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Deploying AEM to Cloud Foundry

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Level 1

Wondering if someone maneged to deploy AEM to cloud foundry type of cloud?

I've maxed out on memory for a given instance

       Memory Settings: -XX:MaxMetaspaceSize=838860K -Xms6G -XX:MetaspaceSize=838860K -Xss1M -Xmx6G 

but still getting

ERR Low-memory action set to fork ERR Using 64bit VM settings, min.heap=1024MB, min permgen=256MB, default fork arguments=[-Xmx1024m, -XX:MaxPermSize=256m] ERR The JVM reports a heap size of 5888 MB, meets our expectation of 1024 MB +/- 20 ERR No console, will fork to get enough memory ERR Preparing to fork JVM, OS name=Linux, isWindows=false ERR Forking JVM: [/home/vcap/app/.java-buildpack/open_jdk_jre/bin/java, -Xmx1024m, -XX:MaxPermSize=256m, -jar, /home/vcap/app/, -nofork, -pt, CHILD] ERR Forked JVM process exited with exit code 1 ERR Main JVM process exiting ERR IOException in StreamCopyThread.run ERR IOException in StreamCopyThread.run ERR java.io.IOException: Stream closed OUT java.io.IOException: Stream closed OUT    at java.io.BufferedInputStream.getBufIfOpen(BufferedInputStream.java:170) OUT    at java.io.BufferedInputStream.read(BufferedInputStream.java:336) OUT    at sun.nio.cs.StreamDecoder.readBytes(StreamDecoder.java:284) OUT    at sun.nio.cs.StreamDecoder.implRead(StreamDecoder.java:326) OUT    at sun.nio.cs.StreamDecoder.read(StreamDecoder.java:178) OUT    at java.io.InputStreamReader.read(InputStreamReader.java:184) OUT    at java.io.BufferedReader.fill(BufferedReader.java:161) OUT    at java.io.BufferedReader.readLine(BufferedReader.java:324) OUT    at java.io.BufferedReader.readLine(BufferedReader.java:389) OUT    at com.adobe.granite.quickstart.base.impl.exec.StreamCopyThread.run(StreamCopyThread.java:46) ERR    at java.io.BufferedInputStream.getBufIfOpen(BufferedInputStream.java:170) ERR    at java.io.BufferedInputStream.read(BufferedInputStream.java:336) ERR    at sun.nio.cs.StreamDecoder.readBytes(StreamDecoder.java:284) ERR    at sun.nio.cs.StreamDecoder.implRead(StreamDecoder.java:326) ERR    at sun.nio.cs.StreamDecoder.read(StreamDecoder.java:178) ERR    at java.io.InputStreamReader.read(InputStreamReader.java:184) ERR    at java.io.BufferedReader.fill(BufferedReader.java:161) ERR    at java.io.BufferedReader.readLine(BufferedReader.java:324) ERR    at java.io.BufferedReader.readLine(BufferedReader.java:389) ERR    at com.adobe.granite.quickstart.base.impl.exec.StreamCopyThread.run(StreamCopyThread.java:46) ERR MAIN process: shutdown hook ERR MAIN process: exiting

 

Has anyone managed to solve it ?

4 Replies

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Level 10

How much RAM does the server have on which you deployed AEM? 

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Level 1

kautuksahni wrote...

Hi 

Please share the RAM size, if machine is 32 or 64 bit ?

Reference Forum posts:- 

Link:-  http://help-forums.adobe.com/content/adobeforums/en/experience-manager-forum/adobe-experience-manage...

Link:- http://help-forums.adobe.com/content/adobeforums/en/experience-manager-forum/adobe-experience-manage...

Doc Link:- https://docs.adobe.com/content/docs/en/cq/5-6-1/getting_started/download_and_startworking.html#Insta... an Author Instance (Diff commands for 32 and 64 bit)

 

Thanks and Regards

Kautuk Sahni

 

 


It's 64bit

 Using 64bit VM settings

It has 8GB memory available on this container.

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Employee

Hi,

so yo have 8GB in total and you are allocating 6GB to AEM? I usually go with 50% of memory allocated to the AEM.

It really depends on what you are using this instance for to decide how much total and allocated RAM you need, the more RAM you have the better, as AEM can then run the repository in memory. Remember that AEM now utilises memory mapping[0].  If I had 16GB memory on my machine I'd maybe start 6-8 and see how things run. If I had more than 16GB, I still wouldn't go above 8-12GB.

Are you doing any DAM ingestion?As you need to have an adequate temp drive setup[1]

Regards,

Opkar

[0] http://www.terrabeata.com/2015/03/think-outside-the-heap-with-aem-6-and-jackrabbit-oak-tarmk/   

[1] http://cq-ops.tumblr.com/post/122108616399/the-importance-of-javaiotmpdir-in-dam-asset