9/18/2023 0 Comments Piwik nginx php fpm![]() The first step was installing PHP (yuck!) – most people may already have that set up, I didn’t. I’m also using a fairly old version of Ubuntu there – 14.04, which is the oldest currently supported LTS, which means some of the packages I need are in too old versions in the standard repository… So some changes might be needed on newer releases, but most things should probably work just fine. I’ll try to list both versions for most steps here. On the other hand, each thing just takes much more time, since for each step I need to find the right Ansible command and options instead of just running a command following the instructions. This has the advantage that I feel pretty confident that I know exactly what was done where and why, and that I can repeat it again at any time. I’ve been using Ansible for configuring this current server since the beginning. It eventually took much more time than I planned (and that I’d like to admit), partly because of my specific setup, partly just because of my own personal requirements and the perfectionist approach… So I wrote down all the steps just in case I need to come back to this again later, and I’m sharing it with the hope that it will save someone else some time. ![]() I found Piwik (now Matomo), which is a self-hosted analytics service, a couple of years ago – but I didn’t have time to research it properly and set it up on my server until now. Showing one of those idiotic “cookie banners” obviously isn’t an option since I’ve devoted so much time and energy fighting them, and I don’t think there’s a single person who actually wants to read them, but still, am I breaking some laws by not having one? I really don’t want to think about this. However, in the recent years, with the EU cookie law first and now GDPR, I started thinking about using something that allows me more control over the data and lets me avoid the dilemma of what kind of disclaimers I’m technically supposed to show on my site. ![]() ![]() The difference was mostly the friendliness and readability of the UI. I don’t really need any complex functionality – just show me the number of visits in a given period, which pages were popular, what parts of the world people come from, what browsers/devices they use, and who links to me – so I was mostly satisfied with these products. I’ve used several website analytics services over the years, including Statcounter, W3Counter, Clicky and Gauges (Google Analytics always seemed kind of too complicated and pro-focused for me). ![]()
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