Adrian Cockcroft

FEBRUARY 9, 2023

We used this model effectively at Netflix when I was their cloud architect from 2010 through 2013. The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. There are three current underlying reasons for the platform engineering meme today.

Engineering 137

Engineering Serverless Lambda AWS 137

All Things Distributed

SEPTEMBER 6, 2013

To reach those goals, Shell in 2010 began using AWS. When Tom Tom launched the LBS platform they wanted the ability to reach millions of developers all around the world without having them invest a lot of capital upfront in hardware and building expensive data centers so turned to the cloud.

Cloud 129

Cloud Energy AWS Healthcare 129

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. Google goes a step further in offering compute instances with its specialized TPU hardware. Those algorithms packaged with scikit-learn?

Hardware 99

Hardware Storage Big Data Blockchain 99

All Things Distributed

DECEMBER 12, 2018

Vivino was founded in 2010 and now has more than 20 million users worldwide and offices in four countries across three continents. Vivino also uses Auto Scaling to deal with the large seasonal fluctuations in traffic. Telenor Connexion. Telenor Connexion is all-in on AWS. They are primarily using the services for two main platforms.

AWS 124

AWS Cloud Games Serverless 124

Alex Russell

MARCH 6, 2021

Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version. But the hardware future is not evenly distributed, and web workloads aren't heavily parallel. Mind The Gap.

Performance 124

Performance Network Cache Metrics 124