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This is a guest post by Johann Schleier-Smith, CTO & co-founder, Tagged. Five snapshots on how Tagged scaled to more than 1,000 servers Since 2004, Tagged has grown from a tiny social experiment to one of the largest social networks, delivering five billion pages per month to many millions
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This is a guest post by Marcel Panse and Sander Nagtegaal from Peecho. Although architecture descriptions are an interesting read, the problems that start-ups face are hardly ever addressed. We would like to change that, so here is our architecture story. Introducing a start-up The Amsterdam-based company Peecho offers print-as-a-service.
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This is a guest post by Brian Doll, Application Performance Engineer at New Relic. New Relic’s multitenant, SaaS web application monitoring service collects and persists over 100,000 metrics every second on a sustained basis, while still delivering an average page load time of 1.5 seconds. We believe
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Joseph Smarr, former CTO of Plaxo (which explains why I recognized his picture), in I'm a technical lead on the Google+ team. Ask me anything, reveals the stack used for building Google+: Our stack is pretty standard fare for Google apps these days: we use Java servlets for
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This is a guest post by Ran Grushkowsky, Head of Technology at ATMCash. Virtualization and cloud-based systems are very hype in the industry; however, most financial companies stray from those solutions. At ATMCash, we’ve approached virtualization not for the usual reason of scalability, but for the usually missed value
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This is a guest post by Andy Gelfond, VP of Engineering for TripAdvisor. Andy has been with TripAdvisor for six and a half years, wrote a lot of code in the earlier days, and has been building and running a first class engineering and operations team that is responsible for
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Sometimes I get article proposals and then there's no follow up. Though these TripAdvisor data points are from 2010, I thought them worth sharing: Our site serves in excess of 100M dynamically generated page view a day (all media and static content goes through CDN), and we do
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The folks at Evernote were kind enough to write up an overview of their architecture in a post titled Architectural Digest. Dave Engberg describes their approach to networking, sharding, user storage, search, and some other custom services. Evernote is a cool application, partially realizing Vannevar Bush's amazing vision
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What should the architecture of your scalable, real-time, highly available service look like? There are as many options as there are developers, but if you are looking for a general template, this architecture as described by Prashant Malik, Facebook's lead for the Messages back end team, in Scaling
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Viddler is in the high quality Video as a Service business for a customer who wants to pay a fixed cost, be done with it, and just have it work. Similar to Blip and Ooyala, more focussed on business than YouTube. They serve thousands of business customers, including high traffic
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Robert Scoble wrote a fascinating case study, MySpace’s death spiral: insiders say it’s due to bets on Los Angeles and Microsoft, where he reports MySpace insiders blame the Microsoft stack on why they lost the great social network race to Facebook. Does anyone know if this is true?
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Facebook did it again. They've built another system capable of doing something useful with ginormous streams of realtime data. Last time we saw Facebook release their New Real-Time Messaging System: HBase To Store 135+ Billion Messages A Month. This time it's a realtime analytics system handling