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https://issues.apache.org/jira/browse/OODT-1004?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16785961#comment-16785961
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KHAMAR ALI SHAIKH commented on OODT-1004:
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Hi [~imesha] [~bugg_tb] , i am a student presently studying at RV college of
engineering. I am interested in contributing via GSOC 2019. I have worked with
maven and brief knowledge about dockers . Also have deployed few web
applications with docker .
Please help me to proceed with contribution .
Thanks and Regard,
Khamar
> Make OODT deployment simple using docker and distributed configuration
> management
> ---------------------------------------------------------------------------------
>
> Key: OODT-1004
> URL: https://issues.apache.org/jira/browse/OODT-1004
> Project: OODT
> Issue Type: Improvement
> Components: file manager, resource manager, workflow manager
> Reporter: Imesha Sudasingha
> Priority: Major
> Labels: GSoC2019, gsoc2019
>
> As a step to make OODT deployment and management simple, major OODT
> components should be containerized including file manager, resource manager
> and workflow manager.
> * As a first step, each of those components should have it's own
> [docker|https://www.docker.com/] image building execution in the maven build.
> The [maven docker plugin|https://github.com/spotify/docker-maven-plugin] can
> be used to achieve this.
> * Then a suitable container management/orchestration tool should be used
> create a OODT deployment. [Docker Compose|https://docs.docker.com/compose/]
> can be used as the initial deployment tool.
> * Then the [OODT Distributed Configuration
> Management|https://cwiki.apache.org/confluence/display/OODT/OODT+Distributed+Configuration+Management]
> implementation can be integrated to the deployment to handle dynamic
> configuration management. This will provide the centralized ability to handle
> configuration of running OODT components on the fly.
> Technologies including Docker, Docker Compose and Maven will be required to
> carry out this project.
> As a later step, we can plan on upgrading the deployment to Kubernetes.
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