turnkey sounds good... but with a set of scripts, config files and steps
to get to final result, docker would just be an option.
--Udo
On 1/11/17 08:05, Jens Deppe wrote:
This is fantastic work! I did something with the same components for a
hackday last year and it looked very promising - it's great to see it fully
realized here. Although it's not difficult pulling the components together,
it would be awesome to provide a turnkey (ala docker) solution that Just
Works.
Even better is that you've included a statistics-to-grafana bridge.
--Jens
On Wed, Jan 11, 2017 at 3:42 AM, Christian Tzolov <ctzo...@pivotal.io>
wrote:
I've been experimenting with Geode-to-Grafana integration options. The
geode-dashboard (https://github.com/tzolov/geode-dashboard) project uses
Grafana dashboards for querying, visualizing and analysing Apache Geode
(GemFire) historical and real-time metrics and statistics.
An important goal was to provides an unified stack that can analyze BOTH
the real-time (JMX metrics) and the historical (archive files) Geode
distributed-system statistics.
The github documentation and the blogs below should explain the approach:
https://www.linkedin.com/pulse/visualize-analyse-
apache-geode-gemfire-real-time-metrics-tzolov
http://blog.tzolov.net/2017/01/visualize-and-analyse-
apache-geode.html?view=sidebar
At the moment the tool uses InfluxDB as a time-series DB.But i've been
considering adding support for Ambari Metrics Collector System as an
alternative time-series DB. Later is supported by Grafana (
https://grafana.net/plugins/praj-ams-datasource) and Ambari in-turn
integrates with Grafana (http://bit.ly/2j34aIX). So if we add to the mix
the Geode Ambari service (http://bit.ly/2jd0MbS) It will make a decent
Hadoop friendly stack for Geode/Gemfire.
Another even more interesting angle is to make Geode itself a Grafana
compliant datasource (http://docs.grafana.org/plugins/datasources,
https://grafana.net/plugins). So
Do you think it would be worth bringing part of this work under Geode
project umbrella?
Cheers,
Christian
P.S. Note that this project focus on Geode metrics only but similar
approach can be used to explore business time-series.
