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[ad_1] Amazon Elastic File System (Amazon EFS) allows EC2 instances, AWS Lambda functions, and containers to share access to a fully-managed file system. First announced in 2015 and generally available in 2016, Amazon EFS delivers low-latency performance for a wide variety of workloads and can scale to thousands of concurrent clients or connections. Since the...

[ad_1] Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts, workloads, and data stored in Amazon Simple Storage Service (Amazon S3). Informed by a multitude of public and AWS-generated data feeds and powered by machine learning, GuardDuty analyzes billions of events in pursuit...

[ad_1] If you are reading this blog, there is a high chance you frequently use the AWS Management Console. I taught AWS classes for years. During classes, students’ first hands-on experience with the AWS Cloud happened on the console, and I bet yours did too. Until today, the home page of the console showed your...

[ad_1] High Performance Computing (HPC) allows scientists and engineers to solve complex, compute-intensive problems such as computational fluid dynamics (CFD), weather forecasting, and genomics. HPC applications typically require instances with high memory bandwidth, a low latency, high bandwidth network interconnect and access to a fast parallel file system. Many customers have turned to AWS to...

[ad_1] Starting today, you can deploy applications that use IPv6 address space on Amazon Elastic Kubernetes Service (EKS). Many of our customers are standardizing Kubernetes as their compute infrastructure platform for cloud and on-premises applications. Amazon EKS makes it easy to deploy containerized workloads. It provides highly available clusters and automates tasks such as patching,...

[ad_1] Today we are announcing Amazon DevOps Guru for RDS, a new capability for Amazon DevOps Guru. It allows developers to easily detect, diagnose, and resolve performance and operational issues in Amazon Aurora. Hundreds of thousands of customers nowadays are using Amazon Aurora because it is highly available, scalable, and durable. But as applications grow...

[ad_1] On October 26, 2021, we launched Amazon RDS Custom for Oracle, a managed database service for applications that require customization of the underlying operating system and database environment. RDS Custom lets you access and customize your database server host and operating system, for example, by applying special patches and changing the database software settings...

[ad_1] Today we are announcing Amazon DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA). A new table class for DynamoDB that reduces storage costs by 60 percent compared to existing DynamoDB Standard tables, and that delivers the same performance, durability, and scaling. Nowadays, many customers are moving their infrequently accessed data between DynamoDB and Amazon Simple Storage Service...

[ad_1] Today, we’re pleased to announce the latest service in the Amazon SageMaker suite that will make labeling datasets easier than ever before. Ground Truth Plus is a turn-key service that uses an expert workforce to deliver high-quality training datasets fast, and reduces costs by up to 40 percent. The Challenges of Machine Learning Model...

[ad_1] Today, we’re very excited to offer three new enhancements to our Amazon SageMaker Studio service. As of now, users of SageMaker Studio can create, terminate, manage, discover, and connect to Amazon EMR clusters running within a single AWS account and in shared accounts across an organization—all directly from SageMaker Studio. Furthermore, SageMaker Studio Notebook...

[ad_1] Today, we’re pleased to announce Amazon SageMaker Training Compiler, a new Amazon SageMaker capability that can accelerate the training of deep learning (DL) models by up to 50%. As DL models grow in complexity, so too does the time it can take to optimize and train them. For example, it can take 25,000 GPU-hours...

[ad_1] 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,...

[ad_1] 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...

[ad_1] 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...

[ad_1] In 2016, we launched AWS Shield, a managed Distributed Denial of Service (DDoS) protection service that safeguards applications running on AWS. AWS Shield provides always-on detection and automatic inline mitigations that minimize application downtime and latency without needing to contact AWS Support. There are two tiers of AWS Shield: Standard and Advanced. All AWS...