Amazon S3 Tables expand availability to the AWS Middle East (UAE) Region, enabling customers to store tabular data at scale.

S3 Tables deliver the first cloud object store with built-in Apache Iceberg support. They are specifically optimized for analytics workloads, resulting in up to 3x faster query performance through continual table optimization compared to unmanaged Iceberg tables, and up to 10x higher transactions per second compared to Iceberg tables stored in general purpose S3 buckets.

You can use S3 Tables with AWS analytics services through the integration with Amazon SageMaker Lakehouse, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink. Additionally, S3 Tables perform continual table maintenance to automatically expire old snapshots and related data files to reduce storage cost over time.

S3 Tables are now generally available in fifteen AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page, and documentation.
 

 

​Amazon S3 Tables expand availability to the AWS Middle East (UAE) Region, enabling customers to store tabular data at scale. S3 Tables deliver the first cloud object store with built-in Apache Iceberg support. They are specifically optimized for analytics workloads, resulting in up to 3x faster query performance through continual table optimization compared to unmanaged Iceberg tables, and up to 10x higher transactions per second compared to Iceberg tables stored in general purpose S3 buckets. You can use S3 Tables with AWS analytics services through the integration with Amazon SageMaker Lakehouse, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink. Additionally, S3 Tables perform continual table maintenance to automatically expire old snapshots and related data files to reduce storage cost over time. S3 Tables are now generally available in fifteen AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page, and documentation.    

AWS Glue now offers support for custom visual transforms and version control in the AWS GovCloud (US) Regions. AWS Glue is a serverless data integration service that uses reusable jobs to perform extract, transform, and load (ETL) tasks on data sets of nearly any scale.

With version control, customers can use GitHub and AWS CodeCommit to maintain a history of changes to their AWS Glue jobs and apply their existing DevOps practices to deploy them. Previously, customers needed to set up their own integrations with their code versioning systems and build tooling to move jobs from development environments to production environments. Git integration in AWS Glue works for all AWS Glue job types, whether visual or code-based. Additionally, AWS Glue Studio’s visual editor now supports custom visual transforms, which allow you to create transforms and make them available for use in AWS Glue Studio jobs. Now, data engineers can write reusable transforms for the AWS Glue visual job editor. Reusable transforms increase consistency between teams and help keep jobs up to date by minimizing duplicate effort and code.

This feature is available in all AWS Regions and AWS GovCloud (US) regions where AWS Glue is available.

To learn more about version control, visit our documentation and blog post. To learn more about custom visual transforms, visit our documentation and blog post.
 

 

​AWS Glue now offers support for custom visual transforms and version control in the AWS GovCloud (US) Regions. AWS Glue is a serverless data integration service that uses reusable jobs to perform extract, transform, and load (ETL) tasks on data sets of nearly any scale. With version control, customers can use GitHub and AWS CodeCommit to maintain a history of changes to their AWS Glue jobs and apply their existing DevOps practices to deploy them. Previously, customers needed to set up their own integrations with their code versioning systems and build tooling to move jobs from development environments to production environments. Git integration in AWS Glue works for all AWS Glue job types, whether visual or code-based. Additionally, AWS Glue Studio’s visual editor now supports custom visual transforms, which allow you to create transforms and make them available for use in AWS Glue Studio jobs. Now, data engineers can write reusable transforms for the AWS Glue visual job editor. Reusable transforms increase consistency between teams and help keep jobs up to date by minimizing duplicate effort and code. This feature is available in all AWS Regions and AWS GovCloud (US) regions where AWS Glue is available. To learn more about version control, visit our documentation and blog post. To learn more about custom visual transforms, visit our documentation and blog post.    

Amazon Connect Contact Lens now lets you enable or disable sentiment analysis. This provides organizations with control over sentiment analysis, particularly for those needing to meet compliance obligations, while maintaining access to other Contact Lens conversational analytics capabilities including transcripts, generative AI summaries, and other conversational insights. For example, you may want to enable sentiment analysis to track customer brand perception and disable sentiment analysis for contacts coming to an internal company complaints line.

The feature is available in all regions where Amazon Connect Contact Lens is available. To learn more, please visit our documentation and our webpage. This feature is included within Contact Lens conversational analytics price at no additional cost. For information about Contact Lens pricing, please visit our pricing page.

 

​Amazon Connect Contact Lens now lets you enable or disable sentiment analysis. This provides organizations with control over sentiment analysis, particularly for those needing to meet compliance obligations, while maintaining access to other Contact Lens conversational analytics capabilities including transcripts, generative AI summaries, and other conversational insights. For example, you may want to enable sentiment analysis to track customer brand perception and disable sentiment analysis for contacts coming to an internal company complaints line. The feature is available in all regions where Amazon Connect Contact Lens is available. To learn more, please visit our documentation and our webpage. This feature is included within Contact Lens conversational analytics price at no additional cost. For information about Contact Lens pricing, please visit our pricing page.  

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

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

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

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

 

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

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

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

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

 

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

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

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

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

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

 

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

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

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

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

 

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

Amazon Connect Contact Lens now provides generative AI-powered post-contact summaries in two additional regions, Europe (Frankfurt) and Asia Pacific (Seoul). With this launch, you can summarize long customer conversations into succinct, coherent, and context rich contact summaries (e.g., “The customer didn’t receive a reimbursement for a last minute flight cancellation and the agent didn’t offer a partial reimbursement as per the SOP”). This allows agents to focus on customer interactions by eliminating the need for to take after-call notes manually. Additionally, supervisors get faster insights when reviewing contacts, saving time on quality and compliance reviews, and more quickly identifying opportunities to improve agent performance.

This feature is supported in English language and is available in two additional AWS regions including Europe (Frankfurt) and Asia Pacific (Seoul). To learn more, please visit our documentation and our webpage. This feature is included within Contact Lens conversational analytics price at no additional cost. For information about Contact Lens pricing, please visit our pricing page.
 

 

​Amazon Connect Contact Lens now provides generative AI-powered post-contact summaries in two additional regions, Europe (Frankfurt) and Asia Pacific (Seoul). With this launch, you can summarize long customer conversations into succinct, coherent, and context rich contact summaries (e.g., “The customer didn’t receive a reimbursement for a last minute flight cancellation and the agent didn’t offer a partial reimbursement as per the SOP”). This allows agents to focus on customer interactions by eliminating the need for to take after-call notes manually. Additionally, supervisors get faster insights when reviewing contacts, saving time on quality and compliance reviews, and more quickly identifying opportunities to improve agent performance. This feature is supported in English language and is available in two additional AWS regions including Europe (Frankfurt) and Asia Pacific (Seoul). To learn more, please visit our documentation and our webpage. This feature is included within Contact Lens conversational analytics price at no additional cost. For information about Contact Lens pricing, please visit our pricing page.    

The AWS IoT Device SDK team is introducing the Developer Preview for IoT Device SDK for Swift that enables developers to build Internet of Things (IoT) applications to run on Linux, macOS, iOS, and tvOS platforms. This SDK provides an idiomatic interface for iOS mobile developers to build their applications in the modern Swift language and to connect to AWS IoT services through MQTT protocol.

With the AWS IoT Device SDK for Swift, the developers can now build more sophisticated IoT applications by leveraging the native Swift integration, and the MQTT version 5 advanced features to improve error handling, client load balancing and fault tolerance with Shared Subscription, and customization through User Properties. The SDK provides secure certificate-based authentication and supporting multiple connection methods including X.509 certificates, custom authentication, and MQTT over WebSockets connections.

To get started, see the following list of resources.

• What is AWS IoT
• AWS IoT Swift SDK
• MQTT 5 User Guide

 

​The AWS IoT Device SDK team is introducing the Developer Preview for IoT Device SDK for Swift that enables developers to build Internet of Things (IoT) applications to run on Linux, macOS, iOS, and tvOS platforms. This SDK provides an idiomatic interface for iOS mobile developers to build their applications in the modern Swift language and to connect to AWS IoT services through MQTT protocol.
With the AWS IoT Device SDK for Swift, the developers can now build more sophisticated IoT applications by leveraging the native Swift integration, and the MQTT version 5 advanced features to improve error handling, client load balancing and fault tolerance with Shared Subscription, and customization through User Properties. The SDK provides secure certificate-based authentication and supporting multiple connection methods including X.509 certificates, custom authentication, and MQTT over WebSockets connections.
To get started, see the following list of resources.

What is AWS IoT
AWS IoT Swift SDK
MQTT 5 User Guide  

Today, AWS announced the opening of a new AWS Direct Connect location within the Digital Realty ATH1 data center near Athens, Greece. By connecting your network to AWS at the new location, you gain private, direct access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones. This site is the first AWS Direct Connect location within Greece. 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 147 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 ATH1 data center near Athens, Greece. By connecting your network to AWS at the new location, you gain private, direct access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones. This site is the first AWS Direct Connect location within Greece. 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 147 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.