10/31/2025, 12:00:00 AM ~ 11/3/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon GameLift Streams adds AWS Health notifications for aging resources
Amazon GameLift Streams is now integrated with AWS Health and will provide automated notifications about aging stream groups. Customers are sent regular reminders via AWS Health to re-create their stream groups starting as early as the 45th day to the 335th day from the stream group creation date. Stream groups older than 180 days are restricted from adding new applications and automatically expire after the 365th day.\n This feature strengthens our customer’s security posture by helping customers manage the lifecycle of stream groups and prevent the use of outdated resources that might be missing updates. While the customer focuses on their game development, the service helps maintain the health of their resources. AWS Health will send a reminder to the linked account on the 45th day and on the 150th day from the stream group creation day, informing customers that the stream group will be restricted from adding new applications after the 180-day. A last reminder to re-create the stream group will be sent on 335th day informing customers that the stream group will expire on the 365th day. This feature is available in all AWS Regions where Amazon GameLift Streams is offered at no additional cost. Maintenance warnings or the expiration date of a stream group can be viewed on the Stream group details page on the service console, or by using the ExpiresAt field in the GetStreamGroup API response. To learn more about managing your stream groups and configuring notifications, visit the Amazon GameLift documentation on Stream group lifecycle.
Amazon Route 53 Resolver now supports AWS PrivateLink
Amazon Route 53 Resolver now supports AWS PrivateLink. Customers can now access and manage Route 53 Resolver and all the related features (Resolver endpoints, Route 53 Resolver DNS Firewall, Resolver Query Logging, Resolver for AWS Outposts) privately, without going through the public internet. AWS PrivateLink provides private connectivity between VPCs, AWS services, and on-premises applications, securely over the Amazon network. When Route 53 Resolver and its features are accessed via AWS PrivateLink, all operations, such as creating, deleting, editing, and listing, can be handled via the Amazon private network. \n Amazon Route 53 Resolver responds recursively to DNS queries from AWS resources for public records, Amazon VPC-specific DNS names, and Amazon Route 53 private hosted zones, and is available by default in all VPCs. Route 53 Resolver also offers features (Resolver endpoints, Route 53 Resolver DNS Firewall, Resolver Query Logging, Resolver for AWS Outposts) that you can opt-into. You can use Resolver and its features with AWS PrivateLink in regions where Route 53 Resolver and all its associated features are available today, including the AWS GovCloud (US) Regions. For more information about the AWS Regions where Resolver and its features are available, see here. To learn more about Route 53 Resolver and its features, please refer to the service documentation.
Amazon DynamoDB Accelerator now supports AWS PrivateLink
Amazon DynamoDB Accelerator (DAX) now supports AWS PrivateLink, enabling you to securely access DAX management APIs such as CreateCluster, DescribeClusters, and DeleteCluster over private IP addresses within your virtual private cloud (VPC). DAX clusters already run inside your VPC, and all data plane operations like GetItem and Query are handled privately within the VPC. With this launch, you can now perform cluster management operations privately, without connecting to the public regional endpoint.\n With AWS PrivateLink, you can simplify private network connectivity between virtual private clouds (VPCs), DAX, and your on-premises data centers using interface VPC endpoints and private IP addresses. It helps you meet compliance regulations and eliminates the need to use public IP addresses, configure firewall rules, or configure an Internet gateway to access DAX from your on-premises data centers. AWS PrivateLink for DAX is available in all Regions where DAX is available today. For information about DAX Regional availability, see the “Service endpoints” section in Amazon DynamoDB endpoints and quotas. There is an additional cost to use the feature. Please see AWS PrivateLink pricing for more details. To get started with DAX and PrivateLink, see AWS PrivateLink for DAX.
Amazon Aurora DSQL now supports FIPS 140-3 compliant endpoints
Amazon Aurora DSQL now supports Federal Information Processing Standards (FIPS) 140-3 compliant endpoints, helping companies contracting with the US federal governments meet the FIPS security requirement to encrypt sensitive data in supported Regions. With this launch, you can use Aurora DSQL for workloads that require a FIPS 140-3 validated cryptographic module when sending requests over public or VPC endpoints.\n Aurora DSQL is the fastest serverless, distributed SQL database with single- and multi-Region clusters providing active-active high availability and strong consistency. Aurora DSQL enables you to build applications with virtually unlimited scalability, the highest availability, and zero infrastructure management. Aurora DSQL FIPS compliant endpoints are now available in the following regions: US East (N. Virginia), US East (Ohio), and US West (Oregon). To learn more about FIPS 140-3 at AWS, visit FIPS 140-3 Compliance.
New SAP on AWS GROW Region Availability for SAP Cloud ERP
SAP Cloud ERP on AWS (GROW) is now available in the Europe (Frankfurt) region. As a complete offering of solutions, best practices, adoption acceleration services, community and learning, SAP Cloud ERP on AWS helps any size organization adopt cloud enterprise resource planning (ERP) with speed, predictability, and continuous innovation on the world’s most comprehensive and broadly adopted cloud. SAP Cloud ERP on AWS can be implemented in months instead of years compared to traditional on-premises ERP implementations.\n By implementing SAP Cloud ERP on AWS, you can simplify everyday work, grow your business, and secure your success. At the core of SAP Cloud ERP on AWS is SAP S/4HANA Cloud, Public edition a full-featured SaaS ERP suite built on the learnings of SAP’s 50+ years of industry best practices. SAP Cloud ERP on AWS allows your organization to gain end-to-end process visibility and control with integrated systems across HR, procurement, sales, finance, supply chain, and manufacturing. It also includes SAP Business AI-powered processes leveraging AWS to provide data-driven insights and recommendations. Customers can also innovate with generative AI using their SAP data through Amazon Bedrock models in the SAP generative AI hub. SAP Cloud ERP on AWS takes advantage of AWS Graviton processors, which offer up to 60% less energy than comparable cloud instances for the same performance. To learn more about deploying SAP Cloud ERP on AWS explore the SAP on AWS product page.
Amazon Connect now supports scheduling of individual agents
Amazon Connect now supports scheduling of individual agents, giving you more flexibility in scheduling your workforce. For example, when onboarding 100 new agents to a business unit with schedules already published for next two months, you can create schedules for only those new agents and automatically merge them with existing schedules. This eliminates the need for workarounds such as manually copying schedules from existing agents to new agents or regenerating schedules for entire business unit, thus improving manager productivity and operational efficiency.\n This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click here.
AWS Marketplace now offers flexible pricing models, simplified authentication, and streamlined deployment for AI agents and tools. The new capabilities include contract-based and usage-based pricing for Amazon Bedrock AgentCore Runtime containers, and simplified OAuth credential management through Quick Launch for API-based AI agents and tools. Customers can also use supported remote MCP servers procured through AWS Marketplace as MCP targets on AgentCore Gateway, making it easier for them to connect to AI agents and tools from AWS Partners at scale. The improvements reduce deployment complexity while offering pricing models that better align with diverse customer needs.\n For Partners, the new capabilities for AI agents and tools streamline management and provide additional pricing options through AWS Marketplace. Partners can now manage all their AI agents and tools listings from one page in the AWS Marketplace Management Portal, reducing the complexity of managing multiple listings across different interfaces. With usage-based and contract-based pricing options for AgentCore Runtime compatible products, Partners have more flexibility to implement pricing strategies that align with their business models and customers’ needs. Customers can learn more in the buyer guide and start exploring AI agent solutions in AWS Marketplace on the solutions page. For partners interested in implementing the capabilities, visit the seller guide and complete the workshop.
Amazon VPC IPAM automates prefix list updates
Today, AWS announced the ability for Amazon VPC IP Address Manager (IPAM) to automate prefix lists updates with prefix list resolver (PLR). This feature allows network administrators to automatically update prefix lists based on their business logic in IPAM improving their operational posture and reducing overhead.\n Using IPAM PLR, you can define business rules for synchronizing prefix lists with IP address ranges from various resources, such as VPCs, subnets and IPAM pools. These prefix lists can then be referenced in resources such as route tables and security groups across your AWS environment, based on your connectivity requirements. Previously, you had to manually update your prefix lists to add or remove IP address ranges based on changes to your AWS environment. This was operationally complex and error prone. IPAM PLR automates prefix list updates requiring no manual intervention, improving your operational posture. This feature is now available in all AWS Regions where Amazon VPC IPAM is supported, including AWS China Regions, and AWS GovCloud (US) Regions. To learn more about this feature, view the AWS IPAM documentation. For details on pricing, refer to the IPAM tab on the Amazon VPC Pricing Page.
The Model Context Protocol (MCP) Proxy for AWS is now generally available
Today, AWS announces the general availability of the Model Context Protocol (MCP) Proxy for AWS, a client-side proxy that enables MCP clients to connect to remote, AWS-hosted MCP servers using AWS SigV4 authentication. The Proxy supports popular agentic AI development tools like Amazon Q Developer CLI, Kiro, Cursor, and popular agent frameworks like Strands Agents. Customers can connect to remote MCP servers with AWS credentials using the Proxy to automatically handle MCP protocol communications via SigV4. The Proxy also helps customers to connect to MCP servers built on Amazon Bedrock AgentCore Gateway or Runtime using SigV4 authentication.\n This release allows developers and agents to extend development workflows to include AWS service interactions from AWS MCP server tools. For example, you can use AWS MCP servers to work with resources like AWS S3 buckets or Amazon RDS tables through existing MCP servers with SigV4. The MCP Proxy for AWS includes safety controls such as read-only mode to prevent unintended changes, configurable retry logic for reliability, and logging for troubleshooting. Customers can install the Proxy from source, through Python package managers, or by using a container making it simple to configure with their preferred MCP-supported development tool. The MCP Proxy for AWS is open-source and available now. Visit the AWS GitHub repository to view the installation and configuration options and start connecting with remote AWS MCP Servers today.
Amazon RDS extends IPv6 support for publicly accessible databases
Amazon Relational Database Service (RDS) now extends the Internet Protocol Version 6 (IPv6) support to publicly accessible databases, in addition to the existing support for privately accessible databases within a VPC. This allows you to configure dual-stack (IPv4 and IPv6) connectivity for your publicly accessible RDS and Aurora databases.\n IPv6 provides an expanded address space, enabling you to scale your application on AWS beyond the limitations of IPv4 addresses. With IPv6, you can assign easy to manage contiguous IP ranges to micro-services and can get virtually unlimited scale for your applications. Moreover, with support for both IPv4 and IPv6, you can gradually transition applications from IPv4 to IPv6, enabling safer migration. This feature is available in all AWS regions where IPv6 support for privately accessible RDS databases within a VPC is already available. Get started with the AWS CLI or AWS Management Console. To learn more about configuring your environment for IPv6, please refer to the IPv6 User Guide.
Announcing larger instances for Amazon Lightsail
Amazon Lightsail now offers three larger instance bundles with up to 64 vCPUs and 256 GB memory. The new instance bundles are available with Linux operating system (OS) and application blueprints, for both IPv6-only and dual-stack networking types. You can create instances using the new bundles with pre-configured Linux OS and application blueprints including WordPress, cPanel & WHM, Plesk, Drupal, Magento, MEAN, LAMP, Node.js, Amazon Linux, Ubuntu, CentOS, Debian, AlmaLinux, and Windows.\n The new larger instance bundles enable you to scale your web applications and run more compute and memory intensive workloads in Lightsail. These higher performance instance bundles are ideal for general purpose workloads that require ability to handle large spikes in load. Using this new bundle, you can run web and application servers, large databases, virtual desktops, batch processing, enterprise applications, and more. These new bundles now available in all AWS Regions where Amazon Lightsail is available. For more information on pricing, or to get started with your free account, click here.
AWS Blogs
AWS Japan Blog (Japanese)
- An example of using AWS Generated AI by Yosei Audit Corporation: Under the support of Sapeet Co., Ltd., we built a generative AI application using Dify, and achieved an 87% reduction in client information collection/environmental analysis investigation time in a secure environment that can handle sensitive information
- AWS Financial Reference Architecture Japan 2025 (v1.6) Update
- Event-driven financial modern application implementation released (Financial Reference Architecture Japan 2025)
- Upgrading Amazon Redshift DC2 node types to Amazon Redshift Serverless
AWS Big Data Blog
Artificial Intelligence
- Build reliable AI systems with Automated Reasoning on Amazon Bedrock – Part 1
- Custom Intelligence: Building AI that matches your business DNA
- Clario streamlines clinical trial software configurations using Amazon Bedrock
- Introducing Amazon Bedrock cross-Region inference for Claude Sonnet 4.5 and Haiku 4.5 in Japan and Australia