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Categories
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Data Center Design:
Construction,
Container,
Data Center Outages,
Monitoring,
Power and Cooling
Policy: Cap and Trade, Carbon Footprint, Carbon Reduction Commitment, Carbon Tax, Emissions
Power: Biomass, Fossil Fuel, Fuel Cell, Geothermal, Hydro, Nuclear, Solar, Wind
Application: Cloud Computing, Grid Computing
Technology: Microblogging, Networking, Servers, Storage, Supercomputer
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Authors
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Scaling AWS Relational Database Service
Perspectives (Oct 9 2010)
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Hosting multiple MySQL engines with MySQL Replication between them is a common design pattern for scaling read-heavy MySQL workloads. As with all scaling techniques, there are workloads for which it works very well but there are also potential issues that need to be understood. In this case, all write traffic is directed to the primary server and, consequently is not scaled which is why this technique works best for workloads heavily skewed towards reads. But, for those fairly common read heavy workloads, the techniques works very well and allows scaling the read workload across over a fleet of MySQL instances. Of course, as with any asynchronous replication scheme, the read replicas are not transactionally updated. So any application running on MySQL read replica’s must be tolerant of eventually consistent updates. Load balancing high read traffic over multiple MySQL instances works very well but this is only one of the ... (Read Full Article)
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