All Things Distributed

AUGUST 24, 2012

For this purpose I have picked work based on two papers by Jim Gray , the brilliant IBM / Tandem / Microsoft researcher, who won a Turing award for his contributions to data and transaction processing. The papers are from 1987, 1997 and 2007. blog comments powered by Disqus. The first paper is a true classic; in â??The

Storage 108

Storage Hardware AWS Data Engineering 108

Adrian Cockcroft

JUNE 2, 2023

One example is that Netflix launched it’s streaming service in 2007, just at the point when the cost of streaming a movie over the network (which was dropping fast) became less than the cost of shipping a DVD. Final thoughts… this blog post took me a week to finish writing, and it’s already out of date.

Social Media 98

Social Media Innovation Open Source Entertainment 98

Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7

Performance 124

Performance Hardware Tuning Storage 124

Alex Russell

APRIL 29, 2021

Since 2007, support for these features has barely improved. Helps media apps on the web save battery when doing video processing. Coordination APIs allow applications to save memory and processing power (albeit, most often in desktop and tablet form-factors). is access to hardware devices. PWA Install Prompts.

Media 145

Media Games Education Engineering 145

SQL Performance

JULY 16, 2019

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile.

Servers 46

Servers Hardware Architecture Retail 46

High Scalability

NOVEMBER 25, 2019

Your Laptop has a filesystem used by hundreds of processes. It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. On prem data processing. You can find more about these in the For The Techies section at our blog.

Architecture 52

Architecture Cache Azure Storage 52