By Sadequl Hussain | February 1, 2019
Database monitoring is a critical part of any application’s maintenance. Finding database issues in time can help the application remain healthy and accessible. Without solid monitoring in place, database outages can go unnoticed until it’s too late and the business is losing money and customers.
Like any operational monitoring, databases can be proactively or reactively monitored, with proactive monitoring favored by most people. Proactive monitoring seeks to identify any issues before they become major problems. It’s done by looking at database metrics and alerting teams or individuals when values are abnormal.
In this article, we will talk about the top five best practices for proactively monitoring database performance. Although the examples here are based on Amazon Aurora MySQL, the takeaways are applicable to any database.