How VividCortex's MySQL-Based Time Series Database Works
In this talk you'll learn how we store and analyze time series data efficiently at VividCortex, using MySQL and Redis as a storage engine. VividCortex's time series workload presents interesting and unusual challenges that most conventional time series databases don't handle well, at a speed and volume that is also unusual. Building on MySQL and Redis enabled us to do this with low costs on relatively inexpensive EC2 instances. You'll learn about our architecture, the challenges we had to solve and some of the interesting ways we found to fit the solution to the problem, and what we're working towards for our next-generation backend platform as we build the future of database monitoring. You'll find this talk to be both technical and conceptual, and not at all a vendor pitch.
Baron is a widely-recognized expert on database internals, web performance, and large-scale application development. His best-selling technical books and open-source software are used by tens of thousands of engineers every day. Before founding VividCortex, Baron was an executive at Percona. He has a degree in Computer Science.