aws.amazon.com

You can now create a Transfer Family web app in AWS GovCloud (US) Regions. These Regions are designed to host sensitive data and regulated workloads in the cloud if you have U.S. federal, state, and local government compliance requirements. With this release, you can now create a Transfer Family web app with an option to enable a Federal Information Processing Standards (FIPS) 140-3 compliant endpoint in AWS GovCloud (US) Regions and meet compliance requirements. 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

Beginning today, customers can use Amazon Bedrock Custom Model Import in the Europe (Frankfurt) region to import and use their customized models alongside existing foundation models via a single, unified API. Customers can access their imported custom models in an on-demand, serverless manner without having to manage the underlying instances. They can accelerate generative AI application development by integrating their imported custom models seamlessly with native Bedrock tools and features like Agents, Knowledge Bases, Guardrails, Evaluation, and Prompt Flows. To get started, visit the Amazon Bedrock Custom Model Import page and see the documentation page

Amazon QuickSight launches support for threshold alerts and scheduling in embedded dashboards for registered users. Users viewing embedded QuickSight dashboards can now define data thresholds and receive email notifications when their data exceeds them. They can also view and manage alerts at anytime in embedded dashboard. QuickSight admins can customize how the alerts emails notification appear and behave for account users. QuickSight admins can personalize alert email notifications for account users, tailoring their appearance and behavior. They can customize the sender display name, logo, and footer in the email, as well as specify where the dashboard opens when recipients click on it. Additionally, they can replace the custom email address with a user-friendly name, such as "Sales." Application developers can enable alerts using the

Amazon Q Developer is now generally available in Amazon OpenSearch Service, providing a set of AI-assisted features that expedite operational analytics and investigation processes. This release introduces five key AI-assisted features: visualization generation using natural language, intelligent alert summarization with one-step data exploration, query result summary in the Discover page, recommended anomaly detectors, and a dedicated Amazon Q Developer chat interface for OpenSearch-related questions.  With Amazon Q Developer, teams can transform natural language inputs into visualizations, gain instant insights from alerts and query results, and streamline anomaly detector creation through recommendations. The new Amazon Q Developer chat interface helps users quickly find answers about OpenSearch Service, while the natural language capabilities reduce the time needed to analyze data and create visualizations. With these features, users can work more effi

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

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 Post

AWS Resource Access Manager (AWS RAM) customers can now use Internet Protocol version 6 (IPv6) addresses, via our new dual-stack endpoints to create and manage RAM resource shares in your accounts. The existing RAM endpoints supporting IPv4 will remain available for backwards compatibility. The new dual-stack domains are available either from the internet or from within an Amazon Virtual Private Cloud (VPC) using AWS PrivateLink. To learn more on best practices for configuring IPv6 in your environment, visit the whitepaper on IPv6 in AWS. Support for IPv6 on AWS RAM is available in the AWS Commercial Regions, the AWS GovCloud (US) Regions, and the China Regions. To get started wi

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

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.

Amazon Connect Contact Lens now provides generative AI-powered contact categorization in two additional regions (Europe - Frankfurt and Asia Pacific - Seoul), making it easy to identify top drivers, customer experience, and agent behavior for your contacts. With this launch, you can use natural language instructions to define a criteria to automatically categorize customer contacts (e.g., “show me calls where customers attempted payment”). Contact Lens automatically labels interactions matching your criteria and extracts relevant conversation points. In addition, you can receive alerts and generate tasks on categorized contacts, and search for contacts using the automated labels. This feature helps managers easily categorize contacts for scenarios such as identifying customer interest in specific products, assessing customer satisfaction, monitoring whether agents exhibited professional behavior on calls, and more. This feature is supported in English language and is av