Starting today, the AWS Command Line Interface (AWS CLI) and Python SDK automatically use the AWS Common Runtime (CRT) to accelerate data transfer between Amazon S3 and Amazon EC2 Trn1, P4d, and P5 instances. The AWS CRT implements Amazon S3’s performance best practices for request parallelization, automatic retry, DNS load balancing, and more to deliver high data transfer rates between Amazon EC2 and Amazon S3. As a result, machine learning training jobs now download training data from Amazon S3 up to 3x faster and upload model checkpoints to Amazon S3 up to 5x faster, which accelerates total training times.

AWS Mainframe Modernization is now available with NTT DATA UniKix technology for replatforming and running mainframe applications on the AWS Cloud. The new capability broadens the replatform provider choices available to customers for mainframe application modernization.

Today, Amazon Web Services Inc. (AWS) announces new metadata enrichment for findings aggregated in AWS Security Hub that allow you to better contextualize, prioritize, and take action on your security findings. This enrichment adds resource tags, a new AWS application tag, and account name information to every finding ingested into Security Hub, including findings from AWS security services such as Amazon GuardDuty, Amazon Inspector, and AWS IAM Access Analyzer, as well as a large and growing list of AWS Partner Network (APN) solutions.

Amazon Simple Queue Service (SQS) announces an increased quota for a high throughput mode for FIFO queues, allowing you to process up to 70,000 transactions per second per API action in US East (N. Virginia), US West (Oregon), and Europe (Ireland) regions. Amazon SQS is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. Amazon SQS offers two types of queues, standard and FIFO . FIFO queues process messages only once, in the exact order that they are sent. Now, customers using high throughput mode FIFO queues can send and receive messages at a higher rate.

Virtual SPARC environments are now available on the AWS Cloud. With this new capability, customers can migrate and rehost applications running on legacy SPARC systems. The lift-and-shift migration of applications from SPARC machines to virtual SPARC-compatible execution environments on the AWS Cloud enables sunsetting of legacy hardware without any change to the applications, and with minimal recertification or retraining. Once on the AWS Cloud, the applications can benefit from elastic on-demand resources with flexible pay-as-you-go pricing. Such rehosting of applications on virtual SPARC environments can help accelerate modernization timelines, reduce operating costs, and improve resilience.

AWS AppSync is a fully managed service that allows customers to connect applications to data and events. With AppSync GraphQL APIs, customers can create an API that connects to multiple data sources like microservice APIs, relational databases, and NoSQL databases. Applications can then retrieve data from different sources with a single efficient request.

As the chip shortages ease, one of my more profitable little enterprises is folding up – selling counterfeit parts, Ed confides to his diary. During the chip famine some of …

The post Ed The Counterfeiter appeared first on Electronics Weekly .

AWS Config introduces a new natural language querying feature powered by generative AI, which simplifies the investigation and search of AWS resource configurations and compliance metadata. Now, you can ask questions in plain language such as “display all EC2 instances with the security group sg-ef678hk” or “show me all non-compliant S3 buckets in my organization.” AWS Config will generate the equivalent advanced query written in SQL syntax, which customers can then run as-is, or fine-tune for even more granularity.

Amazon EFS now supports up to 250,000 read IOPS and up to 50,000 write IOPS per file system, making it easier to power IOPS-intensive file workloads on AWS.

Amazon CloudWatch announces (in preview) natural language query generation powered by generative AI for Logs Insights and Metrics Insights. This feature enables you to easily and quickly generate queries in context of your logs and metrics data using plain language. By simplifying the query generation process, you can accelerate insights from your observability data without needing extensive knowledge of the query language.