Example
Several months ago I attended a Joyent presentation where the spokesman hinted that Joyent had the chops to support a one billion page per month Facebook Ruby on Rails application. Even under a few seconds of merciless grilling he would not give up the name of the application. Now we
MySQL
I've been interested in sharding concepts since first hearing the term "shard" a few years back. My interest had been piqued earlier, the first time I read about Google's original approach to distributed search. It was described as a hashtable-like system in which independent
Memcached
The following technical Webinar could be of interest to the community. WHO: * Farhan "Frank" Mashraqi, Director of Business Operations and Technical Strategy, Fotolog Inc * Monty Taylor, Senior Consultant, Sun Microsystems * Jimmy Guerrero, Sr Product Marketing Manager, Sun Microsystems - Database Group WHAT: * Designing and Implementing Scalable Applications with
Product
Update 2: A HSCALE benchmark finds HSCALE "adds a maximum overhead of about 0.24 ms per query (against a partitioned table)." Future releases promise much improved results. Update: A new presentation at An Introduction to HSCALE. After writing Skype Plans for PostgreSQL to Scale to 1 Billion
Example
Update: Jake in Does Django really scale better than Rails? thinks apps like FFS shouldn't need so much hardware to scale. In a short three months Friends for Sale (think Hot-or-Not with a market economy) grew to become a top 10 Facebook application handling 200 gorgeous requests per
MySQL
Website stats: Webserver: Apache 2.2 Database: MySQL 5.0 APC cache for php CMS: Drupal 6.2 (bleeding-edge version)* *Aggressive caching is ON, Page Compression ON, Block Cache ON (can't use CCS),Optimize CSS/JS ON. 2 Servers: Apache/Mysql (low-tech servers - Celeron processors, 512 MB
MySQL
The 2008 MySQL Conference & Expo has now closed, but what is still open for viewing is all the MySQL scaling knowledge that was shared. Planet MySQL is a great source of the goings on: Scaling out MySQL: Hardware today and tomorrow by Jeremy Cole and Eric Bergen of Proven
Memcached
Scalr is a fully redundant, self-curing and self-scaling hosting environment utilizing Amazon's EC2. It has been recently open sourced on Google Code. Scalr allows you to create server farms through a web-based interface using prebuilt AMI's for load balancers (pound or nginx), app servers (apache, others)
Database
This post covers two main options for scaling-out MySql and compare between them. The first is based on data-base clustering and the second is based on In Memory clustering a.k.a Data Grid. A special emphasis is given to a pattern which shows how to scale our existing data
Example
Update 3: 7 Years Of YouTube Scalability Lessons In 30 Minutes and YouTube Strategy: Adding Jitter Isn't A Bug Update 2: YouTube Reaches One Billion Views Per Day. That’s at least 11,574 views per second, 694,444 views per minute, and 41,666,667 views per
General Discussion
So what are we announcing today? That in addition to acquiring MySQL, Sun will be unveiling new global support offerings into the MySQL marketplace. We'll be investing in both the community, and the marketplace - to accelerate the industry's phase change away from proprietary technology to
Example
Shanti Braford details how his Ruby on Rails based website survived a 24 hour 550,000+ pageview digg attack. His post cleanly lays out all the juicy setup details, so there's not much I can add. Hosting costs $370 a month for 1 web server, 1 database server,