MySQL Metrics with InstrumentalD

The best way to get MySQL metrics into Instrumental is with InstrumentalD, the fast and reliable server agent created by the Instrumental team. By using InstrumentalD to collect MySQL metrics, you'll get premade MySQL graphs and unlock the full power of our Query Language.

• Quick Start
• Configuring InstrumentalD
• MySQL Metrics Collected
• How many metrics can I expect from InstrumentalD?
• Suggested Graphs

Quick Start

Check out our Installation Instructions for more details. Otherwise, here's the bare minimum to get up and running.

brew install instrumental/instrumentald/instrumentald
echo 'mysql = ["root@tcp(localhost:3306)/"]' >> instrumentald.toml
instrumentald -c instrumentald.toml -k PROJECT_TOKEN

curl https://packagecloud.io/install/repositories/expectedbehavior/instrumental/script.deb.sh | sudo bash
sudo apt-get install instrumentald
sudo echo 'project_token = "PROJECT_TOKEN"' > /etc/instrumentald.toml
sudo echo 'mysql = ["root@tcp(localhost:3306)/"]' >> /opt/instrumentald.toml
sudo systemctl start instrumentald

curl https://packagecloud.io/install/repositories/expectedbehavior/instrumental/script.rpm.sh | sudo bash
sudo yum install instrumentald
sudo echo 'project_token = "PROJECT_TOKEN"' > /etc/instrumentald.toml
sudo echo 'mysql = ["root@tcp(localhost:3306)/"]' >> /opt/instrumentald.toml
sudo service instrumentald restart

Configuring InstrumentalD

InstrumentalD will collect the metrics below from as many MySQL servers as configured. Here's a basic example of the MySQL config:

mysql = ["root@tcp(localhost:3306)/"]

Everything you need to know about configuring InstrumentalD, including more information about MySQL config, can be found in the InstrumentalD Configuration docs.

Metrics Collected

All MySQL metrics collected by InstrumentalD follow this pattern:

mysql.<hostname>.<metric>

growth_rate(mysql.db-001.queries)

How many metrics can I expect from InstrumentalD?

InstrumentalD will collect 5 metrics per MySQL database configured.

Suggested Graphs

The following graphs are based on the metrics collected by InstrumentalD, and provide great starting point for monitoring MySQL.

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