12/12/2025, 12:00:00 AM ~ 12/15/2025, 12:00:00 AM (UTC)
Recent Announcements
AWS DataSync increases scalability and performance for on-premises file transfers
AWS DataSync Enhanced mode now supports data transfers between on-premises file servers and Amazon S3, enabling customers to transfer datasets that scale to virtually unlimited numbers of files at higher levels of performance than DataSync Basic mode.\n AWS DataSync is a secure, high-speed file transfer service that optimizes data movement over a network. Enhanced mode uses parallel processing to deliver higher performance and scalability for datasets of any size, while removing file count limitations and providing detailed transfer metrics for better monitoring and management. Previously, Enhanced mode was available for data transfers between Amazon S3 locations and for multicloud transfers. This launch extends the capabilities of Enhanced mode to support transfers between on-premises NFS or SMB file servers, and Amazon S3. Using Enhanced mode, customers can accelerate generative AI workloads by rapidly moving training datasets to AWS, power data lake analytics by synchronizing on-premises data with cloud-based pipelines, and drive large-scale migrations for archival and cloud modernization. This new capability is available in all AWS Regions where AWS DataSync is offered. To get started, visit the AWS DataSync console. For more information, see the AWS DataSync documentation.
Amazon EMR Managed Scaling is now available in 7 additional AWS regions
We are excited to announce that Amazon EMR Managed Scaling is now available for EMR on EC2 customers in the Asia Pacific (Malaysia, New Zealand, Taipei, Thailand), Canada West (Calgary), Mexico (Central), and US Gameday Northeast (Illinois) AWS Regions. Amazon EMR Managed Scaling automatically resizes the EC2 instances in your EMR cluster for the best performance at the lowest possible cost.\n With Amazon EMR Managed Scaling, you simply specify the minimum and maximum compute limits for your clusters, and Amazon EMR on EC2 automatically resizes your cluster for optimal performance and resource utilization. Amazon EMR Managed Scaling constantly monitors key workload-related metrics and uses an algorithm that optimizes the cluster size for the best resource utilization. Using this algorithm, Amazon EMR can scale the EC2 cluster up during peaks and scale it down during idle periods, reducing your costs and optimizing cluster capacity for the best performance. Amazon EMR Managed Scaling can also be used with Amazon EC2 Spot Instances, that lets you take advantage of unused EC2 capacity for a discount when compared to on-demand prices. Amazon EMR Managed Scaling is now available in all AWS commercial regions. Amazon EMR Managed Scaling is supported for Apache Spark, Apache Hive and YARN-based workloads on Amazon EMR on EC2 versions 6.14 and above. To learn more and to get started, visit the Amazon EMR Managed Scaling user guide.
Validate best practice compliance for SAP ABAP applications with AWS Systems Manager
AWS Systems Manager (AWS SSM) Configuration Manager now allows you to automatically test SAP ABAP based applications on AWS against best practices defined in the AWS Well-Architected Framework SAP Lens.\n Keeping SAP applications optimally configured requires SAP administrators to stay current with best practices from multiple sources including AWS, SAP, and operating system vendors and manually check their configurations to validate adherence. AWS SSM Configuration Manager automatically assesses SAP applications running on AWS against these standards, proactively identifying misconfigurations and recommending specific remediation steps, allowing you to make the necessary changes before potential impacts to business operations. With this launch, configuration checks can be scheduled or run on-demand for SAP HANA and ABAP applications. SSM for SAP Configuration Manager is available in AWS Regions where SSMSAP is available. To learn more, read the launch blog, or refer to the AWS Systems Manager for SAP documentation.
AWS DataSync introduces Terraform support for Enhanced mode
The AWS DataSync Terraform module now supports Enhanced mode for transfers between S3 locations, making it easier for you to set up high-performance data transfers at scale.\n AWS DataSync is a secure, high-speed file transfer service that optimizes data movement over a network. Enhanced mode uses parallel processing to deliver higher performance and scalability for datasets of any size, while removing file count limitations and providing detailed transfer metrics for better monitoring and management. You can now use Terraform to automatically provision DataSync tasks configured for Enhanced mode. This eliminates manual configuration steps that can be time-consuming and error-prone, while giving you a consistent, repeatable, version-controlled deployment process that can scale across your organization. You can access the AWS DataSync Terraform module on GitHub or through the Terraform Registry. To learn more about DataSync, see the AWS DataSync documentation. To see all Regions where DataSync is available, visit the AWS Region table.
Amazon EC2 X2iedn instances now available in AWS Asia Pacific (Thailand) region
Starting today, memory-optimized Amazon Compute Cloud (Amazon EC2) X2iedn instances are available in AWS Asia Pacific (Thailand) region. These instances, powered by 3rd generation Intel Xeon Scalable Processors and built with AWS Nitro System, are designed for memory-intensive workloads. They deliver improvements in performance, price performance, and cost per GiB of memory compared to previous generation X1e instances. These instances are SAP-certified for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, SAP BW/4HANA, and SAP NetWeaver workloads on any database.\n To learn more, visit the EC2 X2i Instances Page, or connect with your AWS Support contacts.
AWS Elastic Beanstalk is now available in additional regions
We are excited to announce the general availability of AWS Elastic Beanstalk in Asia Pacific (New Zealand) (Melbourne), (Malaysia), (Hyderabad), Canada West (Calgary), and Europe (Zurich).\n AWS Elastic Beanstalk is a service that simplifies application deployment and management on AWS. The service automatically handles deployment, capacity provisioning, load balancing, auto-scaling, and application health monitoring, allowing developers to focus on writing code. For a complete list of regions and service offerings, see AWS Regions. To get started on AWS Elastic Beanstalk, see the AWS Elastic Beanstalk Developer Guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
AWS Blogs
AWS Japan Blog (Japanese)
- Introducing Amazon Nova 2 Sonic: A New Speech Transformation Model for Conversational AI
- Introducing Amazon EC2 x8aEDZ instances with 5th generation AMD EPYC processors for memory-intensive workloads
- The new AWS Security Agent proactively protects applications from design to deployment (preview)
- An example of constructing an anomaly detection and analysis system for photovoltaic power generation data using Amazon Bedrock
- New features to optimize costs and improve scalability in Amazon RDS for SQL Server and Amazon RDS for Oracle
- Introducing Amazon Nova 2 Lite, a fast and cost-effective inference model
- The AWS Security Hub, which enables near real-time analysis and risk prioritization, is now open to the public
AWS Open Source Blog
AWS Cloud Operations Blog
AWS Compute Blog
AWS Database Blog
- Configure additional storage volumes with Amazon RDS for SQL Server
- Build and explore Knowledge Graphs faster with Amazon Neptune using Graph.Build and G.V() – Part 2
- Build and explore Knowledge Graphs faster with Amazon Neptune using Graph.Build and G.V() – Part 1
Artificial Intelligence
AWS Security Blog
- Implementing HTTP Strict Transport Security (HSTS) across AWS services
- Meet digital sovereignty needs with AWS Dedicated Local Zones expanded services