How Riak is helping to power AOL's AdLearn Adverstising Platform

Interesting post on how a developer at AOL is using Riak in AdLearn. What is AdLearn?

AdLearn is the brains behind AOL's network advertising business. It attempts to find the best ad for a given impression. An impression is the displaying of an ad on a piece of inventory. A piece of inventory might be a banner on a website, for example. AdLearn takes many factors into account including past performance, targeting, campaign type, etc. to schedule the right ad for any given impression.

Other interesting points from the article:

• Uses riak-search as a distributed file index
• Adding more nodes to a running cluster is stupid simple and the cluster remains fully operational thanks to hinted handoff
• A horizontal scale out is a simple matter of standing up a new node, joining it to the cluster, and adding an entry to the splitter
• Talks to riak-kv via protocol buffers

Read the entire post: AOL, Meet Riak