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long netbox page load time #5312
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opened 2025-12-29 19:26:32 +01:00 by adam
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Reference: starred/netbox#5312
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Originally created by @sgelineau17 on GitHub (Sep 3, 2021).
NetBox version
v3.0.1
Python version
3.9
Steps to Reproduce
Compared Netbox in version 2.11.12 versus version 3.0.1
Expected Behavior
Optimisation
Observed Behavior
Hello,
I have a Netbox server in production which is in version 2.11.12. I also have a qualifying Netbox server which is in version 3.0.1. The qualification server is a production copy, it has just been updated, the characteristics of the VM are identical.
Version 3.0.1 is much longer to find than version 2.11.12.
Both servers are on a fully up-to-date CentOS 8 basis.
The production Netbox server runs Python in version 3.7 and the production Python 3.9 server.
I give you screenshots of a loading of the Prefixes tab with the debug on the network tab.
@DanSheps commented on GitHub (Sep 3, 2021):
Testing on internal test instances, I see a lower load time on v3 then on v2 for the prefixes with a larger number of prefixes.
Could you provide more information? I see 572 prefixes listed on the v3 instance but no prefixes are displayed, likewise the v2 instance has no prefixes displayed.
Can you provide the following information for each instance:
These all can have an impact on load times.
@Sislik commented on GitHub (Sep 3, 2021):
Netbox 3.0.1 python 3.9, centos 7 loading 63547 IPs (DB size is 260 MB)

Netbox 2.10.4 python 3.6, centos 7 loading 63547 IPs (DB size is 769 MB)

same DB backend servers, upgraded clone of web server. In generic the 3.0 is way faster than older version and upgrade reduced the DB size quite a lot.
@jeremystretch commented on GitHub (Sep 3, 2021):
Let's take a few steps back here. Pasting screenshots from your browser is not going to work. You're also randomly using v2.10.4 above whereas your initial report was for v2.11.12.
First, you need to set up two instances of NetBox (one running v2.11.12 and one running v3.0.1) with the same exact data and configuration. This is crucial to identifying a reliable baseline.
Then, once those have been set up, you'll need to use a tool like
curlto make the actual HTTP requests. There are myriad factors which may impact the performance of a general purpose web browser, and we need to isolate as many of those as possible.curlworks great for this because it's a very low-level tool, and we can call it withtimeto get exact measurements. For example:It's best to run each request a number of times and take the average. Then you can compare measurements between the two installations.
@Sislik commented on GitHub (Sep 3, 2021):
@jeremystretch I'm different user :) so there is just original post and my example, that there is no issue on 3.0.1 and it is way faster in my case with same test he did :)
@jeremystretch commented on GitHub (Sep 14, 2021):
Closing as there has been no further response from the poster.