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Scaling an application in the cloud often hits the most common
bottleneck – the database tier. Not only is database performance the
number one cause of poor application performance, but also the issue is
magnified in cloud environments where I/O and bandwidth is generally
slower and less predictable than in dedicated data centers. Database
sharding is a highly effective method of removing the database
scalability barrier, operating on top of proven RDBMS products such as
MySQL and Postgres – as well as the new NoSQL database platforms. One
critical aspect often given too little consideration is monitoring and
continuous operation of your databases, including the full lifecycle, to
ensure that they stay up.
Scaling SQL and NoSQL Databases in the Cloud (CodeFutures) from RightScale on Vimeo.
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