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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. There are variables such as time frames and budgets that make this decision very difficult. 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 involves using federated servers where data can be partitioned or replicated across them. Examples include functional partitioning of CRM or ERP functionality on different servers and horizontal data partitioning across multiple databases.
Consider SQL Server Performance Tuning
Before scaling up or out, you must be sure that it is required. 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. Scaling up or out should not be done until applications and SQL Server databases have been optimized using historical trend and wait-time performance data.
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.
Should You Scale Up Or Scale Out?
Once you’ve optimized applications and databases and are still seeing performance issues, you must decide whether you need to scale up or scale out. It is common to scale up first. 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.
If, once you have scaled up on hardware, your system is still experiencing performance issues, you should consider scaling out and implementing 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 must, however, determine whether the cost savings is worth the added complexity of running a federated server environment.
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Start By Optimizing, Follow up by Scaling
It is important to stress that the most efficient and least costly performance enhancements come from the databases and applications. Concentrating server performance tuning in those areas will commonly phase out the need for scaling. Make sure that you have tried every performance optimization option before you decide that scaling is the only way to solve your performance issues.