All Things Distributed

MARCH 11, 2015

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

JUNE 5, 2020

All this can be done centrally from your Dynatrace cluster, regardless if you’re monitoring physical hosts, AWS EC2 server instances, services running in Kubernetes Pods, virtual machines under VMware, or any supported operating system or technology that can be monitored using Dynatrace. A few customer use cases.

Speed 132

Speed Retail Virtualization Monitoring 132

All Things Distributed

SEPTEMBER 6, 2013

This spring I travelled through Europe for the AWS Global Summit series. Europe is a continent with much diversity and for each country there are great AWS customer examples to tell. To reach those goals, Shell in 2010 began using AWS. Shell leverages AWS for big data analytics to help achieve these goals.

Cloud 129

Cloud Energy AWS Healthcare 129

KeyCDN

MARCH 14, 2019

Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. Serverless Applications Managing your own server is so 2018.

Development 101

Development Blockchain Serverless Social Media 101

All Things Distributed

NOVEMBER 8, 2012

For example, AWS customers use SQS for asynchronous communication pipelines, buffer queues for databases, asynchronous work queues, and moving latency out of highly responsive requests paths. Similarly, AWS customers have been using SQS in interesting ways.

Efficiency 104

Efficiency Cloud Games Scalability 104

All Things Distributed

DECEMBER 13, 2016

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

High Scalability

AUGUST 3, 2018

David Rosenthal : The margins on AWS, averaging 24.75% over the last twelve quarters, are what enables Amazon to run the US retail business averaging under 3% margin and the international business averaging -3.7% It’s not technological excellence. margin over the same period. It’s a dirty word. It’s prosaic.

Internet 113

Internet Internet Scalability Blockchain 113

O'Reilly

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. Amazon and AWS Ascendant. This may be a source of bias.

Cloud 141

Cloud Serverless AWS Architecture 141

All Things Distributed

OCTOBER 2, 2017

The Dynamo paper was well-received and served as a catalyst to create the category of distributed database technologies commonly known today as "NoSQL." " Of course, no technology change happens in isolation, and at the same time NoSQL was evolving, so was cloud computing. million requests per second.

Internet 128

Internet Internet AWS Performance 128

All Things Distributed

AUGUST 20, 2015

In supply chain management, connections between airports, warehouses, and retail aisles are critical for cost and time optimization. Like many AWS innovations, the desire to build a solution for a scalable graph database came from Amazon’s retail business. Graph databases at Amazon. Bringing it all together.

Database 134

Database Logistics Availability Social Media 134

All Things Distributed

NOVEMBER 30, 2016

We also have a great deal of machine learning technology that can benefit machine scientists and developers working outside Amazon. Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165