churromorales commented on code in PR #13156:
URL: https://github.com/apache/druid/pull/13156#discussion_r995005949


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docs/development/extensions-contrib/k8s-jobs.md:
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+---
+id: k8s-jobs
+title: "MM-less Druid in K8s"
+---
+
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+
+Consider this an [EXPERIMENTAL](../experimental.md) feature mostly because it 
has not been tested yet on a wide variety of long-running Druid clusters.
+
+Apache Druid Extension to enable using Kubernetes for launching and managing 
tasks instead of the Middle Managers.  This extension allows you to launch 
tasks as K8s jobs removing the need for your middle manager.  
+
+## How it works
+
+It takes the podSpec of your `Overlord` pod and creates a kubernetes job from 
this podSpec.  Thus if you have sidecars such as splunk, hubble, istio it can 
optionally launch a task as a k8s job.  All jobs are natively restorable, they 
are decopled from the druid deployment, thus restarting pods or doing upgrades 
has no affect on tasks in flight.  They will continue to run and when the 
overlord comes back up it will start tracking them again.  
+
+## Configuration
+
+To use this extension please make sure to  
[include](../extensions.md#loading-extensions)`druid-kubernetes-overlord-extensions`
 in the extensions load list for your overlord process.
+
+The extension uses the task queue to limit how many concurrent tasks (k8s 
jobs) are in flight so it is required you have a reasonable value for 
`druid.indexer.queue.maxSize`.  Additionally set the variable 
`druid.indexer.runner.namespace` to the namespace in which you are running 
druid.

Review Comment:
   So this one was a tricky one.  Some users have quotas setup for their 
namespace while others do not.  Quotas such as how many jobs can i have 
concurrently running.  I believe if you do this, you will just have unscheduled 
pods while resources are not available and then when they become available they 
will launch.  If you use aws, you could perhaps tie in the autoscaler and have 
some logic stating if i have x amount of pods unscheduled then scale up ec2 
instances.  And scale down the same with the reverse logic, if I have ec2 
instances not using resources, scale things down. 
   
   To answer your question, yes we should always ask users to set `maxSize` 
less than the k8s capacity, unless they have autoscaling configured.  In that 
case its up to the user to determine what they can potentially scale up to. 



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