Smashing Magazine

SEPTEMBER 28, 2022

The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish. It essentially describes the lifetime of each file you download to load your page from the network. You can see this by opening your browser and looking in the Networking tab.

Cache 125

Cache Performance Servers Social Media 125

ACM Sigarch

APRIL 26, 2018

With its modular architecture, DLA is scalable, highly configurable, and designed to simplify integration and portability. They use the graph as the basic representation for many AI-related algorithms, including neural network, Bayesian network, Markov Field, and some other emerging methods.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

All Things Distributed

SEPTEMBER 25, 2017

This move is another milestone in our global expansion and mission to bring flexible, scalable, and secure cloud computing infrastructure to organizations around the world. I'm also excited to announce today that we are launching an AWS Edge Network Location in the United Arab Emirates (UAE) in the first quarter of 2018.

Cloud 152

Cloud Education Energy Government 152

Adrian Cockcroft

JUNE 21, 2022

The early days at Sun Cambridge were special, I absorbed a lot about networking and the technical side of the role from my fellow systems engineer Martin Baines, and we were driving all over the region in cool company cars (I had a Citroen BX 16V) selling a really hot product.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Rigor

SEPTEMBER 11, 2019

As a digital nomad, Vitaly travels all over the world giving inspiring talks and leading top-flight workshops at tech conferences. One of the top players in web performance, Ilya is a web performance engineer at Google, co-chair of the W3C Web Performance Working Group , and author of High Performance Browser Networking. Ilya Grigorik.

Performance 89

Performance Education Google Website 89

Dynatrace

AUGUST 5, 2019

For a recent technical workshop I did with one of our strategic cloud partners, I created a deck that aims to answer exactly this question. While most of our cloud & platform partners have their own dependency analysis tooling, most of them focus on basic dependency detection based on network connection analysis between hosts.

Cloud 31

Cloud Traffic Database Network 31

All Things Distributed

NOVEMBER 22, 2016

Among all these popular frameworks, we have concluded that MXNet is the most scalable framework. As Amazon and AWS continue to invest in several technologies powered by deep learning, we will continue to improve all of these frameworks in terms of usability, scalability, and features. Choosing a Deep Learning Framework.

AWS 167

AWS Open Source Scalability Programming 167