We often have clients approach us looking for help in scaling their systems, and all too often their long term vision is a mixed reality based on the approaches read about on popular blogs from people trying to solve very different problems. Hey, scaling your database can be difficult enough by itself, you don’t want to get tripped up by not understanding where you’re really going. In Database Scalability Patterns we will attempt to distill all of the information/hype/discussions around scaling databases, and break down the common patterns we’ve seen dealing with scaling databases. “Buzzwords” we’ll cover (and hopefully debuzz) include:
Vertical Scaling Horizontal Partitioning Horizontal Scaling Read Slaves Multi-Master Vertical Partitioning Federated Data Storage
More important than just describing what these things are (although that’s a good first step), we’ll also discuss along the way different points in the life-cycle of your database when you need to be thinking about the different options in front of you. We’ll factor in the types of application that your working on (think OLTP vs OLAP, or Social Networking vs. Corporate Application), the environment you’ll be working on (Scaling “in the cloud” is very different from DIY in the datacenter), and we will talk about the types of tools you’ll need to accomplish these goals (All replication systems are not the same, and some won’t help at all).
Robert Treat leads the Database Operations Group at OmniTI and has been working with open source for over a decade. An author and veteran industry speaker at conferences worldwide, Robert is a recognized expert within the open source database industry, maintaining a popular blog at http://www.xzilla.net.
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