MySQL monitoring with Datadog
If you’ve already read our post on collecting MySQL metrics, you’ve seen that you have several options for ad hoc performance checks. For a more comprehensive view of your database’s health and performance, however, you need a monitoring system that continually collects MySQL statistics and metrics, that lets you identify both recent and long-term performance trends, and that can help you identify and investigate issues when they arise. This post will show you how to set up comprehensive MySQL monitoring by installing the Datadog Agent on your database servers.
Integrate Datadog with MySQL
As explained in Part 1, MySQL exposes hundreds of valuable metrics and statistics about query execution and database performance. To collect those metrics on an ongoing basis, the Datadog Agent connects to MySQL at regular intervals, queries for the latest values, and reports them to Datadog for graphing and alerting.
Installing the Datadog Agent
Installing the Agent on your MySQL server is easy: it usually requires just a single command, and the Agent can collect basic metrics even if the MySQL performance schema is not enabled and the sys schema is not installed. Installation instructions for a variety of operating systems and platforms are available here.
Configure the Agent to collect MySQL metrics
Once the Agent is installed, you need to grant it access to read metrics from your database. In short, this process has four steps:
The MySQL configuration tile in the Datadog app has the full instructions, including the exact SQL commands you need to run to create the
datadog user and apply the appropriate permissions.
Configure collection of additional MySQL metrics
Out of the box, Datadog collects more than 60 standard metrics from modern versions of MySQL. Definitions and measurement units for most of those standard metrics can be found here.
Starting with Datadog Agent version 5.7, many additional metrics are available by enabling specialized checks in the
conf.d/mysql.yaml file (see the configuration template for context):
# options: # replication: false # galera_cluster: false # extra_status_metrics: true # extra_innodb_metrics: true # extra_performance_metrics: true # schema_size_metrics: false # disable_innodb_metrics: false
To collect average statistics on query latency, as described in Part 1 of this series, you will need to enable the
extraperformancemetrics option and ensure that the performance schema is enabled. The Agent’s
datadog user in MySQL will also need the additional permissions detailed in the MySQL configuration instructions in the Datadog app.
Note that the
schemasizemetrics options trigger heavier queries against your database, so you may be subject to performance impacts if you enable those options on servers with a large number of schemas or tables. Therefore you may wish to test out these options on a limited basis before deploying them to production.
Other options include:
extra_status_metricsto expand the set of server status variables reported to Datadog
extra_innodb_metricsto collect more than 80 additional metrics specific to the InnoDB storage engine
replicationto collect basic metrics (such as replica lag) on MySQL replicas
To override default behavior for any of these optional checks, simply uncomment the relevant lines of the configuration file (along with the
options: line) and restart the agent.
The specific metrics associated with each option are detailed in the source code for the MySQL Agent check.
View your comprehensive MySQL dashboard
Once you have integrated Datadog with MySQL, a comprehensive dashboard called “MySQL - Overview” will appear in your list of integration dashboards. The dashboard gathers key MySQL metrics highlighted in Part 1 of this series, along with server resource metrics, such as CPU and I/O wait, which are invaluable for investigating performance issues.
Customize your dashboard
The Datadog Agent can also collect metrics from the rest of your infrastructure so that you can correlate your entire system’s performance with metrics from MySQL. The Agent collects metrics from Docker, NGINX, Redis, and more than 200 other applications and services. You can also easily instrument your own application code to report custom metrics to Datadog using StatsD.
To add more metrics from MySQL or related systems to your MySQL dashboard, simply clone the template dash by clicking on the gear in the upper right.
In this post we’ve walked you through integrating MySQL with Datadog so you can access all your database metrics in one place, whether standard metrics from MySQL, more detailed metrics from the InnoDB storage engine, or automatically computed metrics on query latency.
Monitoring MySQL with Datadog gives you critical visibility into what’s happening with your database and the applications that depend on it. You can easily create automated alerts on any metric, with triggers tailored precisely to your infrastructure and your usage patterns.
If you don’t yet have a Datadog account, you can sign up for a free trial to start monitoring all your servers, applications, and services today.