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The energy nightmare of web server farms.(Report): An article from: Synthesis/Regeneration $9.95 This digital document is an article from Synthesis/Regeneration, published by WD Press on January 1, 2008. The length of the article is 2935 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.Citation DetailsTitle: The energy nightmare of web server farms.(… |
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Scaling Options and SQL Server Performance Optimization
DBAs have the responsibility of maintaining and improving database production environments. This includes making the decision of whether or not they will scale the hardware systems. Many factors, including budgets and timeframes, make the decision even harder. One of the most important decisions is whether to scale up or scale out.
Scaling up involves moving databases and applications to a greater level of hardware with better processors, increased memory capability, and quicker disk drives. Using higher levels of system resource could require you to scale up the production environment to be certain that end users are receiving the best experience.
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To scale out basically means using federated servers to partition and replicate data across them. For instance, you could partition CRM or ERP functionality on separate servers and partition horizontal data across various databases.
Consider SQL Server Performance Tuning
Prior to making that final decision on scaling up or scaling out, make sure that it is necessary. Performing the proper SQL server performance tuning can aid you in making that decision. Many performance and scalability problems can be solved by optimizing the SQL server. You should optimize SQL server databases and applications with wait time performance data and historical trend data before you decide to scale up or scale out.
A majority of performance bottlenecks such as inefficient locking, bad indexes, and unprepared SQL statements that cause overloaded CPUs, and disk input/output utilization can be resolved with SQL server optimization instead of scaled up hardware.
Scaling Up or Scaling Out
When each application and database has been optimized and performance issues still arise, you must then determine if it is time to scale up or out. The first solution is to scale up. Although it can be costly to scale up, it is certainly simpler and more efficient than scaling out. Scaling up is essentially upgrading slower hardware with new, fast equipment and/or adding additional hardware components to the current configuration.
After scaling up and buying new hardware, you are still having performance issues, you will then need to look into scaling out with a federated server environment. Cutting back on the work each individual server must do will probably eliminate any performance issues that still occur.
If you don't have the funding to purchase new hardware (scale up), scaling out becomes a viable option. If you already have sufficient server capacity, your expenditures will be decreased dramatically. You should certainly do some research and determine if the cost savings is worth the complex nature of utilizing a federated server environment.
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Start With Optimization, Advance with Scaling
It bears repeating that the most and least expensive performance enhancing optimization occurs at the application and database levels. You should be able to eliminate the need for scaling up or out if you focus server performance tuning on the database and application levels. Ensure that you have looked into every optimization option prior to purchasing hardware or implementing complex scaling options.