Technology behind facebook

Software that helps Facebook scale

In some ways Facebook is still a LAMP site (kind of), but it has had to change and extend its operation to incorporate a lot of other elements and services, and modify the approach to existing ones.

For example:

• Facebook still uses PHP, but it has built a compiler for it so it can be turned into native code on its web servers, thus boosting performance.
• Facebook uses Linux, but has optimized it for its own purposes (especially in terms of network throughput).
• Facebook uses MySQL, but primarily as a key-value persistent storage, moving joins and logic onto the web servers since optimizations are easier to perform there (on the “other side” of the Memcached layer).

Then there are the custom-written systems, like Haystack, a highly scalable object store used to serve Facebook’s immense amount of photos, or Scribe, a logging system that can operate at the scale of Facebook (which is far from trivial).

But enough of that. Let’s present (some of) the software that Facebook uses to provide us all with the world’s largest social network site.

MEMCACHE

Memcached is by now one of the most famous pieces of software on the internet. It’s a distributed memory caching system which Facebook (and a ton of other sites) use as a caching layer between the web servers and MySQL servers (since database access is relatively slow). Through the years, Facebook has made a ton of optimizations to Memcached and the surrounding software (like optimizing the network stack).

Facebook runs thousands of Memcached servers with tens of terabytes of cached data at any one point in time. It is likely the world’s largest Memcached installation.

HIPHOP FOR PHP

HP, being a scripting language, is relatively slow when compared to code that runs natively on a server. HipHop converts PHP into C++ code which can then be compiled for better performance. This has allowed Facebook to get much more out of its web servers since Facebook relies heavily on PHP to serve content.

A small team of engineers (initially just three of them) at Facebook spent 18 months developing HipHop, and it is now live in production.

HAYSTACK

Haystack is Facebook’s high-performance photo storage/retrieval system (strictly speaking, Haystack is an object store, so it doesn’t necessarily have to store photos). It has a ton of work to do; there are more than 20 billion uploaded photos on Facebook, and each one is saved in four different resolutions, resulting in more than 80 billion photos.

And it’s not just about being able to handle billions of photos, performance is critical. As we mentioned previously, Facebook serves around 1.2 million photos per second, a number which doesn’t include images served by Facebook’s CDN. That’s a staggering number.

BIGPIPE

BigPipe is a dynamic web page serving system that Facebook has developed. Facebook uses it to serve each web page in sections (called “pagelets”) for optimal performance.

For example, the chat window is retrieved separately, the news feed is retrieved separately, and so on. These pagelets can be retrieved in parallel, which is where the performance gain comes in, and it also gives users a site that works even if some part of it would be deactivated or broken.

CASSANDRA

Cassandra is a distributed storage system with no single point of failure. It’s one of the poster children for the NoSQL movement and has been made open source (it’s even become an Apache project). Facebook uses it for its Inbox search.

Other than Facebook, a number of other services use it, for example Digg. We’re even considering some uses for it here at Pingdom.

SCRIBE

Scribe is a flexible logging system that Facebook uses for a multitude of purposes internally. It’s been built to be able to handle logging at the scale of Facebook, and automatically handles new logging categories as they show up (Facebook has hundreds).

HADOOP AND HIVE

Hadoop is an open source map-reduce implementation that makes it possible to perform calculations on massive amounts of data. Facebook uses this for data analysis (and as we all know, Facebook has massive amounts of data). Hive originated from within Facebook, and makes it possible to use SQL queries against Hadoop, making it easier for non-programmers to use.

Both Hadoop and Hive are open source (Apache projects) and are used by a number of big services, for example Yahoo and Twitter.

THRIFT

Facebook uses several different languages for its different services. PHP is used for the front-end, Erlang is used for Chat, Java and C++ are also used in several places (and perhaps other languages as well). Thrift is an internally developed cross-language framework that ties all of these different languages together, making it possible for them to talk to each other. This has made it much easier for Facebook to keep up its cross-language development.

Facebook has made Thrift open source and support for even more languages has been added.

VARNISH

Varnish is an HTTP accelerator which can act as a load balancer and also cache content which can then be served lightning-fast.

Facebook uses Varnish to serve photos and profile pictures, handling billions of requests every day. Like almost everything Facebook uses, Varnish is open source.

Other things that help Facebook run smoothly

We have mentioned some of the software that makes up Facebook’s system(s) and helps the service scale properly. But handling such a large system is a complex task, so we thought we would list a few more things that Facebook does to keep its service running smoothly.

GRADUAL RELEASES AND DARK LAUNCHES

Facebook has a system they called Gatekeeper that lets them run different code for different sets of users (it basically introduces different conditions in the code base). This lets Facebook do gradual releases of new features, A/B testing, activate certain features only for Facebook employees, etc.

Gatekeeper also lets Facebook do something called “dark launches”, which is to activate elements of a certain feature behind the scenes before it goes live (without users noticing since there will be no corresponding UI elements). This acts as a real-world stress test and helps expose bottlenecks and other problem areas before a feature is officially launched. Dark launches are usually done two weeks before the actual launch.

PROFILING OF THE LIVE SYSTEM

Facebook carefully monitors its systems (something we here at Pingdom of course approve of), and interestingly enough it also monitors the performance of every single PHP function in the live production environment. This profiling of the live PHP environment is done using an open source tool called XHProf.

GRADUAL FEATURE DISABLING FOR ADDED PERFORMANCE

If Facebook runs into performance issues, there are a large number of levers that let them gradually disable less important features to boost performance of Facebook’s core features.