5/21/2025, 12:00:00 AM ~ 5/22/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon Aurora Global Database introduces support for up to 10 secondary Region clusters
Amazon Aurora Global Database now supports adding up to 10 secondary Regions to your global cluster, further enhancing scalability and availability for globally distributed applications.\n With Global Database, a single Aurora cluster can span multiple AWS Regions, providing disaster recovery from Region-wide outages and enabling fast local reads for globally distributed applications. This launch increases the number of secondary Regions that can be added to a global cluster from the previously supported limit of up to 5 secondary Regions to up to 10 secondary Regions, providing a larger global footprint for operating your applications See documentation to learn more about Global Database. Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. To get started with Amazon Aurora, take a look at our getting started page.
Amazon Elastic Kubernetes Service (EKS) announces the general availability of EKS Dashboard, a new feature that provides centralized visibility into Kubernetes infrastructure across multiple AWS Regions and accounts. EKS Dashboard provides comprehensive insights into your Kubernetes clusters, enabling operational planning and governance. You can access the Dashboard in EKS console through AWS Organizations’ management and delegated administrator accounts.\n As you expand your Kubernetes footprint to address operational and strategic objectives, such as improving availability, ensuring business continuity, isolating workloads, and scaling infrastructure, the EKS Dashboard provides centralized visibility across your Kubernetes infrastructure. You can now visualize your entire Kubernetes infrastructure without switching between AWS Regions or accounts, gaining aggregated insights into clusters, managed node groups, and EKS add-ons. This includes clusters running specific Kubernetes versions, support status, upcoming end of life auto-upgrades, managed node group AMI versions, EKS add-on versions, and more. This centralized approach supports more effective oversight, auditability, and operational planning for your Kubernetes infrastructure. The EKS Dashboard can be accessed in the us-east-1 AWS Region, aggregating EKS cluster metadata from all commercial AWS Regions. To get started, see the EKS user guide.
Amazon EC2 Mac instances now support configurable System Integrity Protection (SIP) settings
Starting today, customers can now configure System Integrity Protection (SIP) settings on their EC2 Mac instances, providing greater flexibility and control over their development environments. SIP is a critical macOS security feature that helps prevent unauthorized code execution and system-level modifications. This enhancement enables developers to temporarily disable SIP for development and testing purposes, install and validate system extensions and DriverKit drivers, optimize testing performance through selective program management, and maintain security compliance while meeting development requirements.\n The new SIP configuration capability is available across all EC2 Mac instance families, including both Intel (x86) and Apple silicon platforms. Customers can access this feature in all AWS regions where EC2 Mac instances are currently supported. To learn more about this feature, please visit the documentation here and our launch blog here. To learn more about EC2 Mac instances, click here.
AWS DMS introduces Data Resync for improved migration accuracy
AWS Database Migration Service (AWS DMS) now supports Data Resync, a new feature that automatically corrects data inconsistencies identified during validation between source and target databases.\n Data Resync integrates with your existing DMS migration tasks and supports both Full Load and Change Data Capture (CDC) phases. It uses your current task settings—including connection configurations, table mappings, and transformations—to apply corrections automatically, helping ensure accurate and reliable migrations without manual intervention. With Data Resync, AWS DMS can detect and resolve common data issues, such as missing records, duplicate entries, or mismatched values, based on validation results. Data Resync is available starting with AWS DMS replication engine version 3.6.1, and currently supports migration paths from Oracle and SQL Server to PostgreSQL. For detailed information on how Data Resync enhances migration accuracy, please refer to the AWS DMS Technical Documentation.
AWS Cost Anomaly Detection enables advanced alerting through AWS User Notifications
AWS Cost Anomaly Detection now integrates with AWS User Notifications (via Amazon EventBridge), enabling customers to create enhanced alerting capabilities in the AWS User Notifications console. This integration lets customers configure sophisticated alert rules based on service, account, or other cost dimensions to identify and respond to unexpected spending changes faster. Using AWS User Notifications, customers can receive immediate or aggregated alerts through multiple channels including email, AWS Chatbot, and the AWS Console Mobile Application, while maintaining a centralized history of alert notifications.\n This new capability allow customers to customize their cost monitoring by creating alert rules in AWS User Notifications. Now customers can configure rules with higher thresholds for machine learning services that naturally experience cost spikes during training, while setting lower thresholds for stable services like databases where small changes might indicate configuration issues. Customers also benefit from verified contact management, ensuring alerts reach the right teams through validated delivery channels that can be reused across multiple alert configurations. These enhancements are available in all AWS Regions, except the AWS GovCloud (US) Regions and the China Regions. To learn more about setting up alerts in AWS User Notifications and getting started, visit the AWS Cost Anomaly Detection product page and documentation.
AWS Deadline Cloud now supports Foundry Nuke version 16
Starting today, AWS Deadline Cloud will support the latest version of Foundry Nuke, a powerful compositing tool widely used for visual effects and post-production workflows. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design.\n With support for Nuke version 16, you can access the latest improvements for Nuke while leveraging AWS Deadline Cloud’s managed infrastructure for your rendering pipelines, giving you the ability to create high-quality content using cutting-edge compositing features. This new version is now available in all AWS regions where AWS Deadline Cloud is currently offered. To learn more about AWS Deadline Cloud and how to leverage Nuke version 16 in your workflows, visit the AWS Deadline Cloud documentation.
AWS Marketplace Sellers can now receive disbursements for partially paid invoices
AWS Marketplace now supports partial disbursements for AWS Marketplace invoices transacted through the AWS Inc., Europe, Middle East and Africa (EMEA), Australia (AU), and Japan (JP) Marketplace Operators (MPOs), allowing sellers to receive funds as buyers make partial payments on AWS Marketplace invoices. AWS Marketplace now automatically processes partial disbursements based on the invoice amount paid by the buyer, aligned with the seller’s disbursement schedule configured in the AWS Marketplace Management Portal (AMMP). Previously, sellers had to wait for complete invoice payments by buyers before receiving disbursements for invoices.\n Sellers can now access funds faster through disbursement of partial payments without waiting for buyers to pay invoices in full. Enhancements have also been made to AWS Marketplace Seller reporting to provide better visibility into partially disbursed invoices. For more details on the AWS Marketplace Seller reporting experience, visit the billed revenue dashboard and collections and disbursement dashboard guides. Partial disbursements are available to AWS Marketplace sellers who transact through the AWS Inc., EMEA, AU, and JP MPOs. For more information about partial disbursements for AWS Marketplace invoices and updates to seller dashboards, access the partial disbursements documentation.
Amazon RDS now supports easy retrieval of engine lifecycle support dates
Amazon RDS announces a new capability that helps you view engine lifecycle support dates for your databases. This new feature provides a centralized and convenient place to access engine support dates, offering greater control over your database lifecycle management.\n You can view start and end dates for RDS Standard Support and RDS Extended Support for RDS and Aurora major engine versions through the RDS API or AWS CLI. If RDS Extended Support is available for an engine version then both RDS Standard and Extended Support dates are shown. If RDS Extended Support is not available for an engine version, the response includes only RDS Standard Support dates. With this feature you can view lifecycle support dates for RDS MySQL, RDS MariaDB, RDS PostgreSQL, Aurora MySQL, and Aurora PostgreSQL engines. To learn more, visit Amazon RDS User Guide and Amazon Aurora User Guide. Amazon RDS makes it simple to set up, operate, and scale database deployments in the cloud. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. To get started with Amazon Aurora, take a look at our getting started page.
AWS Transfer Family announces ML-KEM quantum-resistant key exchange for SFTP
AWS Transfer Family now supports ML- KEM (FIPS-203), a post-quantum algorithm standardized by the National Institute of Standards and Technology (NIST), for SFTP file transfers. Quantum-resistant public-key exchange helps protect transfers of data files that require long-term confidentiality against “harvest now, decrypt later“ threats. In such scenarios, an adversary may be recording present day traffic for decrypting once cryptanalytically relevant quantum computers become available.\n AWS Transfer Family offers fully managed support for the transfer of files over SFTP, AS2, FTPS, FTP, and web browser-based transfers directly into and out of AWS storage services. With this launch, you can now use post-quantum (PQ) hybrid security policies that combine classical Elliptic Curve Diffie-Hellman with quantum-resistant ML-KEM key exchanges between your AWS Transfer Family SFTP endpoints and clients like OpenSSH, Putty, and JSch that support PQ algorithms. When using a PQ hybrid policy, your Transfer Family SFTP server preserves the standard connection options supported by most clients today, while leveraging the most secure PQ connection options with clients that support quantum-resistant key exchange. ML-KEM quantum-resistant key exchange for SFTP file transfers is supported in all AWS Regions where AWS Transfer Family is available. Older PQ key exchange methods which included ML-KEM’s pre-standardized version (Kyber), introduced in AWS Transfer in 2023, will be removed from existing policies and no longer be included in the new PQ policy. To learn more about using PQ security policies to enable quantum-resistant key exchange, visit our documentation.
AWS Blogs
AWS Japan Blog (Japanese)
AWS Japan Startup Blog (Japanese)
AWS News Blog
- Centralize visibility of Kubernetes clusters across AWS Regions and accounts with EKS Dashboard
- Configure System Integrity Protection (SIP) on Amazon EC2 Mac instances
AWS Cloud Financial Management
AWS Database Blog
AWS DevOps & Developer Productivity Blog
AWS for Industries
- Genentech reimagines insights from unstructured data using generative Artificial Intelligence
- Accelerating Product Engineering with Teamcenter Simulation on AWS
- Stel Life’s Integrated Connected Care Empowers Healthcare Providers
AWS Machine Learning Blog
- Integrate Amazon Bedrock Agents with Slack
- Secure distributed logging in scalable multi-account deployments using Amazon Bedrock and LangChain