![]() From there, the Prometheus server can scrape the metrics. The job of an exporter is to extract metrics from a target application using the language the underlying application understands and then expose them over REST. To solve this issue, the Prometheus community has developed exporters. Grafana is distributed with a built-in MySQL data source plugin that allows you to query and visualize data from a MySQL-compatible database.If you are good with SQL queries, then, of course, you can build monitoring using queries only, as the MySQL plugin allows you to run queries directly, but that is going to be a hectic and lengthy task.Īlso, Prometheus is a "Pull" based system, which means the Prometheus server fetches (called "scraping" in the Prometheus world) the metrics from the running application periodically.īut the MySQL server does not provide any endpoint from which Prometheus can scrape the metrics directly. It allows you to query, visualize, and make alerts from your metrics from about 30+ open-source and commercial data sources. Grafana is one of the leading open-source metrics monitoring and visualization tools. So let us get started by first understanding why we need mysqld_exporter. In this article, we shall be using Prometheus, Grafana, and mysqld_exporter for Prometheus to monitor our MySQL server. ![]() There are multiple options available in both the commercial and open source world to provide visual insights, but Prometheus and Grafana are among the leaders in the open source space. What if we could get visual insights of what is happening inside our database server so that we could take any preventive or corrective actions ? In order to solve these issues, most of the time, we get the information from logs and inspect variables or performance schema. We also face different issues like table locks, slow queries, and max connections reached, to name a few. During the course of our career, we deal with database servers handling thousands and sometimes millions of transactions.
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