You can configure grafana without gui. That explain in https://grafana.com/docs/grafana/latest/administration/provisioning/
this post was submitted on 30 Jul 2023
17 points (87.0% liked)
Selfhosted
40347 readers
551 users here now
A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.
Rules:
-
Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.
-
No spam posting.
-
Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.
-
Don't duplicate the full text of your blog or github here. Just post the link for folks to click.
-
Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).
-
No trolling.
Resources:
- selfh.st Newsletter and index of selfhosted software and apps
- awesome-selfhosted software
- awesome-sysadmin resources
- Self-Hosted Podcast from Jupiter Broadcasting
Any issues on the community? Report it using the report flag.
Questions? DM the mods!
founded 1 year ago
MODERATORS
To be precise, the page explains how to configure some things and how to upload the config. I also tried that.
The problem is in the dashboard jsons. They are not well documented (docs on specific plots are missing), and are a pain to edit (as any json).
The grafanalib tool I mentioned tries to help with that by implementing a sort of DSL for dashboards, but it is not ideal.
(edit: lost a word)
You can create graph on the UI and then export to json. To be honest, it's hard for me to imagine a situation where graphs need to be edited so often. After all, there are excellent template engines in Grafana itself. For quick look anyone can use Explore panel. Maybe I don't have so much data...
create graph on the UI
that's something I want to avoid
hard for me to imagine a situation where graphs need to be edited so often
the whole system is under development (trying new views, changing how the data is represented, etc), so I don't need to imagine it, I have it right in front of me ;)
I use grafanalib. I have a script that generates the dashboards depending on given parameters, then I store generated JSON as a k8s configmap that's mounted into the directory that's checked by grafana on startup. Might not be everyone's cup of tea but it is good enough for me.
Did you ever notice that grafanalib is noticeable behind grafana itself?
That's something that turned me off it, but I wonder if it was a one-time situation because of some major change in grafana...
I think you've just used a deprecated widget. I didn't notice any incompatibility, maybe there's some for beta widgets but otherwise all features I needed were there.
It still has the limitations of JSON churn, but I find jsonnet to be a nice functional-style DSL in which to write grafana dashboards.
Shiny is pretty good. You can do interactive sliders to filter date ranges in that, and you control what happens when you slide it in the code. It's not as slick as grafana though.
One downside is it started off as an R package then got ported to python, so most resources are for R. Fine for me because I know R, but most people don't.
Here's the python link: https://shiny.rstudio.com/py/
This might be actually it (or at least one of the "competitor" projects they mention in the docs), thanks! Just need to figure out how to do a nice grid layout of the graphs.
I know R a liiiitle bit, so that may help too =)
Depending on what you’re comfortable with (and whether you want to integrate it with something else), maybe take a look at Altair? Especially nice is the declarative syntax of Vega-Altair.
Something like that, where I just write a function that spits out a numpy array or something like that and it gets plotted, would be great, but there is one thing Grafana can do and vega-altair, plotly and even matplotlib (*): a UI that allows to select a time interval to view.
So I can freely pan/zoom in/out in time, and only the required part of the data will be loaded (with something like select ... where time between X and Y under the hood). So if I look at a single day, it will only load that day, and only if I dare to zoom out too much it will spend some time loading everything from the last year.
(*) yes, you can do interactive things with matplotlib, but you don't really want to, unless you must...
view more: next ›