There are lots of reasons to optimize a database, each one of which should convince you to stay on top of your administrative duties if you are responsible for keeping a server running as smoothly as possible.
To provide a bit of motivation and illustrate the extent of the impact that optimization can have, here is a look at a hand of ways in which proactive adjustments can pay dividends.
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Poor performance has a knock-on effect
If a database is not performing optimally, then this sluggishness will be felt in every application and service which relies upon the server to function normally.
Therefore if you want to keep end-users happy, improve productivity, and wring the maximum value out of your server setup, you need to consider what these optimizations mean in terms of performance.
Planning for the future is sensible
Your efforts to optimize your database server are not just about ensuring effective performance levels are achievable today, but also to help you prepare for the future.
For example, by keeping an eye on key performance metrics, you can get a better idea of when your server hardware is getting closer to its useful limits, and thus schedule upgrades and alterations well in advance.
Likewise if you know how much your server can handle, you will be able to calculate what kinds of workloads are manageable and what might be enough to push it beyond its optimal operational parameters. If your sector is especially prone to seasonal changes in demand, this could be a very relevant factor to take onboard as you optimize.
Team members can focus on other tasks
While the process of optimizing a database server is an ongoing one which requires special skills and experience, it should also be seen as a preventative measure which means that your technical team is not suddenly bogged down in dealing with a major issue which arises because smaller problems are not remedied over time.
It is far better to schedule frequent optimization sessions and carry out troubleshooting sooner rather than later, as if you procrastinate and ignore minor performance snafus then these could snowball and eventually overwhelm your team.
A path to recovery can be plotted
Database server optimization is partly about working out the best ways to ensure that you can plug gaps and recover mission-critical information and services when unexpected outages do occur.
Furthermore, it is about establishing a realistic timeline for recovery which can give you an indication of how long your business may be without these essentials if something goes wrong.
It is sensible to make use of the opportunities provided by optimization to find out how resilient your infrastructure is and whether there are any individual elements that are potential weak links, both practically and in terms of security.
Modern data environments are growing ever more complex and unless you are proactive in your performance optimization, you may find that everything from day-to-day operations to disaster recovery takes longer and costs your company more.