12/9/2025, 12:00:00 AM ~ 12/10/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon EC2 C8gn instances are now available in additional regions
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8gn instances, powered by the latest-generation AWS Graviton4 processors, are available in the AWS US East (Ohio) and Middle East (UAE) Regions. The new instances provide up to 30% better compute performance than Graviton3-based Amazon EC2 C7gn instances. Amazon EC2 C8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances.\n Take advantage of the enhanced networking capabilities of C8gn to scale performance and throughput, while optimizing the cost of running network-intensive workloads such as network virtual appliances, data analytics, CPU-based artificial intelligence and machine learning (AI/ML) inference. For increased scalability, C8gn instances offer instance sizes up to 48xlarge, up to 384 GiB of memory, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). C8gn instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters. C8gn instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon, N.California), Europe (Frankfurt, Stockholm), Asia Pacific (Singapore, Malaysia, Sydney, Thailand), Middle East (UAE) To learn more, see Amazon C8gn Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
Amazon EC2 X8g instances now available in Europe (Stockholm) region
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8g instances are available in Europe (Stockholm) region. These instances are powered by AWS Graviton4 processors, and they offer up to 3 TiB of total memory and increased memory per vCPU compared to other Graviton4-based instances. X8g instances are ideal for memory-intensive workloads, such as electronic design automation (EDA) workloads, in-memory databases (Redis, Memcached), relational databases (MySQL, PostgreSQL), real-time big data analytics, real-time caching servers, and memory-intensive containerized applications.\n X8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 3TiB) than Graviton2-based X2gd instances. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Elastic Fabric Adapter (EFA) networking support is offered on 24xlarge, 48xlarge, and bare metal sizes, and Elastic Network Adapter (ENA) Express support is available on instance sizes larger than 12xlarge.
X8g instances are currently available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt, Stockholm).
To learn more, see Amazon EC2 X8g Instances. To quickly migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program. To get started, see the AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
AWS Partner Central now includes opportunity deal sizing
Today, AWS announces deal sizing capability in AWS Partner Central. This new feature, available within the APN Customer Engagements (ACE) Opportunities, uses AI to provide deal size estimates and AWS service recommendations. Deal Sizing capability allows Partners to save time on deal management by simplifying the process of estimating AWS monthly recurring revenue (MMR) when creating or updating opportunities.\n Partners can optionally import AWS Pricing Calculator URLs to automatically populate AWS service selections and corresponding spend estimates into their opportunities, reducing the need for manual re-entry. When a Pricing Calculator URL is provided, deal sizing delivers enhanced insights including pricing strategy optimization recommendations, potential cost savings analysis, Migration Acceleration Program (MAP) eligibility indicators, and modernization pathway analysis. These enhanced insights help Partners refine their technical approach and strengthen funding applications, accelerating the funding approval process. Deal sizing is now available in AWS Partner Central worldwide. The feature is accessible through both AWS Partner Central and the AWS Partner Central API for Selling, which is available in the US East (N. Virginia) Region. To get started, log in to AWS Partner Central in the console to create or update opportunities and view deal sizing insights. For API integration with your CRM system, see the AWS Partner Central API Documentation. To learn more about deal sizing, visit the Partner Central Sales Guide.
Amazon RDS and Aurora now support resource tagging for Automated Backups
Amazon RDS and Aurora now support resource tagging for automated backups and cluster automated backups. You can now tag your automated backups separately from the parent DB instance or DB cluster, enabling Attribute-Based Access Control (ABAC) and simplifying resource management and cost tracking.\n With this launch, you can tag automated backups in the same way as other RDS resources using the AWS Management Console, API, or SDK. Use these tags with IAM policies to control access and permissions to automated backups. Additionally, these tags can help you categorize your resources by application, project, department, environment, and more, as well as manage, organize, and track costs of your automated backups. For example, create application specific tags to control permissions for describing, deleting, or restoring automated backups and to organize and track backup costs of the application.
This capability is available in all AWS Regions, including the AWS GovCloud (US) Regions where Aurora and RDS are available.
To learn more about tagging Aurora and RDS automated backups, see the Amazon documentation on Tagging Amazon Aurora resources, Tagging Amazon RDS resources, and Using tags for attribute-based access control.
Amazon GameLift Servers enhances AWS Console for game developers with AI powered assistance
Today, Amazon GameLift Servers is launching AI-powered assistance in the AWS Console, leveraging Amazon Q Developer to provide tailored guidance for game developers. This new feature integrates specialized GameLift Servers knowledge to help customers navigate complex workflows, troubleshoot issues, and optimize their game server deployments more efficiently.\n Developers can now access AI-assisted recommendations for game server integration, fleet configuration, and performance optimization directly within the AWS Console via Amazon GameLift Servers. This enhancement aims to streamline decision making processes, reduce troubleshooting time, and improve overall resource utilization, leading to cost savings and better player experiences. AI-powered assistance is now available in all Amazon GameLift Servers supported regions, except AWS China. To learn more about this new feature, visit the Amazon GameLift Servers documentation.
AWS Blogs
AWS Japan Blog (Japanese)
- Introducing the AWS-generated AI case “Rapid development of an expense reimbursement system using Kiro” by S2I Co., Ltd.
- Regional hospitals are taking on the challenge of in-house production of systems!? 90 days to work more efficiently with generative AI, starting from zero IT knowledge
- Amazon Q Developer implementation example at Meiji Holdings Co., Ltd.: Achieving 80-90% productivity improvement through phased deployment
- Introducing catalog federation for Apache Iceberg tables in AWS Glue Data Catalog
AWS Open Source Blog
AWS Cloud Operations Blog
- Amazon CloudWatch RUM now supports mobile application monitoring
- Prometheus MCP Server: AI-Driven Monitoring Intelligence for AWS Users
AWS Big Data Blog
- Introducing Apache Iceberg materialized views in AWS Glue Data Catalog
- Introducing AWS Glue 5.1 for Apache Spark
AWS Contact Center
AWS for Industries
Artificial Intelligence
- Real-world reasoning: How Amazon Nova Lite 2.0 handles complex customer support scenarios
- Create AI-powered chat assistants for your enterprise with Amazon Quick Suite