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Create Jaw-Dropping Dashboards Using Grafana (on a Raspberry Pi!)

GrafanaRecently, my family acquired a gecko.

A crested gecko, to be specific.  Our little guy started life as a classroom pet.  He came in a rather sad, small Walmart Pet Department-level terrarium.  We set out to create a lavish new jungle habitat for him, and he will soon be moving into this splendid home.

His name is Echo.  His new home will be named, naturally, the Echo Chamber.

Crested geckos have relatively tight temperature and humidity ranges.  The previous terrarium had an analog digital meter on a suction cup but we decided to geek out on the new setup.  I’ve got a Raspberry Pi (an old model 3) with a DHT22 probe in the terrarium taking temperature and humidity measurements every 5 seconds.

Each reading is dumped into a Postgresql database, using the AdaFruit DHT22 driver.  This code is easily googleable/bingable/duckable so I won’t bother pasting it here.  But this was the first time I’ve really worked with Grafana, and it’s been a lot of fun.

Chiefly, this has been because Grafana is astonishingly easy to use.  After a simple install (adding the Grafana repo and using apt to instal grafana-server), I started the server, logged in, and began creating my first dashboard.  No .conf file to start with and I never did look at any documentation.  Starting from zero knowledge other than the name of the product, this took me less than an hour to create:

Grafana Example

It’s astonishing how simple this is in Grafana. After entering my Postgresql DB credentials, Grafana did all the heavy lifting of selecting data.

The above is a simple dashboard with four panels.  The bottom two are simple time series graphs, and these were very easy to create.  There is a rich palette of options, but even out of the box the defaults make a perfectly serviceable graph.  The top two panels are gauges and were also simple to configure, with custom warning thresholds.  This is a desktop screenshot but Grafana is very mobile-friendly.

It’s also quite pleasantly Raspberry Pi-friendly.  Even if everyone in the house is simultaneously watching it in on separate devices, the Pi is only using about 100-120MB of RAM.  That’s Postgres, NGINX, Grafana, the poller (a Python script), and normal background services.

I’m just scratching the surface here with Grafana – for example, we’re going to be setting up monitoring and alerts using the platform as well.  It’s a fun product, incredibly easy to use, and produces awesome dashboards.  Check it out!

 

 

 

1 Comment

  1. Susan:

    Perfect. If you can get kids involved in real life activities, you are making the world a better place for all.

    September 4, 2022 @ 12:40 am | Reply

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