Guest post by Pete Whitney
Starting to work with any new technology or new API is always challenging at first. You’re often not quite sure of the best ways to get things done or if you’re are using the new technology in the most efficient manner. Furthermore, the early learning process is often littered with trial and error improvements that unfortunately take time to rework and reengineer into more optimal solutions. It sure would be nice if we could short circuit this learning process and simply arrive at nirvana on the first cut. While I won’t proclaim that the destination of the blog is nirvana, I will try to short circuit the learning process by sharing four specific performance related tips that we learned at FireScope Inc. when we transitioned from MySQL to MongoDB for our improved cloud based Stratis product. This blog will share the shorthand version of these tips and point the reader to a more in depth rendering if further understanding is desired.
As noted earlier these are the shorthand tips. If you are interested in learning more about the research and analysis that produced these recommendations, you can read the following article on real-world application performance with MongoDB.
Pete serves as Vice President of Cloud Development at FireScope Inc. Pete’s primary role at FireScope is overseeing the architecture and development of FireScope Stratis and ensuring that our product line is the envy of the IT world. The architectural cornerstones of the Stratis product are unlimited scalability, built in redundancy, and no single point of failure. In the advertising industry Pete designed and delivered DG Fastchannel’s internet based advertising distribution architecture. Pete also excelled in other areas including design enhancements in robotic machine vision systems for FSI International Inc. These enhancements included mathematical changes for improved accuracy, improved speed, and automated calibration. Pete also designed a narrow spectrum light source, and a narrow spectrum band pass camera filter for controlled machine vision imaging. Pete graduated Cum Laude from the University of Texas at Dallas, and holds a Bachelor’s of Science in Computer Science. Pete can be contacted via Email at email@example.com.