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
mysql search caching architecture
Update 3: Always Refer to Your V1 As a Prototype. You really do have to plan to throw one away. Update 2: Lessons Learned Scaling the Audiogalaxy Search Engine. Things he should have done and fun things he couldn’t justify doing. Update: Design details of Audiogalaxy.com’s high
Product
From their website: FAI is an automated installation tool to install or deploy Debian GNU/Linux and other distributions on a bunch of different hosts or a Cluster. It's more flexible than other tools like kickstart for Red Hat, autoyast and alice for SuSE or Jumpstart for SUN
Product
From their website: DRBD is a block device which is designed to build high availability clusters. This is done by mirroring a whole block device via (a dedicated) network. You could see it as a network raid-1. DRBD takes over the data, writes it to the local disk and sends
Scalability User Group
The first meeting will take place on Wednesday March 26 at 6 p.m. in the IBM Innovation Center (Waltham, MA). The first speaker will be Patrick Peralta of Oracle! Patrick will be presenting: Orchestrating Messaging, Data Grid and Database for Scalable Performance. Important Note: There will be pizza at
CDN
A lot of new internet TV station startups are in the wind these days and there's a question about how they can scale their broadcasts. Today's state of the art shows you can't yet mimic the reach of broadcast TV with internet tech. But
Strategy
Update: VcubeV - an OpenVPN-based solution designed to build and operate a multisourced infrastructure. True high availability requires a presence in multiple data centers. The recent downtime of even a high quality operation like Amazon makes this need all the more clear. Typically only the big boys can afford the
Paul Tyma published a massive and massively good 96 page insider's manual on How to Pass a Silicon Valley Software Engineering Interview. My eyes immediately latched on to one of his key example scenarios, which involves scaling Facebook: Facebook ● What was Facebook day 1? – A database with a
Strategy
One of the most important architectural decisions that must be done early on in a scalable web site project is splitting the data flow into two streams: one that is user specific and one that is generic. If this is done properly, the system will be able to grow easily.
Product
From their website: SystemImager is software that makes the installation of Linux to masses of similar machines relatively easy. It makes software distribution, configuration, and operating system updates easy, and can also be used for content distribution. SystemImager makes it easy to do automated installs (clones), software distribution, content or
Strategy
This is what Mike Peters says he can do: make your site run 10 times faster. His test bed is "half a dozen servers parsing 200,000 pages per hour over 40 IP addresses, 24 hours a day." Before optimization CPU spiked to 90% with 50 concurrent connections.
Here's my template for describing the architecture of a system. The idea is to have people fill out this template and that then becomes the basis for a profile. This is how the Friends for Sale post was created and I think that turned out well. People always