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Varnish Cache collector

Provides HTTP accelerator global, Backends (VBE) and Storages (SMF, SMA, MSE) statistics using varnishstat tool.

Note that both, Varnish-Cache (free and open source) and Varnish-Plus (Commercial/Enterprise version), are supported.


  • netdata user must be a member of the varnish group


This module produces the following charts:

  • Connections Statistics in connections/s
  • Client Requests in requests/s
  • All History Hit Rate Ratio in percent
  • Current Poll Hit Rate Ratio in percent
  • Expired Objects in expired/s
  • Least Recently Used Nuked Objects in nuked/s
  • Number Of Threads In All Pools in pools
  • Threads Statistics in threads/s
  • Current Queue Length in requests
  • Backend Connections Statistics in connections/s
  • Requests To The Backend in requests/s
  • ESI Statistics in problems/s
  • Memory Usage in MiB
  • Uptime in seconds

For every backend (VBE):

  • Backend Response Statistics in kilobits/s

For every storage (SMF, SMA, or MSE):

  • Storage Usage in KiB
  • Storage Allocated Objects


Edit the python.d/varnish.conf configuration file using edit-config from the Netdata config directory, which is typically at /etc/netdata.

cd /etc/netdata   # Replace this path with your Netdata config directory, if different
sudo ./edit-config python.d/varnish.conf

Only one parameter is supported:

instance_name: 'name'

The name of the varnishd instance to get logs from. If not specified, the host name is used.


To troubleshoot issues with the varnish module, run the python.d.plugin with the debug option enabled. The output will give you the output of the data collection job or error messages on why the collector isn't working.

First, navigate to your plugins directory, usually they are located under /usr/libexec/netdata/plugins.d/. If that's not the case on your system, open netdata.conf and look for the setting plugins directory. Once you're in the plugin's directory, switch to the netdata user.

cd /usr/libexec/netdata/plugins.d/
sudo su -s /bin/bash netdata

Now you can manually run the varnish module in debug mode:

./python.d.plugin varnish debug trace

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