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https://issues.apache.org/jira/browse/HDDS-1972?focusedWorklogId=296155&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-296155
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ASF GitHub Bot logged work on HDDS-1972:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 16/Aug/19 08:50
            Start Date: 16/Aug/19 08:50
    Worklog Time Spent: 10m 
      Work Description: adoroszlai commented on pull request #1304: HDDS-1972. 
Provide example ha proxy with multiple s3 servers back end.
URL: https://github.com/apache/hadoop/pull/1304#discussion_r314612036
 
 

 ##########
 File path: 
hadoop-ozone/dist/src/main/compose/ozones3-haproxy/haproxy-conf/haproxy.cfg
 ##########
 @@ -0,0 +1,22 @@
+# Simple configuration for an HTTP proxy listening on port 5001 on all
+# interfaces and forwarding requests to a multiple multiple S3 servers in round
+# robin fashion.
+global
+    daemon
+    maxconn 256
+
+defaults
+    mode http
+    timeout connect 5000ms
+    timeout client 50000ms
+    timeout server 50000ms
+
+frontend http-in
+    bind *:5001
 
 Review comment:
   ```suggestion
       bind *:9878
   ```
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 296155)
    Time Spent: 0.5h  (was: 20m)

> Provide example ha proxy with multiple s3 servers back end.
> -----------------------------------------------------------
>
>                 Key: HDDS-1972
>                 URL: https://issues.apache.org/jira/browse/HDDS-1972
>             Project: Hadoop Distributed Data Store
>          Issue Type: New Feature
>            Reporter: Bharat Viswanadham
>            Assignee: Bharat Viswanadham
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> In this Jira, we shall provide docker-compose files where we start 3 s3 
> gateway servers, and ha-proxy is used to load balance these S3 Gateway 
> Servers.
>  
> In this Jira, all are proxy configurations are hardcoded, we can make 
> improvements to scale and automatically configure with environment variables 
> as a future improvement. This is just a starter example.
>  



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