

Explore re:Post in Spanish and Portuguese today.

 

​AWS re:Post expanded language support to include a total of 8 languages, now featuring Spanish and Portuguese. This enhancement creates a more inclusive experience for our diverse global user base, allowing more users to engage with the community in their preferred language. By breaking down language barriers, we’re making it easier for AWS users worldwide to seek help, share knowledge, and collaborate effectively. Whether you’re more comfortable communicating in Spanish, Portuguese, or any of the other supported languages, you can now fully participate in AWS discussions and community interactions, fostering better communication and accessibility across the AWS ecosystem. Community members on re:Post can now publish content in Spanish and Portuguese in addition to English, French, Korean, Japanese, Traditional and Simplified Chinese, that have been already supported on re:Post. Premium Support customers get prioritized responses from AWS Support Engineers if their questions are not answered by the community. These features are available for re:Post customers globally. Explore re:Post in Spanish and Portuguese today.  

You can now use Amazon Route 53 Resolver endpoints for hybrid cloud configurations in the Asia Pacific (Thailand) and Mexico (Central) Regions. With this launch, you also have the option to enable Route 53 Resolver endpoints in the Asia Pacific (Thailand) and Mexico (Central) Regions with DNS-over-HTTPS (DoH).

Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) service. Amazon Route 53 Resolver endpoints make hybrid cloud configurations easier to manage by enabling seamless DNS query resolution across your entire hybrid cloud. Create Route 53 Resolver endpoints and conditional forwarding rules to allow resolution of DNS namespaces between your on-premises data center and Amazon Virtual Private Cloud (Amazon VPC). You can also opt-in to use DoH on the endpoints (both inbound and outbound) and create rules to forward DoH traffic to destinations of your choice, to ensure DNS traffic across your hybrid cloud is encrypted via DoH.

Visit the AWS Region Table to see all AWS Regions where Amazon Route 53 Resolver is available. Please visit our product page to learn more about Amazon Route 53 Resolver and pricing.

 

​You can now use Amazon Route 53 Resolver endpoints for hybrid cloud configurations in the Asia Pacific (Thailand) and Mexico (Central) Regions. With this launch, you also have the option to enable Route 53 Resolver endpoints in the Asia Pacific (Thailand) and Mexico (Central) Regions with DNS-over-HTTPS (DoH). Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) service. Amazon Route 53 Resolver endpoints make hybrid cloud configurations easier to manage by enabling seamless DNS query resolution across your entire hybrid cloud. Create Route 53 Resolver endpoints and conditional forwarding rules to allow resolution of DNS namespaces between your on-premises data center and Amazon Virtual Private Cloud (Amazon VPC). You can also opt-in to use DoH on the endpoints (both inbound and outbound) and create rules to forward DoH traffic to destinations of your choice, to ensure DNS traffic across your hybrid cloud is encrypted via DoH. Visit the AWS Region Table to see all AWS Regions where Amazon Route 53 Resolver is available. Please visit our product page to learn more about Amazon Route 53 Resolver and pricing.