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When to Scale for SQL Server Optimization
There comes a time in every database production environment when you must decide whether or not to scale hardware systems. Adding even more difficulty to this decision are factors like budgeting and time frames. A very significant decision is choosing 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. For example, CRM or ERP functionalities could be partitioned on different servers and horizontal data could be partitioned across several databases.
Determine What Is Necessary
Ensure that scaling up or scaling out is a necessity. Adequate SQL Server performance tuning efforts can help you make 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.
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.
Should You Scale Up Or Scale 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. It can be quite expensive to scale up, but it is surely easier and more productive 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.
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. 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. 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 bears repeating that the most and least expensive performance enhancing optimization occurs at the application and database levels. 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.