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But you need to pay attention to the important stuff. Scaling was important and core to the product, but dealing with the network, getting the hardware racked, building machines, ordering stuff, getting pricing out of Dell, you name it. That was a lot of work that was not useful.
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Livingston: Outside of the scaling requirements, can you remember any
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technical problems that you guys solved
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Schachter: Tagging basically was the thing. And then there s a gagillion little
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improvements in marketing things. We actually thought about the product always with an eye toward innovation. Everything we did we questioned and I think we didn t even go far enough. Whatever it is, question every single aspect of conventional wisdom. Is that the right way to do it or can we break that and make it better That s also dangerous, because, if you are doing a lot of paradigm innovation, call it which is not a good word but if you are breaking boundaries elsewhere, maybe you need to be very within boundaries on other fronts.
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Livingston: Do you remember a time when you were worried about some-
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Schachter: Site s down. Site s slow. Table crash MySQL corrupted a table.
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That happened all the time. A great deal of what we did was putting out fires. We didn t have a lot of process management in place, which probably hurt us a great deal. A week after the acquisition, the power of the data center dropped and corrupted every single machine. We were down for like 48 hours. That was horrific. The power bounced in the network; the machines didn t come back up because they weren t configured quite properly. We weren t careful about that. In general, assume that whatever you are doing is going to go wrong. How can you make it so that it will go faster when it does go wrong Because it will. For example, the rebuild script takes 24 hours, but that s not a big deal because this part of the system isn t live yet. But when it is live and it takes 24 hours to redo, that s a big deal. So fix it. Make it work in 2 or whatever. There s a lot of stuff that you can t get around due to SQL, like you can t change the database without bringing the site down.
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Livingston: What kind of technology inspired you Schachter: Inspired We built in Perl, MySQL, Apache. Very standard LAMP
stack kind of stuff. That was the standard mechanism for everything.
Livingston: Would you do anything differently if you could Schachter: Knowing what I know now, I would have designed the back-end
architecture differently, and that would have saved a lot of work now. Scaling past one machine, one database, is very challenging, even with replication. The tools that are there are not quite right. For example, when you add things to a table and it numbers them, that means you can t have a second machine also adding to them because the numbers will collide. So what do you do You have to come up with some
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completely different way to do it. Do you have a central server that hands out number sets, or do you come up with something that s not numbers Do you use random numbers and hope they never collide Whatever it is, autoassigned IDs just don t fly. There s a stack of about 15 things that I have, a big list of pitfalls.
Livingston: Can you remember any features from del.icio.us that the users
wanted or really loved that surprised you
Schachter: There s always stuff. I tend to be careful about that. I think people
ask for features they want to do something, but they don t say, I want to do that something. They translate it into some feature that typically they ve seen somewhere else and ask for that instead. I want a feature that does this. Why do you want to do that Then it turns out there s some better way to do that. So, stuff that people ask for, I tend to try and dig to the root cause, before reducing to practice. People frequently aren t quite sure what they want. Then there s a whole bunch of stuff that s like, Feature 1 and feature 2 suggest feature 3; ask for feature 3. And I just know that people are never going to use feature 3 and the implementation thereof would be quite expensive. So leave it out.
Livingston: How did your user base evolve over the years Schachter: I think it s still a very technical, early adopter audience. It s broadening over time, but we re sticking with that for now. Livingston: Can you tell me about some of the major turning points in
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