Amazon Connect now supports parallel execution of AWS Lambda functions in flows, enabling faster and more seamless customer experiences. Amazon Connect allows you to integrate with third-party or homegrown systems such as CRMs using Lambda to automate tasks like reading or updating customer records. With this launch, you can now execute multiple Lambda functions concurrently or continue progressing the flow and run additional actions while a Lambda runs. For example, in an automated customer interaction, you can now look up a customer’s past purchases while simultaneously checking for active promotions and playing a message about a new offer. These capabilities can be configured directly in the drag-and-drop flow designer using the “Lambda” and “Wait” flow blocks, or through public APIs.

To learn more, see the Amazon Connect Administrator Guide. These features are available in all AWS regions where Amazon Connect is available. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website. 

 

​Amazon Connect now supports parallel execution of AWS Lambda functions in flows, enabling faster and more seamless customer experiences. Amazon Connect allows you to integrate with third-party or homegrown systems such as CRMs using Lambda to automate tasks like reading or updating customer records. With this launch, you can now execute multiple Lambda functions concurrently or continue progressing the flow and run additional actions while a Lambda runs. For example, in an automated customer interaction, you can now look up a customer’s past purchases while simultaneously checking for active promotions and playing a message about a new offer. These capabilities can be configured directly in the drag-and-drop flow designer using the “Lambda” and “Wait” flow blocks, or through public APIs. To learn more, see the Amazon Connect Administrator Guide. These features are available in all AWS regions where Amazon Connect is available. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.   

Customers in AWS Asia Pacific (Malaysia) Region can now use AWS Transfer Family web apps.

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.

 

​Customers in AWS Asia Pacific (Malaysia) Region can now use AWS Transfer Family web apps. 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.  

Amazon Q Developer now enables you to query and analyze data stored in your AWS services directly from the AWS Management Console as well as Slack, Microsoft Teams chat, and the AWS Console Mobile Application. For example, Amazon Q Developer can now analyze transaction receipts stored in an AWS S3 bucket, examine records in AWS DynamoDB tables, or review CloudWatch logs, all through natural language conversations. This feature helps reduce the time and effort required to manage and troubleshoot your cloud environment by eliminating the need to navigate multiple interfaces or manually compile information from different sources. This feature is available today without any additional configuration necessary.

Amazon Q Developer’s service data queries are available in all AWS Regions where Amazon Q Developer is supported. To align with their organization’s security and governance requirements, administrators can use IAM permissions to control the service data Amazon Q is allowed to access.

To learn more about Amazon Q’s service data query capabilities, visit the Amazon Q documentation.

 

​Amazon Q Developer now enables you to query and analyze data stored in your AWS services directly from the AWS Management Console as well as Slack, Microsoft Teams chat, and the AWS Console Mobile Application. For example, Amazon Q Developer can now analyze transaction receipts stored in an AWS S3 bucket, examine records in AWS DynamoDB tables, or review CloudWatch logs, all through natural language conversations. This feature helps reduce the time and effort required to manage and troubleshoot your cloud environment by eliminating the need to navigate multiple interfaces or manually compile information from different sources. This feature is available today without any additional configuration necessary. Amazon Q Developer’s service data queries are available in all AWS Regions where Amazon Q Developer is supported. To align with their organization’s security and governance requirements, administrators can use IAM permissions to control the service data Amazon Q is allowed to access. To learn more about Amazon Q’s service data query capabilities, visit the Amazon Q documentation.  

AWS Site-to-Site VPN now supports IPv6 addresses on outer tunnel IPs, making it easier for customers to build or transition to IPv6-only networks. Customers with mandates to use IPv6 network address deployments can now easily build IPv6-only VPN connections to meet their regulatory and compliance needs.

AWS Site-to-Site VPN is a fully managed service that allows you to create a secure connection between your data center or branch office and your AWS resources using IP Security (IPSec) tunnels. Until now, customers could use IPv6 addresses on the inner tunnels of their VPN connections, but the outer tunnels still required public IPv4 addresses. With this launch, customers can now configure IPv6 addresses on both inner and outer tunnels of their VPN connection, eliminating the complexity of dealing with cross IPv4/IPv6 addressing scheme. This feature also helps customers reduce their public IPv4 costs as there is no charge for using IPv6 address on the outer tunnel IP.

This capability is available in all AWS commercial Regions and AWS GovCloud (US) Regions where AWS Site-to-Site VPN is available, except Europe (Milan) Region. To learn more and get started, visit the AWS Site-to-Site VPN documentation.

 

​AWS Site-to-Site VPN now supports IPv6 addresses on outer tunnel IPs, making it easier for customers to build or transition to IPv6-only networks. Customers with mandates to use IPv6 network address deployments can now easily build IPv6-only VPN connections to meet their regulatory and compliance needs. AWS Site-to-Site VPN is a fully managed service that allows you to create a secure connection between your data center or branch office and your AWS resources using IP Security (IPSec) tunnels. Until now, customers could use IPv6 addresses on the inner tunnels of their VPN connections, but the outer tunnels still required public IPv4 addresses. With this launch, customers can now configure IPv6 addresses on both inner and outer tunnels of their VPN connection, eliminating the complexity of dealing with cross IPv4/IPv6 addressing scheme. This feature also helps customers reduce their public IPv4 costs as there is no charge for using IPv6 address on the outer tunnel IP. This capability is available in all AWS commercial Regions and AWS GovCloud (US) Regions where AWS Site-to-Site VPN is available, except Europe (Milan) Region. To learn more and get started, visit the AWS Site-to-Site VPN documentation.  

AWS Network Firewall now supports native integration with AWS Transit Gateway for centralized traffic inspection in all AWS Regions where both services are available. This integration enables customers to directly attach a network firewall to a transit gateway and easily route traffic between these services for consistent traffic inspection. The new feature eliminates the need to manage dedicated VPC subnets and route tables when connecting these services.

You can use this capability to protect traffic across your entire AWS network including VPCs and on-premises networks connected via AWS Site-to-Site VPN or AWS Direct Connect. The integration improves network security and resiliency through automatic multi-AZ redundancy, ensuring continuous service availability across regions.

Native integration is available in all AWS Regions where both AWS Network Firewall and AWS Transit Gateway are supported.

To learn more, visit the AWS Network Firewall service documentation.

 

​AWS Network Firewall now supports native integration with AWS Transit Gateway for centralized traffic inspection in all AWS Regions where both services are available. This integration enables customers to directly attach a network firewall to a transit gateway and easily route traffic between these services for consistent traffic inspection. The new feature eliminates the need to manage dedicated VPC subnets and route tables when connecting these services. You can use this capability to protect traffic across your entire AWS network including VPCs and on-premises networks connected via AWS Site-to-Site VPN or AWS Direct Connect. The integration improves network security and resiliency through automatic multi-AZ redundancy, ensuring continuous service availability across regions. Native integration is available in all AWS Regions where both AWS Network Firewall and AWS Transit Gateway are supported. To learn more, visit the AWS Network Firewall service documentation.  

Today, we’re announcing the launch of API keys for Amazon Bedrock to simplify the getting started experience and accelerate generative AI development. API keys for Amazon Bedrock enable developers to quickly generate access credentials directly within the Amazon Bedrock console or AWS SDK without needing to manually configure IAM principals and policies.

With the introduction of API keys for Amazon Bedrock, developers can generate short-term and long-term API keys directly from the Amazon Bedrock console or API to authenticate API calls to Amazon Bedrock models. Short-term API keys are valid for the duration of your console session, or up to 12 hours, whichever is shorter. Long-term API keys give you the flexibility to define key validity duration and manage the keys from the AWS IAM console.

Amazon Bedrock API key authentication is available in 20 AWS Regions where Amazon Bedrock is available: Asia Pacific (Hyderabad, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), South America (São Paulo), US East (N. Virginia, Ohio), and US West (Oregon).

To learn more about API keys in Amazon Bedrock, visit the API Keys documentation in the Amazon Bedrock user guide, or check out our blog for code snippets and implementation examples.

 

​Today, we’re announcing the launch of API keys for Amazon Bedrock to simplify the getting started experience and accelerate generative AI development. API keys for Amazon Bedrock enable developers to quickly generate access credentials directly within the Amazon Bedrock console or AWS SDK without needing to manually configure IAM principals and policies. With the introduction of API keys for Amazon Bedrock, developers can generate short-term and long-term API keys directly from the Amazon Bedrock console or API to authenticate API calls to Amazon Bedrock models. Short-term API keys are valid for the duration of your console session, or up to 12 hours, whichever is shorter. Long-term API keys give you the flexibility to define key validity duration and manage the keys from the AWS IAM console. Amazon Bedrock API key authentication is available in 20 AWS Regions where Amazon Bedrock is available: Asia Pacific (Hyderabad, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), South America (São Paulo), US East (N. Virginia, Ohio), and US West (Oregon). To learn more about API keys in Amazon Bedrock, visit the API Keys documentation in the Amazon Bedrock user guide, or check out our blog for code snippets and implementation examples.  

Amazon Q in QuickSight is now generally available in Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Tokyo), Europe (Stockholm), Europe (Paris), Europe (Zurich) and US East (Ohio), adding to our existing regions: Asia Pacific (Mumbai), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), South America (São Paulo), US East (N. Virginia), and US West (Oregon).

This latest expansion brings the power of Generative Business Intelligence to more customers worldwide, enabling them to leverage natural language capabilities of Amazon Q to quickly extract insights from data, make better business decisions, and accelerate the work of business analysts.

With Amazon Q in QuickSight, users can generate documents, slide decks, and executive summaries explaining data and providing recommendations tailored to their business. The data Q&A experience empowers users to confidently answer questions of data, even those not covered by existing dashboards.

QuickSight Scenarios allows for guided step-by-step deeper exploration of past trends, future scenarios and modeling of solutions in natural language without the need of specialized skills. Scenarios is now generally available to QuickSight Pro users in Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (London), Europe (Paris), and US East (Ohio) in addition to existing regions : US East (N. Virginia), US West (Oregon), Europe (Frankfurt), and Europe (Ireland)

This launch expands availability of Amazon Q in QuickSight capabilities within existing QuickSight Regions, reducing latency to access services and helping customers meet data residency compliance.

Amazon Q in QuickSight is not trained on customer data, and its governance and data security features meet the most stringent requirements for enterprise and government customers.

To learn more visit the Amazon Q in QuickSight product page and try it FREE for 30-days.

 

​Amazon Q in QuickSight is now generally available in Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Tokyo), Europe (Stockholm), Europe (Paris), Europe (Zurich) and US East (Ohio), adding to our existing regions: Asia Pacific (Mumbai), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), South America (São Paulo), US East (N. Virginia), and US West (Oregon). This latest expansion brings the power of Generative Business Intelligence to more customers worldwide, enabling them to leverage natural language capabilities of Amazon Q to quickly extract insights from data, make better business decisions, and accelerate the work of business analysts. With Amazon Q in QuickSight, users can generate documents, slide decks, and executive summaries explaining data and providing recommendations tailored to their business. The data Q&A experience empowers users to confidently answer questions of data, even those not covered by existing dashboards. QuickSight Scenarios allows for guided step-by-step deeper exploration of past trends, future scenarios and modeling of solutions in natural language without the need of specialized skills. Scenarios is now generally available to QuickSight Pro users in Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (London), Europe (Paris), and US East (Ohio) in addition to existing regions : US East (N. Virginia), US West (Oregon), Europe (Frankfurt), and Europe (Ireland) This launch expands availability of Amazon Q in QuickSight capabilities within existing QuickSight Regions, reducing latency to access services and helping customers meet data residency compliance. Amazon Q in QuickSight is not trained on customer data, and its governance and data security features meet the most stringent requirements for enterprise and government customers. To learn more visit the Amazon Q in QuickSight product page and try it FREE for 30-days.  

AWS Config now supports 12 additional AWS resource types. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources.

With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators.

You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available:

Resource Types

AWS::BackupGateway::Hypervisor

AWS::CloudFront::PublicKey

AWS::BCMDataExports::Export

AWS::EntityResolution::IdMappingWorkflow

AWS::CloudFormation::GuardHook

AWS::S3Tables::TableBucket

AWS::EntityResolution::SchemaMapping

AWS::IoT::DomainConfiguration

AWS::PCAConnectorAD::DirectoryRegistration

AWS::RDS::Integration

AWS::Bedrock::Guardrail

AWS::Bedrock::KnowledgeBase

To view the complete list of AWS Config supported resource types, see supported resource types page.

 

​AWS Config now supports 12 additional AWS resource types. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources. With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators. You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available:

Resource Types

AWS::BackupGateway::Hypervisor

AWS::CloudFront::PublicKey

AWS::BCMDataExports::Export

AWS::EntityResolution::IdMappingWorkflow

AWS::CloudFormation::GuardHook

AWS::S3Tables::TableBucket

AWS::EntityResolution::SchemaMapping

AWS::IoT::DomainConfiguration

AWS::PCAConnectorAD::DirectoryRegistration

AWS::RDS::Integration

AWS::Bedrock::Guardrail

AWS::Bedrock::KnowledgeBase

To view the complete list of AWS Config supported resource types, see supported resource types page.  

Today, we’re announcing the integration of Amazon Neptune Analytics with Mem0, an open-source, agentic memory system purpose-built for generative AI (GenAI) applications. With this launch, customers can use Neptune as the graph store for memory retrieval and reasoning, enabling long-term memory for AI agents across richly connected graphs—powering more personalized and context-aware AI experiences.

This integration allows Mem0 users to store and query memory graphs at scale, unlocking advanced use cases where LLMs need to learn from each interaction, becoming more personalized and effective over time. It enables graph-native long-term memory for LLMs by using Neptune as an external memory store, improving response quality through multi-hop graph reasoning, and supporting hybrid retrieval across graph, vector, and keyword modalities.

Mem0 is a self-improving memory layer that powers personalized, cost-efficient GenAI experiences. To learn more about the Neptune–Mem0 integration, visit the User Guide.

 

​Today, we’re announcing the integration of Amazon Neptune Analytics with Mem0, an open-source, agentic memory system purpose-built for generative AI (GenAI) applications. With this launch, customers can use Neptune as the graph store for memory retrieval and reasoning, enabling long-term memory for AI agents across richly connected graphs—powering more personalized and context-aware AI experiences. This integration allows Mem0 users to store and query memory graphs at scale, unlocking advanced use cases where LLMs need to learn from each interaction, becoming more personalized and effective over time. It enables graph-native long-term memory for LLMs by using Neptune as an external memory store, improving response quality through multi-hop graph reasoning, and supporting hybrid retrieval across graph, vector, and keyword modalities. Mem0 is a self-improving memory layer that powers personalized, cost-efficient GenAI experiences. To learn more about the Neptune–Mem0 integration, visit the User Guide.  

Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (Taipei).

Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.

To learn more and get started, see SageMaker AI documentation and pricing page.

 

​Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (Taipei).
Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.
To learn more and get started, see SageMaker AI documentation and pricing page.