All Things Distributed

MARCH 23, 2021

Back when S3 launched on March 14, 2006 (also known as “Pi Day” to some), iPhones didn’t exist, neither did tweets or likes, Facebook was still only used by a few colleges and universities, and you couldn’t hail a ride or order lunch with an app. We had to rethink everything previously known about building scalable systems.

Ecommerce 216

Ecommerce Retail Storage Scalability 216

Smashing Magazine

MAY 22, 2020

Inspired Design Decisions With Max Huber: Turning Mundane Subjects Into Exciting Visual Communication. Inspired Design Decisions With Max Huber: Turning Mundane Subjects Into Exciting Visual Communication. Even highly regarded, well-known designers spent time working with mundane subjects and produced iconic work. Andrew Clarke.

Design 91

Design Media Development Energy 91

Percona

JULY 30, 2018

In modern data architectures, we’re increasingly moving from single-node design systems to distributed architectures using multiple nodes – often spread across multiple databases and multiple continents. In this presentation, we will look at how we can use MySQL to engineer distributed multi-node systems.

Architecture 41

Architecture Database Open Source Internet 41

Enprowess

JANUARY 11, 2022

Web apps allow you to break the traditional constraints of the desktop and mobile operating systems and provide freedom to experiment with different varieties of software. Faster and scalable performance as compared to React or Vue. Introduced in 2006, its popularity peaked around 2013-14 and has been on the decline ever since.

Virtualization 64

Virtualization Website Speed Mobile 64

Sutter's Mill

NOVEMBER 30, 2012

I said something similar to the above, but with two important differences: I said hardware “threads,” not only hardware “cores” – it was about the amount of hardware parallelism available on a mainstream system. Longer answer follows: Here’s the main part from article, “Design for Manycore Systems” (August 11, 2009).

Hardware 40

Hardware Programming Scalability Software 40

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). 2006-01-01 ? In a partitioned massively parallel database system, the storage format and sorting algorithm may not be optimized for that operation as we are reading multiple partitions in parallel.

Database 40

Database Analytics Blockchain Healthcare 40

Highly Scalable

MARCH 10, 2015

Most of this article represents an overview of the results published by retailers and researchers who built practical decision making and optimization systems combining abstract economic models with data mining methods. The design of the model heavily depends on the problem. This framework resembles the approach suggested in [JK98].

Retail 152

Retail C++ Analytics Metrics 152