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 counters
data.
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.
These metrics refer to each monitored Squid instance.
This scope has no labels.
Metrics:
Metric | Dimensions | Unit |
---|---|---|
squid.clients_net | in, out, hits | kilobits/s |
squid.clients_requests | requests, hits, errors | requests/s |
squid.servers_net | in, out | kilobits/s |
squid.servers_requests | requests, errors | requests/s |
There are no alerts configured by default for this integration.
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 python.d/squid.conf
.
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:
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.
A basic configuration example.
example_job_name:
name: 'local'
host: 'localhost'
port: 3128
request: 'cache_object://localhost:3128/counters'
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.d
directory, usually at /usr/libexec/netdata/plugins.d/
. If that's not the case on
your system, open netdata.conf
and look for the plugins
setting under [directories]
.
cd /usr/libexec/netdata/plugins.d/
Switch to the netdata
user.
sudo -u netdata -s
Run the python.d.plugin
to debug the collector:
./python.d.plugin squid debug trace