Amazon Comprehend Medical – Natural Language Processing for Healthcare Customers

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


@aws.amazon.com | 5 years ago

Announcing the First AWS Security Conference: AWS Re:Inforce

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


@aws.amazon.com | 5 years ago

Introducing medical language processing with Amazon Comprehend Medical

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


@aws.amazon.com | 5 years ago

AWS Ground Station – Ingest and Process Data from Orbiting Satellites

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


@aws.amazon.com | 5 years ago

AWS MicroVM Firecracker Written in Rust

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


@aws.amazon.com | 5 years ago

Introducing Dynamic Training for Deep Learning with Amazon EC2

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.amazon.com | 5 years ago

New AWS edge and cloud service to get from industrial equipment

AWS IoT SiteWise makes it easy to collect, structure, and search IoT data from industrial equipment at scale. | Continue reading


@aws.amazon.com | 5 years ago

Introducing Elastic Fabric Adapter

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@aws.amazon.com | 5 years ago

AWS Apache Kafka

Learn how to collect, process, and analyze streaming data with Apache Kafka on AWS. Get started with Kafka on AWS here. | Continue reading


@aws.amazon.com | 5 years ago

Amazon Firecracker: Secure and Fast MicroVM for Serverless Computing

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


@aws.amazon.com | 5 years ago

AWS RoboMaker – Develop, Test, Deploy, and Manage Intelligent Robotics Apps

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


@aws.amazon.com | 5 years ago

AWS KMS Custom Keystores (CloudHSM Integration)

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


@aws.amazon.com | 5 years ago

Firecracker – Lightweight Virtualization for Serverless Computing

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


@aws.amazon.com | 5 years ago

AWS Global Accelerator for Availability and Performance

Having previously worked in an area where regulation required us to segregate user data by geography and abide by data sovereignty laws, I can attest to the complexity of running global workloads that need infrastructure deployed in multiple countries. Availability, performance, … | Continue reading


@aws.amazon.com | 5 years ago

Introducing Dynamic Training for Deep Learning with Amazon EC2

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.amazon.com | 5 years ago

New – Use an AWS Transit Gateway to Simplify Your Network Architecture

It is safe to say that is one of the most useful and central features of AWS. Our customers configure their VPCs in a wide variety of ways, and take advantage of numerous connectivity options and gateways including (via Direct Connect Gateways), NAT Gateways, Internet Gateways, E … | Continue reading


@aws.amazon.com | 5 years ago

Use an AWS Transit Gateway to Simplify Your Network Architecture

It is safe to say that is one of the most useful and central features of AWS. Our customers configure their VPCs in a wide variety of ways, and take advantage of numerous connectivity options and gateways including (via Direct Connect Gateways), NAT Gateways, Internet Gateways, E … | Continue reading


@aws.amazon.com | 5 years ago

Firecracker – Lightweight Virtualization for Serverless Computing

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


@aws.amazon.com | 5 years ago

New AWS C5n Instances with 100 Gbps Networking

We launched the powerful, compute-intensive C5 instances last year, and followed up with the C5d instances earlier this year with the addition of local NVMe storage. Both instances are built on the AWS Nitro system and are powered by AWS-custom 3.0 Ghz Intel® Xeon® Platinum 8000 … | Continue reading


@aws.amazon.com | 5 years ago

EC2 Instances (A1) Powered by Arm-Based AWS Graviton Processors

Earlier this year I told you about the AWS Nitro System and promised you that it would allow us to “deliver new instance types more quickly than ever in the months to come.” Since I made that promise we have launched memory-intensive R5 and R5d instances, high frequency z1d insta … | Continue reading


@aws.amazon.com | 5 years ago

AWS Transit Gateway

It is safe to say that is one of the most useful and central features of AWS. Our customers configure their VPCs in a wide variety of ways, and take advantage of numerous connectivity options and gateways including (via Direct Connect Gateways), NAT Gateways, Internet Gateways, E … | Continue reading


@aws.amazon.com | 5 years ago

AWS Amplify Console

Build, deploy, and host modern web apps using frameworks like React, Gatsby, Vue, Angular, Ember, Jekyll, and Hugo. | Continue reading


@aws.amazon.com | 5 years ago

AWS Amplify Console

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@aws.amazon.com | 5 years ago

AWS Amplify Console

Build, deploy, and host modern web apps using frameworks like React, Gatsby, Vue, Angular, Ember, Jekyll, and Hugo. | Continue reading


@aws.amazon.com | 5 years ago

AWS Transfer for SFTP

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@aws.amazon.com | 5 years ago

AWS Transfer for SFTP – Fully Managed SFTP Service for Amazon S3

Many organizations use SFTP (Secure File Transfer Protocol) as part of long-established data processing and partner integration workflows. While it would be easy to dismiss these systems as “legacy,” the reality is that they serve a useful purpose and will continue to do so for q … | Continue reading


@aws.amazon.com | 5 years ago

Scale your Amazon Redshift clusters up and down in minutes

Amazon Redshift is the cloud data warehouse of choice for organizations of all sizes—from fast-growing technology companies such as Turo and Yelp to Fortune 500 companies such as 21st Century Fox and Johnson & Johnson. With quickly expanding use cases, data sizes, and analyst pop … | Continue reading


@aws.amazon.com | 5 years ago

Amazon’s own ‘Machine Learning University’ now available to all developers

Today, I’m excited to share that, for the first time, the same machine learning courses used to train engineers at Amazon are now arevailable to all developers through AWS. We’ve been using machine learning across Amazon for more than 20 years. With thousands of engineers focused … | Continue reading


@aws.amazon.com | 5 years ago

New – Automatic Cost Optimization for Amazon S3 via Intelligent Tiering

has been around for over 12.5 years, stores trillions of objects, and processes millions of requests for them every second. Our customers count on S3 to support their backup & recovery, data archiving, data lake, big data analytics, hybrid cloud storage, cloud-native storage, and … | Continue reading


@aws.amazon.com | 5 years ago

AWS DataSync

Many AWS customers have told us that they need to move large amounts of data into and out of the . Their use cases include: Migration – Some customers have large data sets that are in a constant state of flux. Their is no natural break or stopping point that they can use to effec … | Continue reading


@aws.amazon.com | 5 years ago

AWS RoboMaker – Develop, Test, Deploy, and Manage Intelligent Robotics Apps

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


@aws.amazon.com | 5 years ago

Types of Cloud Computing

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@aws.amazon.com | 6 years ago

Access Your Amazon Aurora Serverless Database with the New Data API (Beta)

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@aws.amazon.com | 6 years ago

Amazon Rekognition updates face detection, analysis and recognition capabilities

Today we are announcing updates to our face detection, analysis, and recognition features. These updates provide customers with improvements in the ability to detect more faces from images, perform higher accuracy face matches, and obtain improved age, gender, and emotion attribu … | Continue reading


@aws.amazon.com | 6 years ago

Building a conversational business intelligence bot with Amazon Lex

Conversational interfaces are transforming the way people interact with software applications and services. They are untethering people from keyboards and smartphone gestures by replacing those interfaces with a more natural style of interaction: the spoken word. Increasingly, pe … | Continue reading


@aws.amazon.com | 6 years ago

AWS Resource Access Manager – Cross-Account Resource Sharing

As I have discussed in the past, our customers use multiple AWS accounts for many different reasons. Some of them use accounts to create administrative and billing boundaries; others use them to control the blast radius around any mistakes that they make. Even though all of this … | Continue reading


@aws.amazon.com | 6 years ago

New Features for Amazon SageMaker: Workflows, Algorithms, and Accreditation

We’ve seen a ton of progress in machine learning during the past 12 months, with customers using Amazon SageMaker – a fully-managed service which has put ML into the hands of tens of thousands of developers and data scientists – to find fraud, predict pitches, and tune engines. W … | Continue reading


@aws.amazon.com | 6 years ago

Access an Aurora Serverless Database via HTTPS API (BETA)

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@aws.amazon.com | 6 years ago

Amazon CloudWatch Introduces Automatic Dashboards

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@aws.amazon.com | 6 years ago

Predictive Scaling for Amazon EC2, Powered by Machine Learning

When I look back on the history of AWS and think about the launches that truly signify the fundamentally dynamic, on-demand nature of the cloud, two stand out in my memory: the launch of Amazon EC2 in 2006 and the concurrent launch of CloudWatch Metrics, Auto Scaling, and Elastic … | Continue reading


@aws.amazon.com | 6 years ago

AWS AppSync Releases Pipeline Resolvers, Aurora Serverless Support, Delta Sync

AWS AppSync, a Serverless GraphQL backend for providing data to mobile and web applications, has been steadily releasing features over the past year since launching at re:Invent 2017. Today, we’re happy to release several new service and client features for AWS AppSync that can g … | Continue reading


@aws.amazon.com | 6 years ago

Introducing Amazon Elasticsearch Service as a Target in AWS DMS

We’re excited to announce the addition of a new target in AWS Database Migration Service (AWS DMS)—Amazon Elasticsearch Service. You can now migrate data to Amazon Elasticsearch Service from all AWS DMS–supported sources. With support for this new target, you can use DMS in your … | Continue reading


@aws.amazon.com | 6 years ago

Use the AWS DMS to Stream Change Data to Kinesis Data Streams

In this post, we discuss how you can use AWS Database Migration Service (AWS DMS) to stream change data into Amazon Kinesis Data Streams. An earlier post, Load CDC Data, discussed real-time data processing architecture. As part of that, it covered how to capture changes in an Ama … | Continue reading


@aws.amazon.com | 6 years ago

Use CloudWatch Metrics to Decide Between GP or Provisioned IOPS for Your RDS DB

In this blog post, I talk about how you can use Amazon CloudWatch metrics to understand when you might benefit from provisioned IOPS, also known as IO1 volumes, for highest performance mission-critical database workloads. I start by setting up a test case that simulates a nonburs … | Continue reading


@aws.amazon.com | 6 years ago

Analyze Live Video at Scale with Amazon Kinesis Video Streams and SageMaker

We are excited to announce the launch of the Amazon Kinesis Video Streams Inference Template (KIT) for Amazon SageMaker. This capability enables customers to attach Kinesis Video streams to Amazon SageMaker endpoints in minutes. This drives real-time inferences without having to … | Continue reading


@aws.amazon.com | 6 years ago

Python 3.7 now a supported Lambda runtime

This post is courtesy of Shivansh Singh, Partner Solutions Architect – AWS We are excited to announce that you can now develop your AWS Lambda functions using the Python 3.7 runtime. Start using this new version today by specifying a runtime parameter value of Python 3.7 when cre … | Continue reading


@aws.amazon.com | 6 years ago

Enhanced Forecasting Now Available in AWS Cost Explorer

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@aws.amazon.com | 6 years ago

Build Your Own Natural Language Models on AWS (no ML Experience Required)

At AWS re:Invent last year we announced Amazon Comprehend, a natural language processing service which extracts key phrases, places, peoples’ names, brands, events, and sentiment from unstructured text. Comprehend – which is powered by sophisticated deep learning models trained b … | Continue reading


@aws.amazon.com | 6 years ago