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
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.
New projects. You can focus on new server and application deployment, change management, inventory management, and relationship building across lines of business, and other initiatives.
Process automation. Data pros love to automate processes, which improves business operations overall. But data pros can’t automate processes if they’re constantly fighting fires.
General performance optimization. Business operations improve when data pros can focus on query tuning, statistics updates, index maintenance, and backup and restore procedures.
Community involvement. 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.
Going home on time. 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.
SentryOne gathers data from your entire environment and displays it in a visual format you can understand at a glance. With SentryOne, you can drill down to see the metrics on every server in less than five seconds. It’s like having a full-time DBA gathering, aggregating, and presenting data—24/7.
Baselines reveal normal performance across various conditions, allowing you to measure server performance before and after a particular incident. You can set up alerts and define actions triggered by metrics that exceed baselines, which puts you ahead of the game rather than depending on users to alert you
SentryOne gives you the power to control alerts. The system automatically eliminates unnecessary alerts and directs valid alerts to the right people. With SentryOne, you can fight alert fatigue, recapturing the value of alerts. You’ll get alerts based on what’s abnormal for your particular platform—not some other company’s environment.
Overall Health Score
SentryOne gives you an at-a-glance health status for your entire environment that uses a 100-point scale based on several factors, including the severity, number, and age of the advisory events, as well as the number of servers you're monitoring.
Easily automate processes across multiple platforms. You can define smart workflows based on success, failure, or completion.
Eliminate the guesswork and instantly see the best index options for your queries.
Run automated index defragmentation on more than one index at a time.