At Loggly we use MongoDB as a repository of statistics. We collect data on both the size and count of incoming events by originating ip and destination. These statistics on incoming events are used to drive the dashboards on the front page of every Loggly customer sub-domain that break down the last 24hrs of data flow by input and ip. This allows customers to get usage and flow information at a glance the minute they login without having to run solr searches across our indexes. We'll talk about how we tied Mongo into our infrastructure, and how we expose the data to the end users via our REST APIs.