3/31/2025, 12:00:00 AM ~ 4/1/2025, 12:00:00 AM (UTC)
Recent Announcements
AWS Transfer Family web apps are now available in AWS GovCloud (US) Regions
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.\n 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 Bedrock Custom Model Import is now available in the Europe (Frankfurt) region
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.\n 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 for more details.
Amazon QuickSight launches scheduling and alerts in embedded dashboards
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 GenerateEmbedUrlForRegisteredUser and\n GenerateEmbedUrlForRegisteredUserWithIdentity API. Registered users viewing embedded QuickSight dashboards can now subscribe to schedules for dashboard email reports and pixel-perfect reports. They can also create schedules to deliver pixel-perfect reports via email. Readers can create up to five schedules per dashboard for themselves. This empowers each user to create the view of pixel perfect report that they are interested in and send them as scheduled reports. User can also view previously generated snapshots when viewing embedded QuickSight dashboards. Application developers can enable scheduling using the GenerateEmbedUrlForRegisteredUser and GenerateEmbedUrlForRegisteredUserWithIdentity API. . Scheduling and Alerts in Embedded Dashboards are now available in all supported Amazon QuickSight regions - see here for QuickSight regional endpoints. For more on how user can use these features, go to our documentation for scheduling and documentation for threshold alerts.
Amazon Q Developer is now generally available in Amazon OpenSearch Service
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. \n 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 efficiently with their data.
Amazon Q Developer in OpenSearch Service is now available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (London), Europe (Paris), and South America (São Paulo).
The Amazon Q Developer in OpenSearch Service features are supported on the new OpenSearch user interface with OpenSearch data sources (version 2.17+). To get started, create an OpenSearch Service application in the AWS Management Console. Learn more at the Amazon OpenSearch Service Developer Guide.
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.\n 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 RDS for PostgreSQL now supports configurable cipher suites
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.\n 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.
AWS Resource Access Manager (RAM) now supports Internet Protocol Version 6 (IPv6)
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.\n 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 with using AWS RAM to share resources, visit the AWS Resource Access Manager Console.
Amazon Connect Contact Lens now supports conversational analytics in 34 new languages
Amazon Connect Contact Lens now supports conversational analytics in 34 new languages including Afrikaans, Arabic (Modern Standard), Bengali, Bosnian, Bulgarian, Chinese (Cantonese), Croatian, Czech, Estonian, Farsi, Galician, Greek, Hebrew, Hungarian, Kannada, Latvian, Lithuanian, Macedonian, Malayalam, Marathi, Romanian, Russian, Serbian, Sinhala, Slovak, Slovenian, Somali, Sundanese, Telugu, Thai, Turkish, Ukrainian, Vietnamese, and Zulu. Additionally, 21 languages that were previously available for post-call analytics are now available for real-time analytics, including Arabic (Gulf), Catalan, Danish, Dutch, English (India), English (Ireland), English (New Zealand), English (Scotland), English (South Africa), English (Wales), Filipino/Tagalog, Finnish, German (Swiss), Hindi, Indonesian, Malay, Norwegian Bokmål, Polish, Portuguese (Portugal), Spain (Spanish) and Swedish.\n Amazon Connect Contact Lens helps you to monitor, measure, and continuously improve contact quality and agent performance for a better overall customer experience. With Contact Lens conversational analytics, you can transcribe customer calls, analyze customer sentiment, discover top contact drivers, help redact sensitive data, and more, all natively within Amazon Connect. With this launch, Contact Lens conversational analytics now supports 67 languages. Conversational analytics support for these new languages is now generally available in US East (N. Virginia), US West (Oregon), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt) and Europe (London). To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.
Amazon EKS introduces a new catalog of community add-ons
Today, Amazon Elastic Kubernetes Service (EKS) announced a new catalog of community add-ons that includes metrics-server, kube-state-metrics, cert-manager, prometheus-node-exporter, and external-dns. This enables you to easily find, select, configure, and manage popular open-source Kubernetes add-ons directly through EKS. Each add-on has been packaged, scanned, and validated for compatibility by EKS, with container images securely hosted in an EKS-owned private Amazon Elastic Container Registry (ECR) repository.\n To make Kubernetes clusters production-ready, you need to integrate various operational tools and add-ons. These add-ons can come from various sources including AWS, AWS Marketplace, and open-source community repositories. Now, EKS makes it easy for you to access a broader selection of add-ons, providing a unified management experience for AWS, AWS Marketplace, and community add-ons. You can view available add-ons, compatible versions, configuration options, and install and manage them directly through the EKS Console, API, CLI, eksctl, or IaC tools like AWS CloudFormation. This feature is available in all AWS Commercial Regions. To learn more visit the EKS documentation.
Amazon Connect Contact Lens now provides AI-powered contact summarization in 2 additional regions
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.\n 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.
AWS adds Multi-Factor Authentication (MFA) for card registration in Japan
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.\n 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 lets you enable or disable sentiment analysis
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.\n 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.
API Gateway launches support for dual-stack (IPv4 and IPv6) endpoints
Amazon API Gateway (APIGW) introduces dual-stack support for all endpoint types, custom domains and APIGW management APIs. You can now configure your REST, HTTP or WebSocket APIs as well as custom domains, to accept calls from IPv6 clients alongside the existing IPv4 support. You can also call APIGW management APIs from dual-stack clients.\n With simultaneous support for both IPv4 and IPv6 clients, you are able to gradually transition from IPv4 to IPv6 environments, without needing to switch all over at once. This enables you to meet IPv6 compliance requirements and avoid IPv4 address constraints. There is no additional charge for this support. This support is now available in all API Gateway commercial and AWS GovCloud (US) Regions. To learn more, see API Gateway developer guide and IPv6 on AWS.
Amazon EC2 R8g instances now available in AWS GovCloud (US-West)
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8g instances are available in AWS GovCloud (US-West) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.\n AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. AWS Graviton4-based R8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 1.5TB) than Graviton3-based R7g instances. These instances are up to 30% faster for web applications, 40% faster for databases, and 45% faster for large Java applications compared to AWS Graviton3-based R7g instances. R8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 R8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.
AWS Glue supports version control and custom transforms in AWS GovCloud (US)
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.\n 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.
Asset level capacity management for AWS Outposts
AWS Outposts now supports self-service capacity management that can be defined specifically for each individual asset. An Outpost asset can be a single server within an Outposts rack or an Outposts server. This makes it easy for customers to customize the allocation of capacity on Outposts at a more granular level. Outposts brings native AWS services, AWS infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility by providing the same services, tools, and partner solutions with Amazon Elastic Compute Cloud (Amazon EC2) on premises. Customers have evolving business requirements and often need to fine-tune their application needs as their businesses scale. Capacity management, now with asset level control, enables viewing and modifying the configuration of EC2 capacity on any Outposts.\n Customers can define the configuration of EC2 instances on each Outposts rack or server when they place an Outposts order. Customers can then utilize capacity management to view these EC2 instances on their Outposts, their configured sizes, and their placement within the Outpost. Customers can also use capacity management to view, plan, and modify their capacity configuration through self-service UI and API. Capacity management is available in all AWS Regions where Outposts are supported. Check out the Outposts rack FAQs page and the Outposts servers FAQs page for the list of supported Regions. To learn more about these new capacity management capabilities for Outposts, read the Outposts user guide. To discuss Outposts for your on-premises workloads with an Outposts specialist, submit this form.
AWS announces new AWS Direct Connect location in Athens, Greece
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.\n 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.
Announcing the Developer Preview for AWS IoT Device SDK for Swift
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.\n 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
Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability.\n 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 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.\n 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 S3 Tables are now available in the AWS Middle East (UAE) Region
Amazon S3 Tables expand availability to the AWS Middle East (UAE) Region, enabling customers to store tabular data at scale.\n 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 Blogs
AWS Japan Blog (Japanese)
- Weekly Generative AI with AWS — 2025/3/24
- Streamline AWS PrivateLink DNS Management with Amazon Route 53 Profiles
- Analyze AWS Transit Gateway Data Processing Charges Using Cost Allocation Tags
AWS News Blog
- Accelerate operational analytics with Amazon Q Developer in Amazon OpenSearch Service
- Amazon API Gateway now supports dual-stack (IPv4 and IPv6) endpoints
- AWS Weekly Roundup: Amazon Bedrock, Amazon QuickSight, AWS Amplify, and more (March 31, 2025)