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Optimize SQL Servers and The Scaling Decision
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. Increased levels of system resource use might necessitate a scaled up production environment to be sure that end users are getting the best possible experience.
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Scaling out involves using federated servers where data can be partitioned or replicated across them. For example, CRM or ERP functionalities could be partitioned on different servers and horizontal data could be partitioned across several databases.
Consider SQL Server Performance Tuning
Prior to making that final decision on scaling up or scaling out, make sure that it is necessary. Adequate SQL Server performance tuning efforts can help you make that decision. Most performance and scalability issues can be resolved through SQL server optimization. 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.
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.
The Question: To Scale Up or 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. Scaling up usually comes first. Even though scaling up may require significant expenditures, it is easier and more efficient than scaling out. Scaling up involves the replacement of existing hardware with newer and faster hardware and/or incorporating new equipment to an existing 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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Optimize First, Scale Later
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.
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