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https://issues.apache.org/jira/browse/SOLR-9735?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16170464#comment-16170464
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Shalin Shekhar Mangar commented on SOLR-9735:
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There are a good chunk of features that have accumulated in the
feature/autoscaling branch. I am going to review the remaining nocommits and
tests so that we can merge this branch to master. I'll hold off merging to
branch_7x until we can finish SOLR-11085.
We have another branch named feature/autoscaling_72 which contains features
that we plan to release in 7.2. Once autoscaling branch is merged to master, we
can get rid of autoscaling_72 and continue further development on the
autoscaling branch itself.
> Umbrella JIRA for Auto Scaling and Cluster Management in SolrCloud
> ------------------------------------------------------------------
>
> Key: SOLR-9735
> URL: https://issues.apache.org/jira/browse/SOLR-9735
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Reporter: Anshum Gupta
> Assignee: Shalin Shekhar Mangar
> Original Estimate: 1,344h
> Remaining Estimate: 1,344h
>
> As SolrCloud is now used at fairly large scale, most users end up writing
> their own cluster management tools. We should have a framework for cluster
> management in Solr.
> In a discussion with [~noble.paul], we outlined the following steps w.r.t.
> the approach to having this implemented:
> * *Basic API* calls for cluster management e.g. utilize added nodes, remove a
> node etc. These calls would need explicit invocation by the users to begin
> with. It would also specify the {{strategy}} to use. For instance I can have
> a strategy called {{optimizeCoreCount}} which would target to have an even
> no:of cores in each node . The strategy could optionally take parameters as
> well
> * *Metrics* and stats tracking e.g. qps, etc. These would be required for any
> advanced cluster management tasks e.g. *maintain a qps of 'x'* by
> *auto-adding a replica* (using a recipe) etc. We would need
> collection/shard/node level views of metrics for this.
> * *Recipes*: combination of multiple sequential/parallel API calls based on
> rules. This would be complicated specially as most of these would be long
> running series of tasks which would either have to be rolled back or resumed
> in case of a failure.
> * *Event based triggers* that would not require explicit cluster management
> calls for end users.
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