john quinn's blog

We had another couple of great external speakers talking at Digg HQ. The open-source master Doug Cutting stopped by the Digg office to talk about the growth of the Hadoop platform. He talks in detail about Avro. Avro is an RPC and serialization framework that has some interesting differences compared to the popular Thrift framework.

Digg's Andrew Bayer has just written a blog describing how we use Git, Hudson, Selenium, Puppet and Gerrit to manage continuous deployment at Digg.

Andrew describes how we get developer commits to production quickly and safely using a combination of automated packaging and staging, web based code review and automated testing (unit and selenium)

Read the full blog here.

We recently started inviting external speakers to talk at Digg HQ on a variety of Technical subjects. Jack Dorsey the founder of Twitter and Square stopped to talk about the growth of Twitter and the resulting engineering and cultural challenges. He talks about applying the lessons learned there to his latest venture, Square. Fascinating stuff.

We've recently started using Drupal 6 at Digg.com for all our content needs. So far so good. Everything from our jobs page, to our site tour, to the Open Source site we launched three days ago, is managed via Drupal.

Right now we're looking for someone to lead the charge on our internal Drupal development and our contributions back to the project. If you're handy with Drupal and have a passion for open source development, take a look at our latest posting on the jobs page Read more about our use of Drupal on the Digg Blog.

I gave a keynote presentation at Under the Radar's "Commercializing the Cloud" conference, It's about NoSQL and picking distributed database technologies that might help you with the "deluge of data" that the world is experiencing. I've included the presentation below.

André Maurois (1885-1967) wrote that "The effectiveness of work increases according to geometric progression if there are no interruptions." At Digg we struggle between the clear benefits of uninterrupted work and the need to be agile in our communication.

The last six months have been exciting for Digg's engineering team. We're working on a soup-to-nuts rewrite. Not only are we rewriting all our application code, but we're also rolling out a new client and server architecture. And if that doesn't sound like a big enough challenge, we're replacing most of our infrastructure components and moving away from LAMP.

last week, i had the good fortune to attend the san francisco nosql meetup organized by johan oskarsson.

the meetup discussed the limitations of traditional relational database technology at scale and the open-source alternatives currently available with similar functionality to amazon's dynamo google's bigtable.

if you backup your *nix box, eventually you'll get into the business of purging your old backup files to preserve disk space. a reasonable way to do this is to use the find command to identify old backups and delete them. you should, however, consider doing something a little smarter than this.

a while ago i posted some performance benchmarks for drupal running on a variety of servers in amazon's elastic compute cloud.

amazon have just released ebs, the final piece of technology that makes their ec2 platform really viable for running lamp stacks stuck as drupal.

ebs, the "elastic block store", provides sophisticated storage for your database instance, with features including:

• high io throughput
• data replication
• large storage capacity
• hot backups using snapshots
• instance type portability e.g. quickly swapping your database hardware for a bigger machine.

recently i posted a couple of introductory articles on jmeter, a great apache open-source tool that allows you to measure the performance and scalability of a wide variety of services, especially web-applications.

i wrote these articles because although the online documentation provides reasonable reference material, it doesn't serve well as a jmeter introduction or tutorial.

things have changed a bit since then. the uk-based publishing house packt publishing were kind enough to send me a copy of emily halili's newly published book on jmeter, which is as far as i can tell, is the first book dedicated to the subject.

recently i posted some encouraging performance benchmarks for drupal running on a variety of servers in amazon's elastic compute cloud. while the performance was encouraging, the suitability of this environment for running lamp stacks was not. ec2 had some fundamental issues including a lack of static ip addresses and no viable persistent storage mechanism.

amazon are quickly rectifying these problems, and recently announced elasic ip addresses; a "static" ip address that you own and can dynamically point at any of your instances.

today amazon indicated that persistent storage will soon be available.

three weeks ago, zicasso.com launched a drupal-powered free personalized online travel service that aims to connect travelers to a global network of quality, pre-screened travel companies. unlike many internet travel sites which provide cheap fares or packages, zicasso is targeted for busy, discerning travelers who want to plan and book complex trips (the ones with multiple destination stops or activities).

zicasso was favorably reviewed in popular web publications including; pc magazine, techcrunch, ars technica and the san jose business journal.

zicasso chose to build their application using the open-source cms system, drupal to leverage the wide array of web2.0 functionality provided by the open source community.

the application was rapidly constructed by a small development team led by cailin nelson and jenny dickinson. the team took advantage of "core" drupal modules including cck, panels, views, imagecache, workflow and actions.

backups are boring, but we all know how important they are. backups can also be quite powerful when working with xen virtualization, since xen allows for convenient back-up and restore of entire systems.

i've recently been working on a flexible, general-purpose script enabling incremental backups of complete xen guests, optimized for secure, distributed environments; xenBackup. if you're working with xen, you might find it useful.

the xenBackup script leverages open-source components like ssh, rsync, and rdiff-backup to create a simple, efficient and functional solution.

amazon's elastic compute cloud, "ec2", provides a flexible and scalable hosting option for applications. while ec2 is not inherently suited for running application stacks with relational databases such as lamp, it does provide many advantages over traditional hosting solutions.

in this article we get a sense of lamp performance on ec2 by running a series of benchmarks on the drupal cms system. these benchmarks establish read throughput numbers for logged-in and logged-out users, for each of amazon's hardware classes.

we also look at op-code caching, and gauge it's performance benefit in cpu-bound lamp deployments.

i recently posted an introductory article on using jmeter to load test your drupal application. if you've read this article and are curious about how to build a more sophisticated test that mimics realistic load on your site, read on.

the previous article showed you how to set up jmeter and create a basic test. to produce a more realistic test you should simulate "real world" use of your site. this typically involves simulating logged-in and logged-out users browsing and creating content. jmeter has some great functionality to help you do this.

there are many things that you can do to improve your drupal application's scalability, some of which we discussed in the recent scaling drupal - an open-source infrastructure for high-traffic drupal sites article.

when making scalability modifications to your system, it's important to quantify their effect, since some changes may have no effect or even decrease your scalability. the value of advertised scalability techniques often depends greatly on your particular application and network infrastructure, sometimes creating additional complexity with little benefit.

apache jmeter is a great tool to simulate load on your system and measure performance under that load. in this article, i demonstrate how to setup a testing environment, create a simple test and evaluate the results.

a few weeks ago, i wrote a short article about the advantages of using syslog for all your logging needs. syslog is the standard logging solution for *nix platforms and integrates into virtually all application servers, network devices, and programming languages.

it is often important for system administrators to get real time notification of critical events. unfortunately, it isn't immediately obvious how to do this in the syslog framework. in this article i show you step-by-step how to do this.

css has vastly improved the quality of html markup on the web. however, given its complexity, it has some astounding deficiencies.

one of the biggest problems is the lack of constants. how many times have you wanted to code something like this? light_grey = #CCC. instead you are forced to repeat #CCC in your css. this quickly creates difficult-to-maintain and difficult-to-read code.

an elegant solution to the problem is to use a general purpose preprocessor like m4. m4 gives you a full range of preprocessing capability, from simple constants to sophisticated macros.

to guarantee maximum uptime for your site, it's a good idea to periodically check the health of your system and restart failing components. you can use a simple program to do this automatically. i like to call this type of program, a "guardian".

clearly guardians shouldn't be used as a crutch for a badly configured system. used appropriately, however, they can decrease downtime due to unexpected events or administrator-error.

in this article, i describe how to implement, install and configure a guardian using a lightweight bash script. i go on to describe how to watch over your lamp install using this guardian. please note that all code and configurations have been tested on debian etch but should be useful for other *nix flavors with subtle modifications.

if you've ever lost precious data after a hard drive failure, you've probably learned your lesson and are now automatically backing up your system.

your treasured pictures, videos and documents may still be at risk. your computer could be stolen, destroyed by flood or fire or chopped into small pieces by a jealous ex-lover.

using a remote backup service is a good way to mitigate against this type of problem. for around $10 a month, you can find companies willing to store 10Gb of data for you. your data is usually accessible using a variety of methods, including rsync, vpn and ftp. to see some of these services, type remote backup rsync service into google.

in this article, i discuss using open source software to take advantage of these services in an efficient and secure manner, allowing the backup of large directories over a dsl-speed line while you sleep.

using the term "content management system" to describe the drupal cms understates it's full potential. i prefer to consider drupal a web-application development-system, particularly suitable for content-heavy projects.

what are the fantastic four?

drupal's application development potential is provided in large-part by a set of "core" modules that dovetail to provide an application platform that other modules and applications build on. these modules have become a de-facto standard: drupal's fantastic four. our superheros are cck, views, panels and cck field types and widgets. if you are considering using drupal to build a website of any sophistication, you can't overlook these.

if you've setup a clustered drupal deployment (see scaling drupal step three - using heartbeat to implement a redundant load balancer), a good next-step, is to scale your database tier.

in this article i discuss scaling the database tier up and out. i compare database optimization and different database clustering techniques. i go on to explore the idea of database segmentation as a possibility for moderate drupal scaling. as usual, my examples are for apache2, mysql5 and drupal5 on debian etch. see the scalability overview for related articles.

i got some good feedback on my dedicated data server step towards scaling. kris buytaert in his everything is a freaking dns problem blog points out that nfs creates an unnecessary choke point. he may very well have a point.

having said that, i have run the suggested configuration in a multi-web-server, high-traffic production setting for 6 months without a glitch, and feedback on his blog gives example of other large sites doing the same thing. for even larger configurations, or if you just prefer, you might consider another method of synchronizing files between your web servers.

if you felt a waft of cold air when you read the recent highly critical drupal security announcement on arbirary code execution using install.php, you were right. your bum was hanging squarely out of the window, and you should probably consider beefing up your security.

drupal's default exposure of files like install.php and cron.php present inherent security risks, for both denial-of-service and intrusion. combine this with critical administrative functionality available to the world, protected only by user defined passwords, broadcast over the internet in clear-text, and you've got potential for some real problems.

the authors of drupal have paid considerable attention to performance and scalability. consequently even a default install running on modest hardware can easily handle the demands of a small website. my four year old pc in my garage running a full lamp install, will happily serve up 50,000 page views in a day, providing solid end-user performance without breaking a sweat.

when the times comes for scalability. moving of of the garage

if you are lucky, eventually the time comes when you need to service more users than your system can handle. your initial steps should clearly focus on getting the most out of the built-in drupal optimization functionality, considering drupal performance modules, optimizing your php (including considering op-code caching) and working on database performance. John VanDyk and Matt Westgate have an excellent chapter on this subject in their new book, "pro drupal development"

once these steps are exhausted, inevitability you'll start looking at your hardware and network deployment.

if you've setup a clustered drupal deployment (see scaling drupal step two - sticky load balancing with apache mod_proxy), a good next-step, is to cluster your load balancer.

one way to do this is to use heartbeat to provide instant failover to a redundant load balancer should your primary fail. while the method suggested below doesn't increase the loadbalancer scalability, which shouldn't be an issue for a reasonably sized deployment, it does increase your the redundancy. as usual, my examples are for apache2, mysql5 and drupal5 on debian etch. see the scalability overview for related articles.

if you've setup your drupal deployment with a separate database and web (drupal) server (see scaling drupal step one - a dedicated data server), a good next step, is to cluster your web servers. drupal generates a considerable load on the web server and can quickly become resource constrained there. having multiple web servers also increases the the redundancy of your deployment. as usual, my examples are for apache2, mysql5 and drupal5 on debian etch. see the scalability overview for related articles.

in my previous blog, i go over a simple how-to for setting up xen on etch. in this configuration the xen guests are only visible to the xen-host, and any services on the xen-hosts must be accessed via port forwarding, tunneling etc.

for some applications, a bridging configuration works better. you can set this up as follows:

if you've already installed drupal on a single node (see easy-peasy-lemon-squeezy drupal installation on linux), a good first step to scaling a drupal install is to create a dedicated data server. by dedicated data server i mean a server that hosts both the database and a fileshare for node attachments etc. this splits the database server load from the web server, and lays the groundwork for a clustered web server deployment. here's how you can do it. as usual, my examples are for apache2, mysql5 and drupal5 on debian etch. see the scalability overview for related articles.