I wouldn't say it's a horror story, it's just not really for time series "big data". The backend guys have had to muck about with the data a lot to get good per

I wouldn't say it's a horror story, it's just not really for time series "big data". The backend guys have had to muck about with the data a lot to get good performance out of it. There's some optimizations we missed on the sysadmin side too, like sharding the cluster after it got to ~250GB, and now it's many times that. Our Mongo clusters have been running production for well over a year.