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AUTOMATONを模した無断ミラーサイトについて
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AWS re:Post – A Reimagined Q&A Experience for the AWS Community

The internet is an excellent resource for well-intentioned guidance and answers. However, it can sometimes be hard to tell if what you’re reading is, in fact, advice you should follow. Also, some users have a preference toward using a single, trusted online community rather than the open internet to provide them with reliable, vetted, and […]

New – Sustainability Pillar for AWS Well-Architected Framework

The AWS Well-Architected Framework has been helping AWS customers improve their cloud architectures since 2015. The framework consists of design principles, questions, and best practices across multiple pillars: Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization. Today we are introducing a new Sustainability Pillar to help organizations learn, measure, and improve their workloads using […]

Announcing General Availability of Construct Hub and AWS Cloud Development Kit Version 2

Today, I’m happy to announce that both the Construct Hub and AWS Cloud Development Kit (AWS CDK) version 2 are now generally available (GA). The AWS CDK is an open-source framework that simplifies working with cloud resources using familiar programming languages: C#, TypeScript, Java, Python, and Go (in developer preview). Within their applications, developers create […]

Use New Amazon EC2 M1 Mac Instances to Build & Test Apps for iPhone, iPad, Mac, Apple Watch, and Apple TV

Last year at AWS re:Invent, Jeff Barr wrote about the exciting availability of Amazon Elastic Compute Cloud (Amazon EC2) Mac instances. Today, we’re announcing the preview of a new EC2 M1 Mac instance. The introduction of EC2 Mac instances brought the flexibility, scalability, and cost benefits of AWS to all Apple developers. EC2 Mac instances […]

New – Enhanced Dead-letter Queue Management Experience for Amazon SQS Standard Queues

Hundreds of thousands of customers use Amazon Simple Queue Service (SQS) to build message-based applications to decouple and scale microservices, distributed systems, and serverless apps. When a message cannot be successfully processed by the queue consumer, you can configure SQS to store it in a dead-letter queue (DLQ). As a software developer or architect, you’d […]

New AWS Scholarship Program Helps Underrepresented and Underserved Students Prep for Careers in AI and ML

As a woman working in information technology (IT) for many years, it has always been close to my heart to challenge long-standing gender stereotypes and inspire more young learners to consider a career in tech. With artificial intelligence (AI) and machine learning (ML) defining the future of technology, this future also depends on diverse representation. […]

Now in Preview – Amazon SageMaker Studio Lab, a Free Service to Learn and Experiment with ML

Our mission at AWS is to make machine learning (ML) more accessible. Through many conversations over the past years, I learned about barriers that many ML beginners face. Existing ML environments are often too complex for beginners, or too limited to support modern ML experimentation. Beginners want to quickly start learning and not worry about […]

Announcing Amazon SageMaker Inference Recommender

Today, we’re pleased to announce Amazon SageMaker Inference Recommender — a brand-new Amazon SageMaker Studio capability that automates load testing and optimizes model performance across machine learning (ML) instances. Ultimately, it reduces the time it takes to get ML models from development to production and optimizes the costs associated with their operation. Until now, no […]