Use Prometheus for storing and querying the metrics instead of SQLite

Author: emasab

stats-dashboard/Dockerfile

@@ -4,11 +4,11 @@ This Grafana dashboard allows to show metrics created from a series of librdkafk
 
 Every line that looks like a librdkafka stats JSON is parsed and the corresponding metrics are put into a SQLite DB.
 
+From there the metrics are ingested into VictoriaMetrics to be queried with PromQL.
+
 Then a Grafana instance is started with a dashboard that queries those metrics, as soon as it's started the corresponding dashboard url
 is opened.
 
-> **_NOTE:_**  The dashboard uses the SQLite plugin for Grafana, later it can be modified to use PromQL and be reused for real time monitoring.
-
 > **_NOTE:_**  When mixing stats from different processes the instance name can be the same. To differentiate them, one can put in the same line a process id enclosed by the `####` separator e.g.: `####process 1####`.
 
 Default password is `librdkafka:librdkafka`
@@ -20,16 +20,18 @@ Default password is `librdkafka:librdkafka`
 
 ## How to run
 
-1. Generate the DB
+1. In a virtual environment install the dependencies with `pip install -r requirements.txt`
+
+2. Generate the DB and open the dashboard
 
 ```
-./run.sh <text_file_to_parse.log>
+./run.py <text_file_to_parse.log>
 ```
 
 2. Later checks
 
 ```
-./run.sh
+./run.py
 ```
 
 ## Preview

stats-dashboard/README.md

@@ -27,7 +27,7 @@
 ;plugins = /var/lib/grafana/plugins
 
 # folder that contains provisioning config files that grafana will apply on startup and while running.
-;provisioning = conf/provisioning
+provisioning = /usr/share/grafana/conf/provisioning
 
 #################################### Server ####################################
 [server]