Plugin: python.d.plugin Module: squid
This collector monitors statistics about the Squid Clients and Servers, like bandwidth and requests.
It collects metrics from the endpoint where Squid exposes its
This collector is supported on all platforms.
This collector supports collecting metrics from multiple instances of this integration, including remote instances.
By default, this collector will try to autodetect where Squid presents its
counters data, by trying various configurations.
The default configuration for this integration does not impose any limits on data collection.
The default configuration for this integration is not expected to impose a significant performance impact on the system.
Metrics grouped by scope.
The scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.
Per Squid instance
These metrics refer to each monitored Squid instance.
This scope has no labels.
|in, out, hits
|requests, hits, errors
There are no alerts configured by default for this integration.
Configure Squid's Cache Manager
Take a look at Squid's official documentation on how to configure access to the Cache Manager.
The configuration file name for this integration is
You can edit the configuration file using the
edit-config script from the
Netdata config directory.
cd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata
sudo ./edit-config python.d/squid.conf
There are 2 sections:
- Global variables
- One or more JOBS that can define multiple different instances to monitor.
The following options can be defined globally: priority, penalty, autodetection_retry, update_every, but can also be defined per JOB to override the global values.
Additionally, the following collapsed table contains all the options that can be configured inside a JOB definition.
Every configuration JOB starts with a
job_name value which will appear in the dashboard, unless a
name parameter is specified.
|Sets the default data collection frequency.
|Controls the order of charts at the netdata dashboard.
|Sets the job re-check interval in seconds.
|Indicates whether to apply penalty to update_every in case of failures.
|Job name. This value will overwrite the
job_name value. JOBS with the same name are mutually exclusive. Only one of them will be allowed running at any time. This allows autodetection to try several alternatives and pick the one that works.
|The host to connect to.
|The port to connect to.
|The URL to request from Squid.
A basic configuration example.
Note: When you define multiple jobs, their names must be unique.
Collecting metrics from local and remote instances.
To troubleshoot issues with the
squid collector, run the
python.d.plugin with the debug option enabled. The output
should give you clues as to why the collector isn't working.
Navigate to the
plugins.ddirectory, usually at
/usr/libexec/netdata/plugins.d/. If that's not the case on your system, open
netdata.confand look for the
Switch to the
sudo -u netdata -s
python.d.pluginto debug the collector:
./python.d.plugin squid debug trace
Do you have any feedback for this page? If so, you can open a new issue on our netdata/learn repository.