dune VS GoAccess

If you are using the dune build system, add the tag(s) to your dune-project file's package stanza. E.g.:

One way to get around this is to modify the api/dune file with (include_subdirs qualified); this means that every subdirectory of api/ can be referenced by module namespacing and we don't have to write dune files for every route (or pages) folder. However, the OCaml LSP does not like it and red squiggles will show up in the editor (although the app with still compile without errors). Trying to develop the app knowing those red squiggles cannot be vanquished would drive me nuts, so instead of using (include_subdirs qualified) I just wrote dune files for every route (and page) which gets rid of the red squiggles.

2) Neither would having all source/targets specified, as that would entail listing them all in the dune file as wildcard rules is apparently still not a thing: https://github.com/ocaml/dune/issues/307

There is a small example on the dune home page: https://dune.build/

Dune (https://dune.build/) is the preeminent build tool for OCaml development. I don't love its input syntax (s-expressions), and I sometimes miss the ability to write high-level functions to reduce boilerplate (especially for unit tests), but it always gets the dependencies right, and it's fast. This is in stark contrast to some of my experiences with various other build systems, and I am super happy that the default option for OCaml build systems is so good.

It's still weird because dune's own site only makes Jane Street references: https://dune.build/.

ONE of the big benefits of OCaml is its powerful REPL (also called the toplevel), the interactive command-line utility where you can load modules, type in and execute code, and see its results. The modern REPL, utop, has powerful auto-completion and integration with the build system dune, which enables productive workflows like loading an entire project's libraries in the REPL and interactively exploring them.

If one wants server-side metrics with a little more info than the author's "hacky little script", there's always goaccess [1], which functions in broadly the same way. I even use it with Firebase Hosting-hosted sites via [2] (which I wrote).

[1] http://goaccess.io/

[2] https://github.com/Silicon-Ally/gcp-clf

> Just use GoAcces for fuck's sake.

GoAccess seems pretty cool and is probably a good task for the job, when you need something simple, thanks for recommending it: https://goaccess.io/

Even if you have analytics of some sort already in place, I think it'd probably still be a nice idea to run GoAccess on your server, behind some additional auth, so you can check up on how the web servers are performing.

That said, I'd still say that the analytics solutions out there, especially self-hostable ones like Matomo, are quite nice and can have both UIs that are very easy to interact with for the average person (e.g. filtering data by date range, or by page/view that was interacted with), as well as have a plethora of different datasets: https://matomo.org/features/

I think it can be useful to have a look at what sorts of devices are mostly being used to interact with your site, what operating systems and browsers are in use, how people navigate through the site, where do they enter the site from and how they find it, what the front end performance is like, or even how your e-commerce site is doing, at a glance, in addition to seeing how this changes over time.

People have also said good things about Plausible Analytics as well: https://plausible.io/

Maybe, if it's just local and need just information, maybe https://goaccess.io is an option.

I run goaccess on a cron job and have paired it with a MaxMind GeoIP database so that you can see where people are coming from etc.

https://goaccess.io/

file on GitHub.

There is small programm for linux https://goaccess.io/

I heard about https://goaccess.io/ (and even tested it) but first, nothing about tracing logs, and I think that the provided HTML dashboard isn't enough security-oriented for me but it's more about monitoring your customer volume... It does -partially- fit my case.

Loved AWStats! Still can be useful — but bots, client side caching, CDNs, and did I mention bots..? have made the data hard to rely on for much. A while ago I switched from AWStats to GoAccess (https://goaccess.io/) for this kind of thing. I prefer its interface, and it's way way faster to churn through big log files (C vs. Perl).

matomo and goatcounter are nice, but there are even solutions which don't need any extra CPU or any extra client request:

• https://goaccess.io/

• https://www.awstats.org/

Both of them are free/open-source.

GoAccess is a powerful web log analyzer that generates real-time web traffic statistics.