All Things Distributed

JANUARY 18, 2012

A number of outages at the height of the 2004 holiday shopping season can be traced back to scaling commercial technologies beyond their boundaries. Without this ability, engineers often have to carefully manage caching systems to ensure they can achieve low-latency and predictable performance as their workloads scale.

Scalability 162

Scalability Database Ecommerce Latency 162

The Morning Paper

NOVEMBER 5, 2019

While different systems require different features from a storage backend, two of these features, (1) efficient transactions and (2) fast metadata operations appear to be common; another emerging requirement is (3) support for novel, backward-incompatible storage hardware. Implementing transactions efficiently.

Storage 64

Storage Systems Hardware Efficiency 64

Smashing Magazine

AUGUST 20, 2021

You could create and update blog posts, all content was straight HTML — open-source WYSIWYG editors weren’t available at the time, and Markdown didn’t come about until 2004. When we talk about static site generators, incremental regeneration, or instant cache invalidation, it’s enough to make the layman’s eyes glaze over.

Ecommerce 142

Ecommerce Website Government Internet 142

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. © ​​ 2004 Microsoft Corporation. ​​ All rights reserved.

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times.

Servers 40

Servers Cache Database Media 40