1/8/2025, 12:00:00 AM ~ 1/9/2025, 12:00:00 AM (UTC)

Recent Announcements

Announcing the general availability of a new AWS Local Zone in New York City

Today, AWS announces the general availability of a new AWS Local Zone in New York City, supporting a wide range of workloads at the edge. This new Local Zone offers Amazon Elastic Compute Cloud (Amazon EC2) C7i, R7i, M6i, and M6in instances and Amazon Elastic Block Store (Amazon EBS) volume types gp2, gp3, io1, sc1, and st1. You can also access Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Kubernetes Service (Amazon EKS), Application Load Balancer, AWS Direct Connect, and the microsecond-accurate time of Amazon Time Sync in this new Local Zone to support your workloads at the edge.\n Local Zones are an AWS infrastructure deployment that place compute, storage, database, and other select services closer to large population, industry, and IT centers where no AWS Region exists. You can use Local Zones to run applications that require single-digit millisecond latency for use cases such as real-time gaming, hybrid migrations, media and entertainment content creation, live video streaming, engineering simulations, financial services payment processing, capital market operations, and AR/VR.

Local Zones are available in the US in 17 metro areas and globally in an additional 17 metro areas, allowing you to deliver low-latency applications to end users worldwide. For more information about where other Local Zones are available, visit Local Zones locations.

You can enable the new Local Zone in New York City from the Zones tab in the Amazon EC2 console settings or the ModifyAvailabilityZoneGroup API. Check out Local Zones pricing for information on Amazon EC2 instances available as On-Demand Instances, Spot Instances, or part of Savings Plans in the new Local Zone in New York City. To learn more, visit Local Zones.

Amazon EC2 C7i instances now available in the AWS GovCloud (US-West) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in the AWS GovCloud (US-West) Region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.\n C7i instances deliver up to 15% better price-performance versus C6i instances and are a great choice for all compute-intensive workloads, such as batch processing, distributed analytics, ad-serving, and video encoding. C7i instances offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads. C7i instances also support new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. Customers can attach up to 128 EBS volumes to a C7i instance vs. up to 28 EBS volumes to a C6i instance. This allows processing of larger amounts of data, scale workloads, and improved performance over C6i instances. To learn more, visit the EC2 C7i instances Page.

Amazon Connect Contact Lens now provides free trials for conversational analytics and performance evaluations

Amazon Connect Contact Lens now provides free trials for first-time users of conversational analytics and performance evaluations. New conversational analytics for voice customers will receive a free trial with no charge for the first 100,000 voice minutes per month for the first two months. In addition, customers using Contact Lens performance evaluations for the first time will receive a 30-day free trial, that begins the day that they submit their first performance evaluation. The free trials will enable first-time customers to pilot Contact Lens conversational analytics and evaluations in their environment without incurring additional costs.\n With this launch, the new Contact Lens free trial are available in all AWS regions supported by Contact Lens. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.

Amazon MSK Connect APIs now support AWS PrivateLink

Amazon Managed Streaming for Apache Kafka Connect (Amazon MSK Connect) APIs now come with AWS PrivateLink support, allowing you to invoke Amazon MSK Connect APIs from within your Amazon Virtual Private Cloud (VPC) without traversing the public internet.\n By default, all communication between your MSK Clusters and your Amazon MSK Connect connectors is private, and your data never traverses the internet. Similar to AWS PrivateLink support for Amazon MSK APIs, this launch enables clients to invoke MSK Connect APIs via a private endpoint. This allows client applications with strict security requirements to perform MSK Connect specific actions such as creating connectors from new or existing custom plugins, listing and describing connector details, or updating connectors, without the need to communicate over a public connection. AWS PrivateLink support for Amazon MSK Connect is available in all AWS Regions where Amazon MSK Connect is available. To get started, follow the directions provided in the AWS PrivateLink documentation. To learn more about Amazon MSK Connect, visit the Amazon MSK Connect documentation.

AWS announces new AWS Direct Connect location and expansion in Bangkok, Thailand

Today, AWS announced the opening of a new AWS Direct Connect location within the Telehouse Bangkok, Thailand data center. By connecting your network to AWS at the new Bangkok location, you gain private, direct access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones. This site is the second AWS Direct Connect location within Thailand. The new Direct Connect location offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available.\n AWS also announced the addition of 10Gbps and 100Gbps MACsec services in the existing TCC, Bangkok Direct Connect location. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. For more information on the over 145 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

Amazon Q Developer is now available in Amazon SageMaker Code Editor IDE

Amazon SageMaker, a fully managed machine learning service, announces the general availability of Amazon Q Developer in SageMaker Studio Code Editor. SageMaker Studio customers now get generative AI assistance powered by Q Developer right within their Code Editor (Visual Studio Code – Open Source) IDE. With Q Developer, data scientists and ML engineers can access expert guidance on SageMaker features, code generation, and troubleshooting. This allows for more productivity by eliminating the need for tedious online searches and documentation review, and ensuring more time delivering differentiated business value.\n Data scientists and ML engineers using Code Editor in SageMaker Studio can kick off their model development lifecycle with Amazon Q Developer. They can use the chat capability to discover and learn how to leverage SageMaker features for their use case without having to sift through extensive documentation. As well, users can generate code tailored to their needs and jump-start the development process. Further, they can use Q Developer to get in-line code suggestions and conversational assistance to edit, explain, and document their code in Code Editor. Users can also leverage Q Developer to receive step by step guidance for troubleshooting when running into errors. This integration empowers data scientists and ML engineers to accelerate their workflow, enhance productivity, and deliver ML models more efficiently, streamlining the machine learning development process. This feature is available in all commercial AWS regions where SageMaker Studio is available. For additional details, see our product page and documentation.

AWS Blogs

AWS Japan Blog (Japanese)

AWS News Blog

AWS Cloud Operations Blog

AWS for Industries

The Internet of Things on AWS – Official Blog

AWS Machine Learning Blog

AWS for M&E Blog

Networking & Content Delivery

AWS Security Blog

Open Source Project

AWS CLI