I'm trying to achieve the same style of heat map as this post.
I'm trying to follow the advice in this post, but seem to be missing something.
My data is already counted , so i don't need kibana to do counts for me.
Maybe i'm thinking too much in relational tables, spreadsheets.
I'm ingesting "rows", that have a timestamp field and multiple fields that are floats that are already counts.
I'd like a heat map that has a row for each field that is already counted before ingest by logstash, and my timestamps across the bottom. I would set colors based on my incoming counts.
For example, the data coming in could be failure counts at each station. I'd like a heat map as follows:
Station1 2 0 0 1
Station2 0 0 0 4
Station3 4 5 9 8
11:00h 12:00h 13:00h 14:00h
with ingest data being timestamped csv rows like:
The 11:00 Logstash ingest would be:
"Station1" => 2.0
"Station2" => 0.0
"Station3" => 4.0
Please let me know if this is possible, maybe give some more hints, or pointers to samples, etc.
Everything I've seen in documentation, videos seems to start with kibana counting raw events, but i've already counted the events. My endpoints have smarts, have already done one level of data summation.