is a fully managed workflow service for application developers. You can think & work at a high level, connecting and coordinating activities in a reliable and repeatable way, while keeping your business logic separate from your workflow logic. After you design and test your workf … | Continue reading
AWS App Mesh is a service mesh that allows you to easily monitor and control communications across microservices applications on AWS. You can use App Mesh with microservices running on Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Container Service for Kubernetes … | Continue reading
Ever since we released Amazon Lex, customers have asked us how to embed voice into a web application. In this blog post, we show how to build a simple web application that uses the AWS SDK for JavaScript to do that. The example application, which users can access from a browser, … | Continue reading
Machine learning (ML) is split in two distinct phases: training and inference. Training deals with building the model, i.e. running a ML algorithm on a dataset in order to identify meaningful patterns. This often requires large amounts of storage and computing power, making the c … | Continue reading
Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications. | Continue reading
The capacity to foresee the future would be an incredible superpower. At AWS, we can’t give you that, but we can help you use machine learning to forecast time series in a few steps. The goal of time series forecasting is to predict future values of time-dependent data such as we … | Continue reading
Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required. | Continue reading
Machine learning definitely offers a wide range of exciting topics to work on, but there’s nothing quite like personalization and recommendation. At first glance, matching users to items that they may like sounds like a simple problem. However, the task of developing an efficient … | Continue reading
Reinforcement Learning is a type of machine learning that works when an “agent” is allowed to act on a trial-and-error basis within an interactive environment, using feedback from those actions to learn over time in order to reach a predetermined goal or to maximize some type of … | Continue reading
In the last few years, machine learning (ML) has generated a lot of excitement. Indeed, from medical image analysis to self-driving trucks, the list of complex tasks that ML models can successfully accomplish keeps growing, but what makes these models so smart? In a nutshell, you … | Continue reading
At AWS, our mission is to put machine learning in the hands of every developer. That’s why in 2017 we launched . Since then it has become one of the fastest growing services in AWS history, used by thousands of customers globally. Customers using Amazon SageMaker can use optimize … | Continue reading
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 … | Continue reading
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 … | Continue reading
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 A … | Continue reading
Amazon Timestream is a fast, scalable, fully managed time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day at 1/10th the cost of relational databases. | Continue reading
AWS Lake Formation is a service that lets you build, secure, and manage your data lake on AWS, reducing the set up time from months to days. | Continue reading
AWS Security Hub for Amazon Web Services (AWS) | Continue reading
AWS Control Tower provides you with a single location to set up a well-architected multi-account environment to govern your AWS workloads with rules for security, operations, and compliance. Sign up for our preview today! | Continue reading
Home page for Amazon FSx, an AWS service that provides fully managed third party file systems for cloud file storage. | Continue reading
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 … | Continue reading
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 Contr … | Continue reading
Customers are using 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 it … | Continue reading
In November 2017, we launched AWS Amplify, initially an open-source JavaScript library that makes it easier to develop cloud-connected mobile and web apps—and AWS AppSync, for creating a real-time and offline-capable data-layer API for your mobile and web apps. In the last 12 mon … | Continue reading
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. … | Continue reading
Did you know that there are currently thousands of satellites orbiting the Earth? I certainly did not, and would have guessed a few hundred at most. Today, high school and college students design, fabricate, and launch nano-, pico-, and even femto-satellites such as CubeSats, Poc … | Continue reading
Over the years, customers have used for lots of different use cases, from building microservices and mobile backends to implementing gaming and Internet of Things (IoT) solutions. For example, Capital One uses to reduce the latency of their mobile applications by moving their mai … | Continue reading
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 chil … | Continue reading
On the eve of re:Invent 2018, I’m pleased to announce that AWS is launching our first conference dedicated to cloud security: AWS re:Inforce. The event will offer a deep dive into the latest approaches to security best practices and risk management utilizing AWS services, feature … | Continue reading
We are excited to announce Amazon Comprehend Medical, a new HIPAA-eligible machine learning service that allows developers to process unstructured medical text and identify information such as patient diagnosis, treatments, dosages, symptoms and signs, and more. Comprehend Medica … | Continue reading
Did you know that there are currently thousands of satellites orbiting the Earth? I certainly did not, and would have guessed a few hundred at most. Today, high school and college students design, fabricate, and launch nano-, pico-, and even femto-satellites such as CubeSats, Poc … | Continue reading
New Challenges for Virtualization Today, our customers can use serverless computing to build applications without worrying about provisioning or managing infrastructure. Developers can package their code as serverless containers with AWS Fargate or serverless functions with AWS L … | Continue reading
Today we are excited to announce the availability of Dynamic Training (DT) for deep learning models, or DT for short. DT allows deep learning practitioners to reduce model training cost and time by leveraging the cloud’s elasticity and economies of scale. Our first reference impl … | Continue reading
AWS IoT SiteWise makes it easy to collect, structure, and search IoT data from industrial equipment at scale. | Continue reading
Learn how to collect, process, and analyze streaming data with Apache Kafka on AWS. Get started with Kafka on AWS here. | Continue reading
New Challenges for Virtualization Today, our customers can use serverless computing to build applications without worrying about provisioning or managing infrastructure. Developers can package their code as serverless containers with AWS Fargate or serverless functions with AWS L … | Continue reading
I have wanted to build a robot for decades and now I have my chance! To me, the big challenge has always been the sheer number of different parts that need to connect and interoperate. Complex hardware, software, sensors, communication systems, and a “robot brain” must all work t … | Continue reading
You can use the AWS Key Management Service (KMS) custom key store feature to gain more control over your KMS keys. The KMS custom key store integrates KMS with AWS CloudHSM to help satisfy compliance obligations that would otherwise require the use of on-premises hardware securit … | Continue reading
One of my favorite Amazon Leadership Principles is Customer Obsession. When we launched , we focused on giving developers a secure experience so that they could avoid managing infrastructure. In order to attain the desired level of isolation we used dedicated EC2 instances for ea … | Continue reading