AWS News Blog

In 1959, Arthur Samuel defined machine learning as a “field of study that gives computers the ability to learn without being explicitly programmed”. However, there is no deus ex machina: the learning process requires an algorithm (“how to learn”) and a training dataset (“what to learn from”). Today, most machine learning tasks use a technique […]

One of the reasons for the recent progress of Artificial Intelligence and Deep Learning is the fantastic computing capabilities of Graphics Processing Units (GPU). About ten years ago, researchers learned how to harness their massive hardware parallelism for Machine Learning and High Performance Computing: curious minds will enjoy the seminal paper (PDF) published in 2009 […]

Just a few years ago, creating a database that could support your business at any scale while providing consistent low latency was a daunting task. That changed for me in 2012 while reading Werner Vogels’ blog post announcing Amazon DynamoDB (it was a few months before I joined AWS). DynamoDB was built on the principles in […]

A pebibyte (PiB – 1,125,899,906,842,624 bytes) is an impressive amount of data, slightly less than half of the estimated memory capacity of a human brain. Data lakes, High-Performance Computing (HPC), and Electronic Design Automation (EDA) applications traditionally work at this scale, as do more recent data-intensive applications such as Machine Learning and media processing. Amazon […]

Organizations that want to run Windows applications on the cloud are commonly looking for network file storage that’s fully compatible with their applications and their Windows environments. For example, enterprises use Active Directory for identification and Windows Access Control Lists for fine-grained control over access to folders and files, and their applications typically rely on […]

Customers are using Amazon Kinesis to collect, process, and analyze real-time streaming data. In this way, they can react quickly to new information from their business, their infrastructure, or their customers. For example, Epic Games ingests more than 1.5 million game events per second for its popular online game, Fortnite. With Amazon Kinesis Data Analytics you can […]

Many AWS services create logs. Off the top of my head there are VPC Flow Logs, Route 53 Logs, Lambda Logs, CloudTrail Logs (for AWS API calls), RDS Logs, IoT Logs, ECS Logs, API Gateway Logs, and S3 Server Access Logs, EC2 Instance Logs (via the CloudWatch Agent), to name a few. The services that […]

Before AWS, I worked at an organization that owned and operated their own sports TV channel that provided content by aggregating tens of venues worth of local sports feeds into one 24 hour TV channel. The infrastructure and logistics of operating a broadcast grade network on this scale were immense, and it always proved difficult […]

March 13, 2020: Post updated to clarify how to use transactions with global tables and the increase in the maximum number of items per transaction from 10 to 25. Over the years, customers have used Amazon DynamoDB for lots of different use cases, from building microservices and mobile backends to implementing gaming and Internet of […]

As the son of a Gastroenterologist and a Dermatologist, I grew up listening to arcane conversations involving a never-ending stream of complex medical terms: human anatomy, surgical procedures, medication names… and their abbreviations. A fascinating experience for a curious child wondering whether his parents were wizards of some sort and what all this gibberish meant. […]