This guide explains how to gather extensive MySQL monitoring data—including connections, buffer cache, locks, SQL activity, statement counts, throughput, server variables, and slow‑query analysis—solely with MySQL's native SHOW statements, providing low‑overhead, real‑time insight for database administrators.
The August 2023 DB‑Engines popularity ranking shows Microsoft SQL Server suffering the steepest score decline, while PostgreSQL and MongoDB post significant year‑over‑year gains, and the top three databases also fell, with the report detailing score trends, category rankings, and the five metrics used to calculate popularity.
This guide explains how to use MongoDB's built-in mongostat tool and key database functions like db.stats() and db.serverStatus(), detailing command options, output metrics, and how to interpret them for diagnosing performance issues and monitoring server health.
This guide explains what MySQL QPS and TPS metrics are, how to calculate them using show status or mysqladmin extended‑status, and provides a ready‑to‑run Bash/Awk script that records QPS, TPS, Threads_connected and Threads_running every second.
