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The Server $10 The Server – E-40 |
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Scaling Options and SQL Server Performance Optimization
There comes a time in every database production environment when you must decide whether or not to scale 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 means to move databases and applications to a larger class of hardware with more powerful processors, more memory, and faster 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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Scaling out means to implement the use of federated servers where data is partitioned or replicated across them. Examples include functional partitioning of CRM or ERP functionality on different servers and horizontal data partitioning across multiple databases.
Stop Right There: SQL Server Performance Tuning
Before scaling up or out, you must be sure that it is required. Adequate SQL Server performance tuning efforts can help you make that decision. Most performance and scalability issues can be resolved through SQL server optimization. The decision to scale up or scale out should be set aside until SQL server databases and applications are optimized by analyzing past trends and wait time performance information.
Many bottlenecks in performance like unprepared SQL statements, substandard indexes, and inefficient locking that contribute to greater workloads for CPUs and memory input/out use can be fixed with SQL server optimization instead of scaling up hardware systems.
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. Even though scaling up may require significant expenditures, it is easier 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.
If scaling up still hasn't solved your performance problems, the next decision to make is to scale out and implement a federated server environment. Cutting back on the work each individual server must do will probably eliminate any performance issues that still occur.
Scaling out is also an option when budget constraints prohibit hardware scaling. If you currently have sufficient, or almost sufficient server capacity, you have the opportunity to significantly diminish expenditures. The biggest decision here is deciding if the money saved is worth the increased complexity of managing a federated server environment.
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Start With Optimization, Advance with Scaling
It is imperative to repeat that proper optimization at the database and application levels is the least expensive and most efficient way to enhance performance. 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. Make sure that you have tried every performance optimization option before you decide that scaling is the only way to solve your performance issues.