Black lives matter.
We stand in solidarity with the Black community.
Racism is unacceptable.
It conflicts with the core values of the Kubernetes project and our community does not tolerate it.
We stand in solidarity with the Black community.
Racism is unacceptable.
It conflicts with the core values of the Kubernetes project and our community does not tolerate it.
This page shows how to debug Pods and ReplicationControllers.
You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using Minikube, or you can use one of these Kubernetes playgrounds:
To check the version, enterkubectl version
.
The first step in debugging a pod is taking a look at it. Check the current state of the pod and recent events with the following command:
kubectl describe pods ${POD_NAME}
Look at the state of the containers in the pod. Are they all Running
? Have
there been recent restarts?
Continue debugging depending on the state of the pods.
If a pod is stuck in Pending
it means that it can not be scheduled onto a
node. Generally this is because there are insufficient resources of one type or
another that prevent scheduling. Look at the output of the kubectl describe ...
command above. There should be messages from the scheduler about why it
can not schedule your pod. Reasons include:
You may have exhausted the supply of CPU or Memory in your cluster. In this case you can try several things:
Add more nodes to the cluster.
Terminate unneeded pods to make room for pending pods.
Check that the pod is not larger than your nodes. For example, if all
nodes have a capacity of cpu:1
, then a pod with a request of cpu: 1.1
will never be scheduled.
You can check node capacities with the kubectl get nodes -o <format>
command. Here are some example command lines that extract just the necessary
information:
kubectl get nodes -o yaml | egrep '\sname:|cpu:|memory:'
kubectl get nodes -o json | jq '.items[] | {name: .metadata.name, cap: .status.capacity}'
The resource quota feature can be configured to limit the total amount of resources that can be consumed. If used in conjunction with namespaces, it can prevent one team from hogging all the resources.
When you bind a pod to a hostPort
there are a limited number of places that
the pod can be scheduled. In most cases, hostPort
is unnecessary; try using a
service object to expose your pod. If you do require hostPort
then you can
only schedule as many pods as there are nodes in your container cluster.
If a pod is stuck in the Waiting
state, then it has been scheduled to a
worker node, but it can't run on that machine. Again, the information from
kubectl describe ...
should be informative. The most common cause of
Waiting
pods is a failure to pull the image. There are three things to check:
docker pull <image>
on your machine to see if the image can be
pulled.Once your pod has been scheduled, the methods described in Debug Running Pods are available for debugging.
ReplicationControllers are fairly straightforward. They can either create pods or they can't. If they can't create pods, then please refer to the instructions above to debug your pods.
You can also use kubectl describe rc ${CONTROLLER_NAME}
to inspect events
related to the replication controller.