Assign Memory Resources to Containers and Pods
What is a Pod?
A Pod (a group of sea mammals LOL) is a group of one or more containers (such as Docker containers), with shared storage/network, and a specification for how to run the containers. (即是一群搬運工人 - Docker!) A Pod’s contents are always co-located and co-scheduled, and run in a shared context. A Pod models an application-specific “logical host” - it contains one or more application containers which are relatively tightly coupled — in a pre-container world, being executed on the same physical or virtual machine would mean being executed on the same logical host.
Before you begin
If you are running Minikube, run the following command to enable the metrics-server:
minikube addons enable metrics-server
To see whether the metrics-server is running, or another provider of the resource metrics API (metrics.k8s.io
), run the following command:
kubectl get apiservices
If the resource metrics API is available, the output includes a reference to metrics.k8s.io
.
NAME
v1beta1.metrics.k8s.io
Create a namespace
Create a namespace so that the resources you create in this exercise are isolated from the rest of your cluster.
kubectl create namespace mem-example
Specify a memory request and a memory limit
To specify a memory request for a Container, include the resources:requests
field in the Container’s resource manifest. To specify a memory limit, include resources:limits
.
In this exercise, you create a Pod that has one Container. The Container has a memory request of 100 MiB and a memory limit of 200 MiB. Here’s the configuration file for the Pod( I changed a bit for becoming my version):
apiVersion: v1
kind: Pod
metadata:
name: syrus-memory-demo
namespace: syrusk8s
spec:
containers:
- name: syrus-demo-ctr
image: polinux/stress
resources:
limits:
memory: "200Mi"
requests:
memory: "100Mi"
command: ["stress"]
args: ["--vm", "1", "--vm-bytes", "150M", "--vm-hang", "1"]
The args
section in the configuration file provides arguments for the Container when it starts. The "--vm-bytes", "150M"
arguments tell the Container to attempt to allocate 150 MiB of memory.
Create the Pod(I created a file called 'share' on the root path and put the yaml inside it):
kubectl apply -f /share/memory-request-limit.yaml --namespace=syrusk8s
Verify that the Pod Container is running:
kubectl get pod syrus-memory-demo --namespace=syrusk8s
View detailed information about the Pod:
kubectl get pod memory-demo --output=yaml --namespace=mem-example
The output shows that the one Container in the Pod has a memory request of 100 MiB and a memory limit of 200 MiB.
...
resources:
limits:
memory: 200Mi
requests:
memory: 100Mi
...
Run kubectl top
to fetch the metrics for the pod:
kubectl top pod memory-demo --namespace=mem-example
The output shows that the Pod is using about 162,900,000 bytes of memory, which is about 150 MiB. This is greater than the Pod’s 100 MiB request, but within the Pod’s 200 MiB limit.
NAME CPU(cores) MEMORY(bytes)
memory-demo <something> 162856960
Delete your Pod:
kubectl delete pod memory-demo --namespace=mem-example
Exceed a Container’s memory limit
A Container can exceed its memory request if the Node has memory available. But a Container is not allowed to use more than its memory limit. If a Container allocates more memory than its limit, the Container becomes a candidate for termination. If the Container continues to consume memory beyond its limit, the Container is terminated. If a terminated Container can be restarted, the kubelet restarts it, as with any other type of runtime failure.
In this exercise, you create a Pod that attempts to allocate more memory than its limit. Here is the configuration file for a Pod that has one Container with a memory request of 50 MiB and a memory limit of 100 MiB:
apiVersion: v1
kind: Pod
metadata:
name: syrus-memory-demo-2
namespace: syrusk8s
spec:
containers:
- name: syrus-demo-2-ctr
image: polinux/stress
resources:
limits:
memory: "100Mi"
requests:
memory: "50Mi"
command: ["stress"]
args: ["--vm", "1", "--vm-bytes", "250M", "--vm-hang", "1"]
In the args
section of the configuration file, you can see that the Container will attempt to allocate 250 MiB of memory, which is well above the 100 MiB limit.
Create the Pod:
kubectl apply -f https://k8s.io/examples/pods/resource/memory-request-limit-2.yaml --namespace=mem-example
View detailed information about the Pod:
kubectl get pod memory-demo-2 --namespace=mem-example
At this point, the Container might be running or killed. Repeat the preceding command until the Container is killed:
NAME READY STATUS RESTARTS AGE
memory-demo-2 0/1 OOMKilled 1 24s
Get a more detailed view of the Container status:
kubectl get pod memory-demo-2 --output=yaml --namespace=mem-example
The output shows that the Container was killed because it is out of memory (OOM):
lastState:
terminated:
containerID: docker://65183c1877aaec2e8427bc95609cc52677a454b56fcb24340dbd22917c23b10f
exitCode: 137
finishedAt: 2017-06-20T20:52:19Z
reason: OOMKilled
startedAt: null
The Container in this exercise can be restarted, so the kubelet restarts it. Repeat this command several times to see that the Container is repeatedly killed and restarted:
kubectl get pod memory-demo-2 --namespace=mem-example
The output shows that the Container is killed, restarted, killed again, restarted again, and so on:
kubectl get pod memory-demo-2 --namespace=mem-example
NAME READY STATUS RESTARTS AGE
memory-demo-2 0/1 OOMKilled 1 37s
kubectl get pod memory-demo-2 --namespace=mem-example
NAME READY STATUS RESTARTS AGE
memory-demo-2 1/1 Running 2 40s
View detailed information about the Pod history:
kubectl describe pod memory-demo-2 --namespace=mem-example
The output shows that the Container starts and fails repeatedly:
... Normal Created Created container with id 66a3a20aa7980e61be4922780bf9d24d1a1d8b7395c09861225b0eba1b1f8511
... Warning BackOff Back-off restarting failed container
View detailed information about your cluster’s Nodes:
kubectl describe nodes
The output includes a record of the Container being killed because of an out-of-memory condition:
Warning OOMKilling Memory cgroup out of memory: Kill process 4481 (stress) score 1994 or sacrifice child
Delete your Pod:
kubectl delete pod memory-demo-2 --namespace=mem-example
Last updated
Was this helpful?