blockquote, div.yahoo_quoted { margin-left: 0 !important; border-left:1px
#715FFA solid !important; padding-left:1ex !important; background-color:white
!important; } You could also have something in your program that allocates
memory off java's heap. Here is a simplified program you can use to test:
https://github.com/areese/JavaOOM/blob/master/README.md
And slightly off topic, newer Jaca's have suppprt for recognizing the memory
limits of the container it is running
in:http://www.oracle.com/technetwork/java/javaseproducts/documentation/8u121-revision-builds-relnotes-3450732.html
EJ
Sent from Yahoo Mail for iPhone
On Tuesday, March 28, 2017, 9:56 AM, 'Tim Hockin' via Kubernetes user
discussion and Q&A <kubernetes-users@googlegroups.com> wrote:
Wild guess - something is looking at underlying OS or hardware info (e.g.
number of processors) and scalng memory or threads based on that.
On Mar 28, 2017 9:39 AM, "bg" <griffin...@gmail.com> wrote:
I have an image that is basic Java application. I'm trying to minimize the
amount of memory I submit the Job with in Kubernetes.
Using Java's -Xmx flag I limit the program to using 25MB of memory (-Xmx25m)
and using docker I run the container with 30M of memory: docker run -m 30m
<image_id>
That works fine so I go and deploy my image (including the -Xmx25m flag) to
Kubernetes as a Job with resource request of 30MB of memory and the pods keep
terminating with Reason: OOMKilled and Exit Code: 137.
So I start doubling the amount of memory requested: 64M, 128, 256, 512 until
finally the pods are successful at 512MB of memory!
So my question is why would a program that can run in docker with 30MB of
memory require 512MB of memory when submitted to a kubernetes cluster?
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