Kubernetes pods using too much memory on larger machines
I am still kind of getting my feet under me with kubernetes. We have a spring-boot based app with ~17 microservices running on Kubernetes 1.4.2 on AWS. When I run this app on an AWS cluster of 4 m3.medium workers, my containers are all in the 200-300MB range of memory usage at rest (with a couple exceptions). For production I installed the same set of services on 4 m4.large workers and instantly my memory moved up to 700-1000MB of memory on the same containers with virtually identical specs. I am trying to figure out who is the offending party here – Springboot, Docker or Kubernetes.
Has anyone seen behavior like this before?
I know I can cap the resources using Kubernetes limits, but I really don’t want to do that given that I know the application can run just fine on smaller machines and have a smaller footprint. Just looking for some advice on where the problem might be.
EDIT: One more piece or pertinent information. I am using CoreOS stable 1298.6.0 as the host OS image.
One Solution collect form web for “Kubernetes pods using too much memory on larger machines”
In my opinion, the problem is that your processes inside the container see the total host RAM available as the RAM available for them.
If you use a bigger instance, the JVM will try to use even more RAM. You should try to limit your java virtual machine heap with -Xmx300m (adjust this value with what your app needs).
I recommend you to read this article where its explained in an easy and clean way.