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From GitBox <...@apache.org>
Subject [GitHub] [incubator-yunikorn-core] wilfred-s commented on a change in pull request #106: YUNIKORN-41
Date Fri, 20 Mar 2020 01:50:02 GMT
wilfred-s commented on a change in pull request #106: YUNIKORN-41
URL: https://github.com/apache/incubator-yunikorn-core/pull/106#discussion_r395407292
 
 

 ##########
 File path: README.md
 ##########
 @@ -40,9 +47,52 @@ Here are some key features of YuniKorn.
 - Customized resource types (like GPU) scheduling support.
 - Rich placement constraints support.
 - Automatically map incoming container requests to queues by policies. 
-- Node partition: partition cluster to sub-clusters with dedicated quota/ACL management.

+- Node partition: partition cluster to sub-clusters with dedicated quota/ACL management.
+
+### Integration with K8s:
+
+`yunikorn-k8shim` nicely integrated with K8s, supported features like: 
+
+- _Predicates:_ All kinds of predicates such as node-selector, pod affinity/anti-affinity,
taint/tolerant, etc.
+- _Persistent volumes:_ We have verified hostpath, EBS, NFS, etc. 
+- _K8s namespace awareness:_ YuniKorn support hierarchical of queues, does it mean you need
to give up K8s namespace? Answer is no, by default YuniKorn fully support automatically
+ map K8s
+ namespaces to YuniKorn queues. All Namespace related ResourceQuota, permissions will be
still valid.
+- _Metrics:_ Prometheus, Grafana integration.
+- _Cluster AutoScaler_: YuniKorn can nicely work with Cluster AutoScaler (https://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler)
to drive cluster scales up and down.
+- _K8s Events_: YuniKorn also integrated with K8s events, so lots of information can be retrieved
by using `kubectl describe pod`.
+
+#### Performance testing
+We love high-performance software, and we made tremendous efforts to make it to support large
scale cluster and high-churning tasks. 
+Here's [Performance Test Result](docs/evaluate-perf-function-with-Kubemark.md) 
+
+#### Deployment model
+Yunikorn can be deployed as a K8s custom scheduler, and take over all POD scheduling. Or,
YuniKorn can be deploy together with K8s default scheduler and take over
+ subset of nodes.
+ 
+#### Verified K8s versions 
+
+| K8s Version   | Support?  |
+| ------------- |:-------------:|
+| 1.12.x (or earlier) | X |
+| 1.13.x | √ |
 
 Review comment:
   Are we sure I thought we had moved to 1.14 a long time ago and cannot remember the last
time we have used the 1.13 libs for a build

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