I'm building an online tool/app that is heavily dependent on messaging. This messaging is simple text, nothing complicated, and it will take place between my server back-end and the desktop/device. These messages would be very easy to store in Riak. Each message is created after a specific user event e.g. a user posts a request, etc. In turn, each message created could spawn another 200 to 3,000 messages (based on some other social networking features I can't say too much about to keep this short). I believe, in this case, we can assume each message will be a Riak Object. All tolled, from my estimation, I'm looking at 400,000 messages/objects generated per user per year. With an estimated active user base of 20 million (I hope some day), that would be 8 billion keys generated each year. The size of each object is about 2Kb max. So that works out about 16 Terabytes of data generated per year. 1. Is Riak a good fit for this solution going up to and beyond 20 million users (i.e. terabytes upon terabytes added per year)? 2. I plan to use 2i, which means I would be using the LevelDB backend. Will this be reasonably performant for billions of keys added each year? 3. I'm using what I have here (http://wiki.basho.com/Cluster-Capacity-Planning.html) as my guide for capacity planning. I plan on using Rackspace Cloud Servers for this specific project. Can I just keep adding servers as the size of my data grows?! 4. From the guide mentioned in 3 above, it appears I will need about 400 [4GbRAM 160GbHDD] servers for 20 million users (assuming an n_val of 4). This means I would need to add 20 servers annually for each million active users I add. Is it plausible to have an n_val of 4 for this many servers?! Wouldn't going higher just mean I'd have to add many more servers needlessly?! 5. Should I put all my keys in one bucket (considering I'm using 2i, does it matter)?! I'd appreciate some assistance with this. Thanks.
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