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.
Requirements
netdata
user must be a member of thevarnish
group
Charts
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
Configuration
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.
Troubleshooting
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
Do you have any feedback for this page? If so, you can open a new issue on our netdata/learn repository.