Paper
Although the problem of scaling human genome sequencing is not exactly about building bigger, faster and more reliable websites it is most interesting in terms of scalability. The paper describes a new technology by the startup company Complete Genomics to sequence the full human genome for the fraction of the
Paper
I have introduced pattern languages in my earlier post on The Pattern Bible for Distributed Computing. Achieving highest possible scalability is a complex combination of many factors. This PLoP 2007 paper presents a pattern language that can be used to make a system highly scalable. The Scalability Pattern Language introduced
Scalability
You want to have a scalable website. You want a website which can handle traffic spikes (think if you are getting on Digg, Slahsdot, Reddit, Techcrunch or other very popular websites frontpage). Regular hosting companies (especially shared hosting) can offer only so much. The servers usually get crushed under the
Scalability
Scalability forces us to think differently. What worked on a small scale doesn't always work on a large scale -- and costs are no different. If 90% of our application is free of contention, and only 10% is spent on a shared resources, we will need to grow
Scalability
A lot has been said already about Twitter's scalability issues. Many have given Twitter as an anti-pattern of how not to deal with scalability and have suggested different solutions for scaling it. As Twitter is famously a Ruby-on-Rails deployment, this case has also been used as a weapon
Scalability
Misusing HTTP sessions is probably the number one obstacle to building scalable web sites today. Here are some tips how to consume HTTP sessions responsibly.
Scalability
Recently, Google announced Google App Engine, another announcement in the rapidly growing world of cloud computing. This brings up some very serious questions: 1. If we want to take advantage of one of the clouds, are we doomed to be locked-in for life? 2. Must we re-write our existing applications
Scalability
It is fairly obvious that web site performance can be increased by making the code run faster and optimising the response time. But that only scales up to a point. To really take our web sites to the next level, we need to look at the performance problem from a
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
Scalability
The Exceptional Performance group at Yahoo! has identified 14 best practices for making web pages faster. These best practices have proven to reduce response times of Yahoo! properties by 25-50%. They focus on the front-end, for example, why it's bad to use "@import" for including stylesheets
Scalability
Large scale distributed instant messaging, presence based protocol are a real challenge. With big players adopting the standard, the XMPP (eXtensible Messaging and Presence Protocol) community is facing the need to validate protocol and implementations to even larger scale.
Scalability
GigaSpaces launched OpenSpaces.org, a community web site for developers who wish to utilize and contribute to the open source OpenSpaces development framework. OpenSpaces extends the Spring Framework for enterprise Java development, and leverages the GigaSpaces eXtreme Application Platform (XAP) for data caching, messaging and as the container for application