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From "Anu Engineer (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HDDS-829) Support cloud native Ozone deployment
Date Thu, 28 Feb 2019 21:43:00 GMT

     [ https://issues.apache.org/jira/browse/HDDS-829?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Anu Engineer updated HDDS-829:
------------------------------
    Sprint:   (was: HDDS BadLands)

> Support cloud native Ozone deployment
> -------------------------------------
>
>                 Key: HDDS-829
>                 URL: https://issues.apache.org/jira/browse/HDDS-829
>             Project: Hadoop Distributed Data Store
>          Issue Type: Improvement
>            Reporter: Elek, Marton
>            Assignee: Elek, Marton
>            Priority: Major
>
> I tested Ozone on kubernetes cluster, because:
>  * It makes easy to do tests which are scaled up and down (for example test 500 nodes
cluster)
>  * It makes very fast to deploy/undeploy newer versions
>  * It makes very easy to run the same cluster in multiple cloud environment.
>  * Long term it also could provide persistence store for any container/pod in the k8s
cluster
> Kubernetes also very popular and could be useful to provide an official guidance how
ozone could be started and started on k8s. 
> As of now we use base image from the flokkr project (chats: http://github.com/flokkr/charts,
base image: http://github.com/flokkr/docker-hadoop)
> In this issue I would like to collect the required steps to provide a simple way to start
Ozone cluster on kubernetes.
> What we need:
> 1. official apache/ozone:0.2.1, apache/ozone:0.3.0 docker images. (This is not a big
task as we have same for the apache/hadoop images. There is an existing pattern which could
be followed)
> 2. Create helm chart. (I have an example helm chart. It easier with the latest scm/om
initialization improvement, where the 'om --init' call could be executed even if we have the
files. We can make the chart be part of the official helm/stable repository sooner or later)
> 3. The biggest difference between the flokkr and apache base images that flokkr contains
logic to instrument the java processes for prometheus.
> This part downloads a jar file (based on https://github.com/elek/jmx_exporter) and uses
it as a java agent. This is a fork of the original jmx_exporter which doesn't support dynamic
jmx attachment.
> I believe that we need a simple monitoring solution to show the key numbers of a default
install but this approach may be to complex to adopt in the apache base image.
> As prometheus use a very simple text format to publish the metrics I propose to create
a new simple servlet to publish all hadoop metrics. It should be similar to this one: 
> https://github.com/prometheus/client_java/blob/master/simpleclient_common/src/main/java/io/prometheus/client/exporter/common/TextFormat.java
> But based on Hadoop metrics.
> Small independent change, could be done without any additional dependencies.
> 4. Other minor feature of the flokkr base image is the WAITFOR environment variable which
could be used to wait for a dependant service. (Could be used as a workaround -- for example
 -- until HDDS-776 is implemented). Can be handled with 8 lines of bash code
> After 1-4.) we can add documentation how ozone could be started in any k8s cluster.



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