Tracking events around scholarly articles is almost via definition a massive-scale operation, amassing 500 million events and serving them through an api takes a number of resources. Paintings on scalability has focussed on regions: managing massive numbers of articles and associated occasions, and making the api as rapid as feasible. Critical for any scalability paintings is ideal monitoring of the performance and we've got particularly used gear.?rack-mini-profiler is a profiler for development and production ruby programs, and gives targeted real-time comments:. Earlier this week we launched version 3.8 of the lagotto open source software program (migrating the software to version four of the rails framework). Lagotto is software that tracks events (perspectives, saves, discussions and citations) around scholarly articles and gives those article-level metrics to all journal articles published by way of plos. The project become commenced in 2008, and i'm the technical lead due to the fact can also 2012. That is the 24th launch considering the fact that i am concerned with the software program, and i need to take the opportunity to go into greater element approximately some of the instructions discovered along the manner.