Tuesday, September 10, 2013

Need Help With Database Scalability? Understand I/O

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As software developers, we value abstraction. The simpler the API, the more attractive it becomes. Arguably, MongoDB’s greatest strengths are its elegant API and its agility, which let developers simply code.

But when MongoDB runs into scalability problems on big data, developers need to peek underneath the covers to understand the underlying issues and how to fix them. Without understanding, one may end up with an inefficient solution that costs time and money. For example, one may shard prematurely, increasing hardware and management costs, when a simpler replication setup would do. Or, one may increase the size of a replica set when upgrading to SSDs would suffice.

This article shows how to reason about some big data scalability problems in an effort to find efficient solutions.

Read more here

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