Amazon Simple Notification Service (Amazon SNS) now supports additional endpoints that have been validated under the Federal Information Processing Standard (FIPS) 140-3 program in AWS Regions in the United States and Canada.

FIPS compliant endpoints help companies contracting with the US federal government meet the FIPS security requirement to encrypt sensitive data in supported regions. With this expansion, you can use Amazon SNS for workloads that require a FIPS 140-3 validated cryptographic module when sending requests over dual-stack public or VPC endpoints.

Amazon SNS FIPS compliant endpoints are now available in the following regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Canada (Central), Canada West (Calgary) and AWS GovCloud (US). To learn more about FIPS 140-3 at AWS, visit FIPS 140-3 Compliance.

 

​Amazon Simple Notification Service (Amazon SNS) now supports additional endpoints that have been validated under the Federal Information Processing Standard (FIPS) 140-3 program in AWS Regions in the United States and Canada. FIPS compliant endpoints help companies contracting with the US federal government meet the FIPS security requirement to encrypt sensitive data in supported regions. With this expansion, you can use Amazon SNS for workloads that require a FIPS 140-3 validated cryptographic module when sending requests over dual-stack public or VPC endpoints. Amazon SNS FIPS compliant endpoints are now available in the following regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Canada (Central), Canada West (Calgary) and AWS GovCloud (US). To learn more about FIPS 140-3 at AWS, visit FIPS 140-3 Compliance.  

Amazon SageMaker managed MLflow is now available in both AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions.

Amazon SageMaker managed MLflow streamlines AI experimentation and accelerates your GenAI journey from idea to production. MLflow is a popular open-source tool that helps customers manage experiment tracking to providing end-to-end observability, reducing time-to-market for generative AI development.

To learn more, visit the Amazon SageMaker developer guide.

 

​Amazon SageMaker managed MLflow is now available in both AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions. Amazon SageMaker managed MLflow streamlines AI experimentation and accelerates your GenAI journey from idea to production. MLflow is a popular open-source tool that helps customers manage experiment tracking to providing end-to-end observability, reducing time-to-market for generative AI development. To learn more, visit the Amazon SageMaker developer guide.  

Today, we’re announcing that Amazon Elastic VMware Service (Amazon EVS) is now available in all availability zones in the Asia Pacific (Singapore) and Europe (London) Regions. This expansion provides more options to leverage AWS scale and flexibility for running your VMware workloads in the cloud.

Amazon EVS lets you run VMware Cloud Foundation (VCF) directly within your Amazon Virtual Private Cloud (VPC) on EC2 bare-metal instances, powered by AWS Nitro. Using either our step-by-step configuration workflow or the AWS Command Line Interface (CLI) with automated deployment capabilities, you can set up a complete VCF environment in just a few hours. This rapid deployment enables faster workload migration to AWS, helping you eliminate aging infrastructure, reduce operational risks, and meet critical timelines for exiting your data center.

The added availability in the Asia Pacific (Singapore) and Europe (London) Regions gives your VMware workloads lower latency through closer proximity to your end users, compliance with data residency or sovereignty requirements, and additional high availability and resiliency options for your enhanced redundancy strategy.

To get started, visit the Amazon EVS product detail page and user guide. 

 

​Today, we’re announcing that Amazon Elastic VMware Service (Amazon EVS) is now available in all availability zones in the Asia Pacific (Singapore) and Europe (London) Regions. This expansion provides more options to leverage AWS scale and flexibility for running your VMware workloads in the cloud. Amazon EVS lets you run VMware Cloud Foundation (VCF) directly within your Amazon Virtual Private Cloud (VPC) on EC2 bare-metal instances, powered by AWS Nitro. Using either our step-by-step configuration workflow or the AWS Command Line Interface (CLI) with automated deployment capabilities, you can set up a complete VCF environment in just a few hours. This rapid deployment enables faster workload migration to AWS, helping you eliminate aging infrastructure, reduce operational risks, and meet critical timelines for exiting your data center. The added availability in the Asia Pacific (Singapore) and Europe (London) Regions gives your VMware workloads lower latency through closer proximity to your end users, compliance with data residency or sovereignty requirements, and additional high availability and resiliency options for your enhanced redundancy strategy. To get started, visit the Amazon EVS product detail page and user guide.   

Today, AWS announced the expansion of 10 Gbps and 100 Gbps dedicated connections with MACsec encryption capabilities at the existing AWS Direct Connect location in the Equinix BG1 data center near Bogota, Colombia. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location.

The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. 

For more information on the over 146 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

 

​Today, AWS announced the expansion of 10 Gbps and 100 Gbps dedicated connections with MACsec encryption capabilities at the existing AWS Direct Connect location in the Equinix BG1 data center near Bogota, Colombia. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.  For more information on the over 146 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.  

Today, AWS announced the opening of a new AWS Direct Connect location within the Digital Realty MAD3 data center near Madrid, Spain. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This site is the third site in Madrid and the fourth AWS Direct Connect location within Spain. This Direct Connect location offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available.

The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. 

For more information on the over 146 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

 

​Today, AWS announced the opening of a new AWS Direct Connect location within the Digital Realty MAD3 data center near Madrid, Spain. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This site is the third site in Madrid and the fourth AWS Direct Connect location within Spain. This Direct Connect location offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.  For more information on the over 146 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.  

Amazon CloudWatch and OpenSearch Service integrated analytics experience is now available in 5 additional commercial regions: Asia Pacific (Osaka), Asia Pacific (Seoul), Europe (Milan), Europe (Spain), and US West (N. California).

With this integration, CloudWatch Logs customers have two more query languages for log analytics, in addition to CloudWatch Logs Insights QL. Customers can use SQL to analyze data, correlate logs using JOIN, sub-queries, and use SQL functions, namely, JSON, mathematical, datetime, and string functions for intuitive log analytics. They can also use the OpenSearch PPL to filter, aggregate and analyze their data. With a few clicks, CloudWatch Logs customers can create OpenSearch dashboards for VPC, WAF, and CloudTrail logs to monitor, analyze, and troubleshoot using visualizations derived from the logs. OpenSearch customers no longer have to copy logs from CloudWatch for analysis, or create ETL pipelines. Now, they can use OpenSearch Discover to analyze CloudWatch logs in-place, and build indexes and dashboards on CloudWatch Logs.

With this launch the integrated experience is now generally available in Asia Pacific (Osaka), Asia Pacific (Seoul), Europe (Milan), Europe (Spain), and US West (N. California) along with regions where OpenSearch Service direct query is available. Please read pricing and free tier details on Amazon CloudWatch Pricing, and OpenSearch Service Pricing. To get started, please refer to Amazon CloudWatch Logs vended dashboard and Amazon OpenSearch Service Developer Guide.

 

​Amazon CloudWatch and OpenSearch Service integrated analytics experience is now available in 5 additional commercial regions: Asia Pacific (Osaka), Asia Pacific (Seoul), Europe (Milan), Europe (Spain), and US West (N. California). With this integration, CloudWatch Logs customers have two more query languages for log analytics, in addition to CloudWatch Logs Insights QL. Customers can use SQL to analyze data, correlate logs using JOIN, sub-queries, and use SQL functions, namely, JSON, mathematical, datetime, and string functions for intuitive log analytics. They can also use the OpenSearch PPL to filter, aggregate and analyze their data. With a few clicks, CloudWatch Logs customers can create OpenSearch dashboards for VPC, WAF, and CloudTrail logs to monitor, analyze, and troubleshoot using visualizations derived from the logs. OpenSearch customers no longer have to copy logs from CloudWatch for analysis, or create ETL pipelines. Now, they can use OpenSearch Discover to analyze CloudWatch logs in-place, and build indexes and dashboards on CloudWatch Logs. With this launch the integrated experience is now generally available in Asia Pacific (Osaka), Asia Pacific (Seoul), Europe (Milan), Europe (Spain), and US West (N. California) along with regions where OpenSearch Service direct query is available. Please read pricing and free tier details on Amazon CloudWatch Pricing, and OpenSearch Service Pricing. To get started, please refer to Amazon CloudWatch Logs vended dashboard and Amazon OpenSearch Service Developer Guide.  

Today, AWS announces the general availability of AWS Service Quotas integration with AWS Step Functions, enabling customers to monitor and manage their Step Functions quotas directly from the Service Quotas console. AWS Service Quotas is a service that helps you view and manage your AWS service quotas from a central location.AWS Step Functions is a visual workflow service that helps customers orchestrate AWS services, automate business processes, and build serverless applications. This integration improves service quota visibility and management for AWS Step Functions users.

With this launch, you can now view your AWS Step Functions account-level quota values through the Service Quotas console and monitor quota utilization through Amazon CloudWatch metrics. This enhanced visibility is particularly valuable for customers running high-volume workflow operations at scale, helping them proactively monitor resource usage and avoid potential service disruptions. Additionally, you can now request quota increases directly from the Service Quotas console. For eligible requests, quota changes are automatically updated without manual intervention, streamlining the quota management process.

Service Quotas console integration for AWS Step Functions is available in all commercial AWS Regions and the AWS GovCloud (US) Regions where AWS Step Functions is available.

To learn more about managing AWS Step Functions quotas, visit the AWS Step Functions documentation. You can access this feature through the Service Quotas console or through the CLI.

 

​Today, AWS announces the general availability of AWS Service Quotas integration with AWS Step Functions, enabling customers to monitor and manage their Step Functions quotas directly from the Service Quotas console. AWS Service Quotas is a service that helps you view and manage your AWS service quotas from a central location.AWS Step Functions is a visual workflow service that helps customers orchestrate AWS services, automate business processes, and build serverless applications. This integration improves service quota visibility and management for AWS Step Functions users. With this launch, you can now view your AWS Step Functions account-level quota values through the Service Quotas console and monitor quota utilization through Amazon CloudWatch metrics. This enhanced visibility is particularly valuable for customers running high-volume workflow operations at scale, helping them proactively monitor resource usage and avoid potential service disruptions. Additionally, you can now request quota increases directly from the Service Quotas console. For eligible requests, quota changes are automatically updated without manual intervention, streamlining the quota management process. Service Quotas console integration for AWS Step Functions is available in all commercial AWS Regions and the AWS GovCloud (US) Regions where AWS Step Functions is available. To learn more about managing AWS Step Functions quotas, visit the AWS Step Functions documentation. You can access this feature through the Service Quotas console or through the CLI.  

AWS Transfer Family now supports four new service-specific condition keys for Identity and Access Management (IAM). With this feature, administrators can create more granular IAM policies and service control policies (SCPs) to restrict configurations for Transfer Family resources, enhancing security controls and compliance management. 

IAM condition keys allow you to author policies that enforce access control based on API request context. With these new condition keys, you can now author policies based on Transfer Family context to control which protocols, endpoint types, and storage domains can be configured through policy conditions. For example, you can use transfer:RequestServerEndpointType to prevent the creation of public servers, or transfer:RequestServerProtocols to ensure only SFTP servers can be created, enabling you to define additional permission guardrails for Transfer Family actions. 

The new IAM condition keys are available in all AWS Regions where AWS Transfer Family is available. To learn more, visit the IAM Service Authorization Reference and Transfer Family User Guide. To learn more about how to manage permissions within your organization through SCPs, visit the AWS Organizations User Guide.

 

​AWS Transfer Family now supports four new service-specific condition keys for Identity and Access Management (IAM). With this feature, administrators can create more granular IAM policies and service control policies (SCPs) to restrict configurations for Transfer Family resources, enhancing security controls and compliance management. 
IAM condition keys allow you to author policies that enforce access control based on API request context. With these new condition keys, you can now author policies based on Transfer Family context to control which protocols, endpoint types, and storage domains can be configured through policy conditions. For example, you can use transfer:RequestServerEndpointType to prevent the creation of public servers, or transfer:RequestServerProtocols to ensure only SFTP servers can be created, enabling you to define additional permission guardrails for Transfer Family actions.  The new IAM condition keys are available in all AWS Regions where AWS Transfer Family is available. To learn more, visit the IAM Service Authorization Reference and Transfer Family User Guide. To learn more about how to manage permissions within your organization through SCPs, visit the AWS Organizations User Guide.  

AWS B2B Data Interchange introduces new transformation status reporting in the AWS Console, enabling you to monitor and troubleshoot your Electronic Data Interchange (EDI) files processing in a single simple user interface.

AWS B2B Data Interchange automates validation, transformation, and generation of EDI files such as ANSI X12 documents to and from JSON and XML data formats. With this launch, you can now track and review the status of the most recently performed EDI transformations directly in the AWS Console. For each partnership, AWS B2B Data Interchange now automatically presents information about the transformation status, timelines, and validation results for up to 10,000 most recently processed input-output pairs. This information enables you to easily track the status of your EDI exchanges with trading partners and troubleshoot issues, all in a single interface without needing to manually review log entries.

Support for transformation status reporting is available in all AWS Regions where the AWS B2B Data Interchange service is available. To get started with monitoring your EDI transformations, visit the AWS B2B Data Interchange user guide or take our self-paced workshop.

 

​AWS B2B Data Interchange introduces new transformation status reporting in the AWS Console, enabling you to monitor and troubleshoot your Electronic Data Interchange (EDI) files processing in a single simple user interface. AWS B2B Data Interchange automates validation, transformation, and generation of EDI files such as ANSI X12 documents to and from JSON and XML data formats. With this launch, you can now track and review the status of the most recently performed EDI transformations directly in the AWS Console. For each partnership, AWS B2B Data Interchange now automatically presents information about the transformation status, timelines, and validation results for up to 10,000 most recently processed input-output pairs. This information enables you to easily track the status of your EDI exchanges with trading partners and troubleshoot issues, all in a single interface without needing to manually review log entries. Support for transformation status reporting is available in all AWS Regions where the AWS B2B Data Interchange service is available. To get started with monitoring your EDI transformations, visit the AWS B2B Data Interchange user guide or take our self-paced workshop.  

AWS Transform now offers Terraform as an additional option to generate network infrastructure code automatically from VMware environments. The service converts your source network definitions into reusable Terraform modules, complementing current AWS CloudFormation and AWS Cloud Development Kit (CDK) support.

AWS Transform for VMware is an agentic AI service that automates the discovery, planning, and migration of VMware workloads, accelerating infrastructure modernization with increased speed and confidence. These migrations require recreating network configurations while maintaining operational consistency. The service now generates Terraform modules alongside CDK and AWS CloudFormation templates. This addition enables organizations to maintain existing deployment pipelines while using preferred tools for modular, customizable network configurations.

The Terraform module generation capability is available in all AWS Regions where the service is offered.

To learn more, visit the AWS Transform for VMware product page, read the user guide, or get started in the AWS Transform web experience.

 

​AWS Transform now offers Terraform as an additional option to generate network infrastructure code automatically from VMware environments. The service converts your source network definitions into reusable Terraform modules, complementing current AWS CloudFormation and AWS Cloud Development Kit (CDK) support. AWS Transform for VMware is an agentic AI service that automates the discovery, planning, and migration of VMware workloads, accelerating infrastructure modernization with increased speed and confidence. These migrations require recreating network configurations while maintaining operational consistency. The service now generates Terraform modules alongside CDK and AWS CloudFormation templates. This addition enables organizations to maintain existing deployment pipelines while using preferred tools for modular, customizable network configurations.
The Terraform module generation capability is available in all AWS Regions where the service is offered.
To learn more, visit the AWS Transform for VMware product page, read the user guide, or get started in the AWS Transform web experience.