An optimized data platform runs at peak performance. Problems are proactively solved, and mission-critical data flows smoothly and quickly. But most data platforms aren’t optimized. Too often, DBAs are constantly reacting to problems. Rather than tuning the data engine to run better and faster, they’re spending all their time and effort just to keep it running, period.
Day-to-day monitoring without any automation is tedious, and DBAs who use a manual process often abandon daily monitoring altogether. The result is a perpetual cycle of reactive troubleshooting.
This reactive stance degrades performance over the long
Mission-critical applications depend on data. When that data is not available, the applications and processes slow down or stop working altogether. When that happens, you're on the hot seat to quickly diagnose the problem, find the root cause, fix it, and get the system running smoothly again.
The ability to quickly diagnose problems requires visibility into your entire stack. Without the right information, DBAs can spend hours working on an issue without solving the problem.
Applications in the enterprise are designed and built to run efficiently. But if every component is not performing as expected, the entire system suffers, costing the business time and resources. Productivity slows to a trickle, and the organization is crippled until the issue is resolved.
When your entire environment runs efficiently, you have more capacity to focus on initiatives that drive the business forward:
When a user reports a critical issue, productivity has already slowed. But when your database is optimized, the number of tickets will drop.
Reducing the time spent on resolving tickets represents a key turning point. It means the team is either proactively preventing the issues from happening in the first place, or discovering and fixing problems before they can impact business operations.
When you’re no longer fighting fires, you can focus on more important work.
You can focus on new server and application deployment, change management, inventory management, and relationship building across lines of business, and other initiatives.
Data pros love to automate processes, which improves business operations overall. But data pros can’t automate processes if they’re constantly fighting fires.
Business operations improve when data pros can focus on query tuning, statistics updates, index maintenance, and backup and restore procedures.
When your data systems are optimized, your team will have time to volunteer for events, speak at technology events, and write blog posts and articles.
When you business-critical systems are running smoothly, you can enjoy your time away from work without a constant fear of the emergency phone call.