Privacy Conscious Web Logs

Published by Bill on

Anyone looking for statistics on their blog will find themselves pushed towards the big names in web analytics. In return for statistics, you are encouraged, if not required, to gather more information about your readers than strictly necessary. Even if you gather statistics from your server logs, you are almost certainly logging unnecessary information about visitors. It doesn’t have to be this way.

I’ve been attempting to revive my blog recently and wanted some insight into the posts I’ve published. Inspired by Laura Kalbag’s commitment not to track her readers (see “I don’t track you”), I wondered if I could achieve the same results with my Nginx hosted blog.

The statistics I hope to see are:

  • Popular posts
  • Popular referrers
  • Requests for missing pages

This is a typical log entry for requests received by Nginx. - - [17/May/2015:08:05:04 +0000] "GET /downloads/product_1 HTTP/1.1" 304 0 "-" "Debian APT-HTTP/1.3 (0.8.16~exp12ubuntu10.16)"

This sample log entry contains all the information I need to produce the statistics I’m after. Unfortunately, it contains information I don’t need. I don’t need your IP address or your browser User-Agent for example.

If I strip this back to only the information I need (and convert to JSON), I end up with the following. Gone is anything that might attribute this request to an individual.

  "time_local":"31/Mar/2020:09:53:02 +0000",

Implementing this in Nginx requires a custom log format. I define this in nginx.conf. On Ubuntu, this lives in /etc/nginx/nginx.conf by default.

log_format minimal_json escape=json

The server configuration needs to be updated to use this log format for the access_log.

access_log /var/log/nginx/ minimal_json;

One downside to removing the IP address from your log messages is that you can no longer use popular log analytic packages such as GoAccess. These require the IP address to be present to compile their reports. Ultimately I built a log file analyser to aggregate the statics I want.

Sample blog statistics

If you have a different approach to privacy-conscious web analytics, I’d love to hear from you. How do you draw the line between feedback and privacy?