4/14/2025, 12:00:00 AM ~ 4/15/2025, 12:00:00 AM (UTC)

Recent Announcements

Amazon EC2 I7ie instances now available in AWS Europe (Ireland) region

Amazon Web Services (AWS) announces the availability of Amazon EC2 I7ie instances in the AWS Europe (Ireland) region. Designed for large storage I/O intensive workloads, these new instances are powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances.\n I7ie instances offer up to 120TB local NVMe storage density—the highest available in the cloud for storage optimized instances—and deliver up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, these instances achieve up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to I3en instances. Additionally, the 16KB torn write prevention feature, enables customers to eliminate performance bottlenecks for database workloads. I7ie instances are high-density storage-optimized instances, for workloads that demand rapid local storage with high random read/write performance and consistently low latency for accessing large data sets. These versatile instances are offered in eleven different sizes including 2 metal sizes, providing flexibility to match customers computational needs. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS), ensuring fast and efficient data transfer for the most demanding applications. To learn more, visit the I7ie instances page.

Amazon EC2 M7i-flex instances now available in AWS Asia Pacific (Melbourne) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7i-flex instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in AWS Asia Pacific (Melbourne) 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 M7i-flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose workloads. They deliver up to 19% better price-performance compared to M6i. M7i-flex instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources such as web and application servers, virtual-desktops, batch-processing, and microservices. In addition, these instances support the new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. For workloads that need larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage M7i instances. To learn more, visit Amazon EC2 M7i-flex instance page.

Amazon Q Developer is now generally available in the AWS Europe (Frankfurt) Region

Amazon Q Developer in the AWS Management Console and Amazon Q Developer in the IDE is now GA in the Europe (Frankfurt) Region.\n Pro tier customers can now use and configure Amazon Q Developer in the AWS Management Console and Amazon Q Developer in the IDE to store data in the Europe (Frankfurt) Region and perform inference in European Union (EU) Regions giving them more choice over where their data resides and transits. Amazon Q Developer Administrators can configure their user settings so that data is stored in Europe (Frankfurt) Region and inference is performed in EU geographies using cross-region inference (CRIS) to reduce latency and optimize availability. If you are requesting to contact AWS Support your data will be processed in the US East (N. Virginia) region. Amazon Q Developer in is generally available, and you can use it in the following AWS Regions: US East (N. Virginia), and Europe (Frankfurt).

Amazon Q Business launches support for hallucination mitigation in chat responses

Today, Amazon Q Business is launching a feature to reduce hallucinations in chat responses. Hallucinations are confident responses made by generative AI applications that are not justified by its underlying data. The new feature enables customers to mitigate hallucinations in real-time during chat conversations.\n Large Language Models (LLMs) underlying generative AI applications have reduced the extent of hallucination in their responses, but it is possible that these models could hallucinate. Hallucination mitigation is therefore needed to generate reliable and trustworthy responses. The Q Business hallucination mitigation feature helps ensure more accurate retrieval augmented generation (RAG) responses from data connected to the application. This data could either come from connected data sources, or from files uploaded during chat. During chat, Q Business evaluates a response for hallucinations. If a hallucination is detected with high confidence, it corrects the inconsistencies in its response real-time during chat and generates a new, edited message. The feature for Amazon Q Business is available in all regions where Q Business is available. Customers can opt into using this feature by enabling it through API or through the Amazon Q console. For more details, refer to the documentation. For more information about Amazon Q Business and its features, please visit the Amazon Q product page.

Amazon SES now supports logging email sending events through AWS CloudTrail

Today, Amazon Simple Email Service (SES) launched support for logging email sending events through AWS CloudTrail. Customers can maintain a record of email send actions performed using the SES APIs, including actions taken by a user, role, or an AWS service in SES.\n Previously, customers could use SES event destinations to route sending event notifications to custom data stores they created and managed themselves. This required custom solutions for data storage and data indexing, including development costs and operational oversight costs. Now, customers can configure event logging to AWS CloudTrail without any custom solution development. Customers can search for events, view the events, and download lists of events for processing in their private workflows. This gives customers a turn-key solution for event history management. SES supports AWS CloudTrail data events for sending events in all AWS Regions where SES is available. For more information, see the documentation on logging sending API calls with AWS CloudTrail.

AWS Lambda@Edge announces advanced logging controls

AWS Lambda@Edge now supports AWS Lambda’s advanced logging controls to improve how function logs are captured, processed, and consumed at the edge. This enhancement provides you with more control over your logging data, making it easier to monitor application behavior and quickly resolve issues.\n The new advanced logging controls for Lambda@Edge give you three flexible ways to manage and analyze your logs. New JSON structured logs make it easier to search, filter, and analyze large volumes of log entries without using custom logging libraries. Log level granularity controls can switch log levels instantly, allowing you to filter for specific types of logs like errors or debug information when investigating issues. Custom CloudWatch log group selection lets you choose which Amazon CloudWatch log group Lambda@Edge sends logs to, making it easier to aggregate and manage logs at scale. To get started, you can specify advanced logging controls for your Lambda functions using Lambda APIs, Lambda console, AWS CLI, AWS Serverless Application Model (SAM), and AWS CloudFormation. To learn more, visit the Lambda Developer Guide, and the CloudFront Developer Guide.

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