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https://issues.apache.org/jira/browse/HDDS-143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16498650#comment-16498650
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Anu Engineer commented on HDDS-143:
-----------------------------------
[~elek] This is awesome. Love it. I will commit this shortly, I just ran it on
my dev box and it amazing to have prometheus running along with ozone even when
we do dev work. Two minor comments:
# On my mac box, I had to execute chmod +x on init.sh and compose-all.sh.
# Running compose-all.sh did not run "freon". Thought a container called freon
came up. I had to log into a datanode and run freon by hand to get it working.
Could be some race condition.
# Once I ran freon but OM UI and prometheus worked as expected.
> Provide docker compose files to measure performance in a pseudo cluster
> -----------------------------------------------------------------------
>
> Key: HDDS-143
> URL: https://issues.apache.org/jira/browse/HDDS-143
> Project: Hadoop Distributed Data Store
> Issue Type: Improvement
> Components: Tools
> Reporter: Elek, Marton
> Assignee: Elek, Marton
> Priority: Major
> Fix For: 0.2.1
>
> Attachments: HDDS-143.002.patch, prometheus_example.png
>
>
> Currently we have one docker-compose file to run local pseudo cluster with
> Ozone/HDDS. But it's hard to do longer performance tests as we have no
> metrics collector in the compose files.
> This patch provide a simple solution: it includes a prometheus server and a
> consul component. With the init script you can download the required java
> agent: the agent will publish jmx metrics on a prometheus compatible endpoint
> and register the metrics endpoint in the consul. Prometheus collects the data
> from the registered endpoints.
> More details about the usage are included in the README.md.
> I run this cluster in my development machine (SSD, 16G ram) with one freon
> and 3 datanodes. The average rate of key creation was around 180-220 key /
> seconds.
> The compose file could also help to check the available metrics or compare
> performance before/after a patch.
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