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How Optimizing SQL Servers Can Reduce The Need For Scaling
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.
To scale up means moving databases and applications to bigger and better hardware with more powerful processors, greater amounts of memory, and faster disk drives. High levels of system resource use may require you to scale up your production environment to ensure optimum end user experiences.
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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
Ensure that scaling up or scaling out is a necessity. Adequate SQL Server performance tuning efforts can help you make that decision. Most performance and scalability issues can be resolved through SQL server optimization. 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.
SQL Server optimization can resolve performance bottlenecks like inefficient locking, unprepared SQL statements, poor indexes that lead to increased CPU loads, and memory or disk I/O utilization that are often incorrectly mitigated by scaling up on hardware.
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. It is common to scale up first. It can be quite expensive to scale up, but it is surely easier and more productive than scaling out. Scaling up includes replacing slow hardware components with newer, faster ones and/or adding more hardware to existing configurations.
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. Decreasing the workload on the individual servers will likely cure any performance issues that may remain.
Scaling out is also an option when budget constraints prohibit hardware scaling. If you have enough, or nearly enough, server capacity already, expenditures will be greatly reduced. 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 By Optimizing, Follow up by 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. Focusing your SQL Server performance tuning there usually eliminates the need for any type of scaling. Be sure to exhaust all optimization options before going through the expense and added complexities of scaling.