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Grafana dashboards for MySQL and MongoDB monitoring using Prometheus

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Note: PMM2 is out!
Please see https://github.com/percona/grafana-dashboards/tree/PMM-2.0 for this repository details


Grafana dashboards for MySQL and MongoDB monitoring using Prometheus Build StatusCLA assistant

This is a set of Grafana dashboards for database and system monitoring using Prometheus datasource.

  • Advanced Data Exploration
  • Amazon RDS / Aurora MySQL metrics (CloudWatch datasource)
  • Compare System Parameters
  • CPU Utilization Details (Cores)
  • Cross Server Graphs
  • Disk Performance
  • Disk Space
  • Home Dashboard
  • MongoDB Cluster Summary
  • MongoDB InMemory
  • MongoDB MMAPv1
  • MongoDB Overview
  • MongoDB ReplSet
  • MongoDB RocksDB
  • MongoDB WiredTiger
  • MySQL Amazon Aurora Metrics
  • MySQL Command Handler Counters Compare
  • MySQL InnoDB Metrics
  • MySQL InnoDB Metrics Advanced
  • MySQL InnoDB Compression
  • MySQL MyISAM/Aria Metrics
  • MySQL MyRocks Metrics
  • MySQL Overview
  • MySQL Performance Schema
  • MySQL Performance Schema Wait Event Analyses
  • MySQL Query Response Time
  • MySQL Replication
  • MySQL Table Statistics
  • MySQL TokuDB Metrics
  • MySQL User Statistics
  • Network Overview
  • NUMA Overview
  • PostgreSQL Overview
  • ProxySQL Overview
  • Prometheus
  • Prometheus Exporter Status
  • Prometheus Exporters Overview
  • PXC/Galera Cluster Overview
  • PXC/Galera Graphs
  • Summary Dashboard
  • System Overview
  • Trends Dashboard
  • _PMM Add Instance
  • _PMM Amazon RDS and Remote Instances
  • _PMM Query Analytics Settings
  • _PMM System Summary

These dashboards are also a part of Percona Monitoring and Management project.

Live demo is available at https://pmmdemo.percona.com/graph/

Setup instructions

Add datasource in Grafana

The datasource should be named Prometheus so it is automatically picked up by the graphs.

image

Prometheus config

The dashboards use built-in instance label to filter on individual hosts. It is recommended you give the good names to your instances. Here is some example:

scrape_configs:
  - job_name: prometheus
    static_configs:
      - targets: ['localhost:9090']
        labels:
          instance: prometheus

  - job_name: linux
    static_configs:
      - targets: ['192.168.1.7:9100']
        labels:
          instance: db1

  - job_name: mysql
    static_configs:
      - targets: ['192.168.1.7:9104']
        labels:
          instance: db1

How you name jobs is not important. However, "Prometheus" dashboard assumes the job name is prometheus.

Exporter options

Here is the minimal set of options for the exporters:

  • node_exporter: -collectors.enabled="diskstats,filefd,filesystem,loadavg,meminfo,netdev,stat,time,uname,vmstat"
  • mysqld_exporter: -collect.binlog_size=true -collect.info_schema.processlist=true
  • mongodb_exporter: the defaults are fine.

Edit Grafana config (only for Grafana 4.x or below)

Enable JSON dashboards by uncommenting those lines in grafana.ini:

[dashboards.json]
enabled = true
path = /var/lib/grafana/dashboards

If you wish you may import the individual dashboards via UI and ignore this and the next two steps.

Install dashboards

First, download the code via git: git clone https://github.com/percona/grafana-dashboards.git

If you are using Grafana 4.x or below, do the following steps: cp -r grafana-dashboards/dashboards /var/lib/grafana/

If you are using Grafana 5.x or above, create mysqld_export.yml as the following content under /var/lib/grafana/conf/provisioning/dashboards

apiVersion: 1

providers:
  - name: 'mysqld_exporter'
     orgId: 1
     folder: ''
     type: file
     options:
       path: <you git repro path>/grafana-dashboards/dashboards

Restart Grafana

service grafana-server restart

Apply patch (only Grafana 3.x)

If you are using Grafana 3.x you need to apply a small patch on your installation to allow the interval template variable in Step field of graph editor page to get the good zoomable graphs. For more information, take a look at PR#5839.

sed -i 's/expr=\(.\)\.replace(\(.\)\.expr,\(.\)\.scopedVars\(.*\)var \(.\)=\(.\)\.interval/expr=\1.replace(\2.expr,\3.scopedVars\4var \5=\1.replace(\6.interval, \3.scopedVars)/' /usr/share/grafana/public/app/plugins/datasource/prometheus/datasource.js
sed -i 's/,range_input/.replace(\/"{\/g,"\\"").replace(\/}"\/g,"\\""),range_input/; s/step_input:""/step_input:this.target.step/' /usr/share/grafana/public/app/plugins/datasource/prometheus/query_ctrl.js

Update instructions

Simply copy the new dashboards to /var/lib/grafana/dashboards and restart Grafana or re-import them.

Graph samples

Here is some sample graphs.

image

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Submitting Bug Reports

If you find a bug in Percona Grafana Dashboards or one of the related projects, you should submit a report to that project's JIRA issue tracker.

Your first step should be to search the existing set of open tickets for a similar report. If you find that someone else has already reported your problem, then you can upvote that report to increase its visibility.

If there is no existing report, submit a report following these steps:

  1. Sign in to Percona JIRA. You will need to create an account if you do not have one.
  2. Go to the Create Issue screen and select the relevant project.
  3. Fill in the fields of Summary, Description, Steps To Reproduce, and Affects Version to the best you can. If the bug corresponds to a crash, attach the stack trace from the logs.

An excellent resource is Elika Etemad's article on filing good bug reports..

As a general rule of thumb, please try to create bug reports that are:

  • Reproducible. Include steps to reproduce the problem.
  • Specific. Include as much detail as possible: which version, what environment, etc.
  • Unique. Do not duplicate existing tickets.
  • Scoped to a Single Bug. One bug per report.

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