How do you scale an AWS (Amazon Web Services) infrastructure? This article will give you a detailed reply in two parts: the tools you can use to make the most of Amazon’s dynamic approach, and the architectural model you should adopt for a scalable infrastructure.
(Link: Scaling an AWS infrastructure – Tools and Patterns)
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Facebook serves 570 billion page views per month (according to Google Ad Planner).
There are more photos on Facebook than all other photo sites combined (including sites like Flickr).
More than 3 billion photos are uploaded every month.
Facebook’s systems serve 1.2 million photos per second. This doesn’t include the images served by Facebook’s CDN.
More than 25 billion pieces of content (status updates, comments, etc) are shared every month.
Facebook has more than 30,000 servers
(Link: Exploring the software behind Facebook, the world’s largest site | Royal Pingdom)
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The ratio of data reads to writes 3:1, which is an incredibly high write rate. A majority of the requests hitting the backend for FarmVille in some way modifies the state of the user playing the game. To make this scalable, we have worked to make our application interact primarily with cache components. Additionally, the release of new content and features tends to cause usage spikes since we are effectively extending the game. The load spikes can be as large as 50% the day of a new feature’s release. We have to be able to accommodate this spikey traffic.
(Link: How FarmVille Scales to Harvest 75 Million Players a Month)
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