12/5/2025, 12:00:00 AM ~ 12/8/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon OpenSearch Service now supports automatic semantic enrichment
Amazon OpenSearch Service now brings automatic semantic enrichment to managed clusters, matching the capability we launched for OpenSearch Serverless earlier this year. This feature allows you to leverage the power of semantic search with minimal configuration effort.\n Traditional lexical search only matches exact phrases, often missing relevant content. Automatic semantic enrichment understands context and meaning, delivering more relevant results. For example, a search for “eco-friendly transportation options” finds matches about “electric vehicles” or “public transportation”—even when these exact terms aren’t present. This new capability handles all semantic processing automatically, eliminating the need to manage machine learning models. It supports both English-only and multi-lingual variants, covering 15 languages including Arabic, French, Hindi, Japanese, Korean, and more. You pay only for actual usage during data ingestion, billed as OpenSearch Compute Unit (OCU) - Semantic Search. View the pricing page for cost details and a pricing example. This feature is now available for Amazon OpenSearch Service domains running OpenSearch version 2.19 or later. Currently, this feature supports non-VPC domains in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm). Get started with our documentation on automatic semantic enrichment.
TwelveLabs’ Pegasus 1.2 model now in 23 new AWS regions via Global cross-region inference
Amazon Bedrock introduces Global cross-Region inference for TwelveLabs’ Pegasus 1.2, expanding model availability to 23 new regions in addition to the seven regions where the model was already available. You can now also access the model in all EU regions in Amazon Bedrock using Geographic cross-Region inference. Geographic cross-Region inference is ideal for workloads with data residency or compliance requirements within a specific geographic boundary, while Global cross-Region inference is recommended for applications that prioritize availability and performance across multiple geographies.\n Pegasus 1.2 is a powerful video-first language model that can generate text based on the visual, audio, and textual content within videos. Specifically designed for long-form video, it excels at video-to-text generation and temporal understanding. With Pegasus 1.2’s availability in these additional regions, you can now build video-intelligence applications closer to your data and end users, reducing latency and simplifying your architecture. For a complete list of supported inference profiles and regions for Pegasus 1.2, refer to the Cross-Region Inference documentation. To get started with Pegasus 1.2, visit the Amazon Bedrock console. To learn more, read the product page and Amazon Bedrock documentation.
SES Mail Manager is now available in 10 additional AWS Regions, 27 total
Amazon SES announces that the SES Mail Manager product is now available in 10 additional commercial AWS Regions. This expands coverage from the current 17 commercial AWS Regions where Mail Manager is launched, meaning that Mail Manager is now offered in all commercial Regions where SES offers its core Outbound service.\n SES Mail Manager allows customers to configure email routing and delivery mechanisms for their domains, and to have a single view of email governance, risk, and compliance solutions for all email workloads. Organizations commonly deploy Mail Manager to replace legacy hosted mail relays or simplify integration with third-party mailbox providers and email security solutions. Mail Manager also supports onward delivery to WorkMail mailboxes, built-in archiving with search and export capabilities, and integration with third-party security add-ons directly within the console. The 10 new Mail Manager Regions include Middle East (Bahrain), Asia Pacific (Jakarta), Africa (Cape Town), Middle East (UAE), Asia Pacific (Hyderabad), Asia Pacific (Malaysia), Europe (Milan), Israel (Tel Aviv), Canada West (Calgary), and Europe (Zurich). The full list of Mail Manager Region availability is here. To learn more, see the Amazon SES Mail Manager product page and the SES Mail Manager documentation. You can start using Mail Manager in these new Regions through the Amazon SES console.
Amazon SES adds VPC support for API endpoints
Today, Amazon Simple Email Service (SES) added support for accessing SES API endpoints through Virtual Private Cloud (VPC) endpoints. Customers use VPC endpoints to enable access to SES APIs for sending emails and managing their SES resource configuration. This release helps customers increase security in their VPCs.\n Previously, customers who ran their workloads in a VPC could access SES APIs by configuring an internet gateway resource in their VPC. This enabled traffic from the VPC to flow into the internet, and reach SES public API endpoints. Now, customers can use the VPC endpoints to access SES APIs without the need for an internet gateway, reducing the chances for activity in the VPC to be exposed to the internet.. SES supports VPC for SES API endpoints in all AWS Regions where SES is available. For more information, see the documentation for information about setting up VPC endpoints with Amazon SES.
Amazon Connect launches WhatsApp channel for Outbound Campaigns
Amazon Connect Outbound Campaigns now supports WhatsApp, expanding on the WhatsApp Business messaging capabilities that already allow customers to contact your agents. You can now engage customers through proactive, automated campaigns on their preferred messaging platform, delivering timely communications such as appointment reminders, payment notifications, order updates, and product recommendations directly through WhatsApp. Setting up WhatsApp campaigns uses the same familiar Amazon Connect interface, where you can define your target audience, choose personalized message templates, schedule delivery times, and apply compliance guardrails, just as you do for SMS, voice, and email campaigns.\n Previously, Outbound Campaigns supported SMS, email, and voice channels, while WhatsApp was available only for customers to initiate conversations with your agents. With WhatsApp support in Outbound Campaigns, you can now proactively reach customers through an additional messaging platform while maintaining a unified campaign management experience. You can personalize WhatsApp messages using real-time customer data, track delivery and engagement metrics, and manage communication frequency and timing to ensure compliance. This expansion provides greater flexibility to connect with customers on their preferred platforms while streamlining your omnichannel outreach strategy. This feature is available in all AWS Regions where Amazon Connect Outbound Campaigns is supported. To learn more, visit the Amazon Connect Outbound Campaigns documentation.
Amazon SageMaker Notebook instance now supports self-service migration, allowing you to update your notebook instance platform identifier through the UpdateNotebookInstance API. This enables you to seamlessly transition from unsupported platform identifiers (notebook-al1-v1, notebook-al2-v1, notebook-al2-v2) to supported versions (notebook-al2-v3, notebook-al2023-v1).\n With the new PlatformIdentifier parameter in the UpdateNotebookInstance API, you can update to newer versions of the Notebook instance platform while preserving your existing data and configurations. The platform identifier determines which Operating System and JupyterLab version combination your notebook instance runs. This self-service capability simplifies the migration process and helps you keep your notebook instances current. This feature is supported through AWS CLI (version 2.31.27 or newer) and SDK, and is available in all AWS Regions where Amazon SageMaker Notebook instances are supported. To learn more, see Update a Notebook Instance in the Amazon SageMaker Developer Guide.
AWS Elastic Beanstalk now supports Node.js 24 on Amazon Linux 2023
AWS Elastic Beanstalk now enables customers to build and deploy Node.js 24 applications on Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to leverage the newest features and improvements in Node.js while taking advantage of the enhanced security and performance of AL2023.\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. Node.js 24 on AL2023 delivers updates to the V8 JavaScript engine, npm 11, and security and performance improvements. Developers can create Elastic Beanstalk environments running Node.js 24 on AL2023 through the Elastic Beanstalk Console, CLI, or API.
This platform is available in all commercial AWS Regions where Elastic Beanstalk is available, including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions.
To learn more about Node.js 24 on Amazon Linux 2023, see the AWS Elastic Beanstalk Developer guide. For additional information, visit the AWS Elastic Beanstalk product page.
Amazon Connect Customer Profiles launches new segmentation capabilities (Beta)
Amazon Connect Customer Profiles now offers new segmentation capabilities powered by Spark SQL (Beta), enabling you to build sophisticated customer segments using your complete Customer Profiles data with AI assistance.\n You can:
Access complete profile data: Use both custom objects and standard objects for segmentation
Leverage SQL capabilities: Join objects, filter with statistical functions like percentiles, and standardize date fields for complex analysis
Build segments with AI assistance: Use natural language prompts with the Segment AI assistant to automatically generate segment definitions in Spark SQL, or write SQL directly
Validate before deployment: Review AI-generated SQL, view natural language explanations, and get automatic segment estimates
For example, you can create segments like “customers who called customer services more than 3 times in the past month about new purchases they made” or “high-value customers in the 90th percentile of lifetime spend” to enable precise targeting for outbound campaigns and personalized customer experiences. These new segmentation capabilities are offered alongside existing segmentation features. Both integrate seamlessly with segment membership calls, Flow blocks, and Outbound Campaigns, allowing you to choose the approach that best fits your use case. Getting started: Enable Data store from the Customer Profiles page to use the new segmentation capabilities Availability: Available in all AWS regions where Amazon Connect Customer Profiles is offered. For more information, see Build customer segments in Amazon Connect in the Amazon Connect Administrator Guide.
Amazon Q now can analyze SES email sending
Today, Amazon Q (Q) added support for analyzing email sending in Amazon Simple Email Service (SES). Now customers can ask Q questions about their SES resource setup and usage patterns, and Q will help them optimize their configuration and troubleshoot deliverability problems. This makes it easier to manage SES operational activities with less technical knowledge.\n Previously, customers could use SES features such as Virtual Deliverability Manager to manage and explore their SES resource configuration and usage. SES provided convenient dashboard views and query tools to help customers find information, however customers needed deep understanding of email sending concepts to interact with the service. Now, customers can ask Q for help in optimizing resource configuration and troubleshooting deliverability challenges. Q will evaluate customer’s usage patterns and SES resource configuration, find the answers customers need, and help them understand the context without requiring pre-knowledge or manual exploration. Q supports SES resource analysis in all AWS Regions where SES and Q are available. For more information, see the Q documentation for information about interacting with SES through Q.
AWS launches simplified enablement of AWS CloudTrail events in Amazon CloudWatch
Today, AWS launches simplified enablement of AWS CloudTrail events in Amazon CloudWatch, a monitoring and logging service that helps you collect, monitor, and analyze log data from your AWS resources and applications. With this launch, you can now centrally configure collection of CloudTrail events in CloudWatch alongside other popular AWS log sources such as Amazon VPC flow logs and Amazon EKS Control Plane Logs. CloudWatch’s ingestion experience provides a consolidated view that simplifies collecting telemetry from different sources for accounts in your AWS Organization thus ensuring comprehensive monitoring and data collection across your AWS environment.\n This new integration leverages service-linked channels (SLCs) to receive events from CloudTrail without requiring trails, and also provides additional benefits such as safety-checks and termination protection. You incur both CloudTrail event delivery charges and CloudWatch Logs ingestion fees based on custom logs pricing. To learn more about enablement of CloudTrail events in CloudWatch and supported AWS regions, visit the Amazon CloudWatch documentation.
AWS Elastic Beanstalk now supports Python 3.14 on Amazon Linux 2023
AWS Elastic Beanstalk now enables customers to build and deploy Python 3.14 applications on Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to leverage the newest features and improvements in Python while taking advantage of the enhanced security and performance of AL2023.\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. Python 3.14 on AL2023 delivers enhanced interactive interpreter capabilities, improved error messages, important security and API improvements. Developers can create Elastic Beanstalk environments running Python 3.14 on AL2023 through the Elastic Beanstalk Console, CLI, or API.
This platform is available in all commercial AWS Regions where Elastic Beanstalk is available, including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions.
To learn more about Python 3.14 on Amazon Linux 2023, see the AWS Elastic Beanstalk Developer guide. For additional information, visit the AWS Elastic Beanstalk product page.
YouTube
AWS Black Belt Online Seminar (Japanese)
AWS Blogs
AWS Japan Blog (Japanese)
- Understanding Amazon Aurora MySQL storage usage
- Development and operation of the horse monitoring system “aiba” realized by Aplizm Co., Ltd. with Amazon SageMaker AI and AWS IoT Core
- Introducing Kiro Powers
- [AWS Black Belt Online Seminar] Information on the release of AWS Re:Invent 2025 bulletin materials and videos
- [Event Notice] Notice of Exhibit at JAPAN BUILD TOKYO Construction DX Exhibition
- Amazon Quick Suite’s embedded chat feature announced