Amazon Machine Learning: Use Cases and a Real Example in Python

What is Amazon Machine Learning and how does it work “Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology.” UPDATES: I’ve published a new hands-on lab on Cloud Academy! You can give it a try for free and start practicing with Amazon Machine Learning..

Google Cloud Functions vs. AWS Lambda: Fight for serverless cloud domination begins

A not entirely fair comparison between alpha-release Google Cloud Functions and mature AWS Lambda: My insights into the game-changing future of serverless clouds. Serverless computing lands on Google Cloud: Welcome to Google Cloud Functions Update: The open beta of Google Cloud Functions was launched in March 2017. The comparison table has been updated accordingly. The alpha..

How to minimize content latency with Lambda@Edge

Among the AWS Lambda announcements at the 2016 re:Invent, Werner Vogels introduced Lambda@Edge (in preview) for running Lambda functions at CloudFront locations. It’s part of the larger movement focused on letting you execute your code wherever you want in your AWS architecture. I signed up for the preview, and today, I’d like to share my personal experiment with..

Google Vision vs. Amazon Rekognition: A Vendor-neutral Comparison

Google Cloud Vision and Amazon Rekognition offer a broad spectrum of solutions, some of which are comparable in terms of functional details, quality, performance, and costs. This post is a fact-based comparative analysis on Google Vision vs. Amazon Rekognition and will focus on the technical aspects that differentiate the two services. Quality will be evaluated more..

re:Invent 2016: What’s new about AWS Lambda?

re:Invent news about AWS Lambda: we have already listed most of the AWS updates announced during the first and second keynote in Las Vegas. In this article, I’d like to focus on AWS Lambda. The Serverless landscape will be evolving even faster during the next few months, and AWS is definitely contributing to the Serverless revolution…

AWS re:Invent 2016: The Werner Vogels Keynote

My expectations for Werner Vogels’ keynote today were very high, and I have to admit, I was not disappointed. The keyword for Werner’s presentation was transformation. AWS is transforming the IT industry, not only technology-wise but also structurally. They’ve spent the last 10 years building a broad set of services to choose from, giving us all the..

Amazon Rekognition – Image analysis as a Service

Amazon Rekognition: the new Image Analysis tool powered by Deep Learning Amazon itself has been powered by Machine Learning technologies for almost two decades. AWS started releasing part of that powerful technology as a service, starting from Amazon Machine Learning, two years ago. Just a few weeks ago, AWS announced the new P2 instance types..

AWS re:Invent 2016 keynote

AWS re:Invent 2016 keynote: Andy Jassy announced more than 10 new services in less than 2 hours! The first AWS re:Invent 2016 keynote here at was an endless series of exciting announcements. Andy Jassy kept astonishing the crowd for more than two hours straight. In addition to the nearly 32,000 attendees this year, re:Invent is hosting..

Serverless News announced before AWS re:Invent 2016

Serverless Computing is quickly evolving: Who will be left behind? The 2016 AWS re:Invent will take place in Las Vegas in less than a week. We are all expecting big updates, especially regarding one of the AWS suite’s highest trending and pervasive services: Lambda. In the past few days, AWS announced some interesting updates, and I..