In a previous post we discussed how to improve the performance of BerkeleyDB by tuning the cache size. Let’s see how Monitis can help you keep tabs on the cache hit rate and other critical database metrics. We use a custom monitor created by a perl script, monitor_bdb.pl, which can be downloaded from our repository on [...]

 When it comes to performance, BerkeleyDB’s cache size is the single most important configuration parameter. In order to achieve maximum performance, the data most frequently accessed by your application should be cached so that read and write requests do not trigger too much I/O activity. BerkeleyDB databases are grouped together in application environments - directories which [...]

NoSQL databases have generated a lot of buzz in recent years, but in this installment we will take a look at a NoSQL database which seems to have been around forever. BerkeleyDB – the grand-daddy of NoSQL databases – started out as a project at UC Berkeley aimed at providing a simple but powerful database [...]