Speeding up existing parts of the data infrastructure is a big part of what we do here at Talksum. As part of that mission, we work with various data store technologies, notably including MongoDB. Among many 3rd party storage layers, MongoDB is one of our favorite NoSQL data stores – one to which we’ve worked to speed access times. Similarly, we’ve also focused on improving performance by teaming up with Fusion-io to integrate the Fusion-io flash memory platform into the Talksum appliances at the hardware level.
So we were very happy to present along with Fusion-io at the recent MongoSV conference. MongoSV is an annual one-day conference in Silicon Valley, CA, dedicated to the open source, non-relational database MongoDB. This year’s conference included over 50 sessions by 10gen engineers and MongoDB users from companies such as foursquare, Github, Apollo Group (University of Phoenix), AOL, and more.
For our presentation, Talksum’s CTO, Dale Russell, and Platform Architect, Brian Knox, were joined by Fusion-io Solution Architect, Matthew Kennedy. The presentation highlighted how Talksum’s architectural approach, combined with Fusion ioMemory technology, can solve some interesting customer challenges.
Specifically, we highlighted how Talksum’s data aggregation and filtering can simplify Netflow data processing and monitoring. We used MongoDB as the target storage layer, which took advantage of some of the optimization concepts from our platform along with the newest features of MongoDB.
More details can be seen in the presentation recording here, with our portion starting at slide 21: