Verifying the Status of a Pod Created by kubectl run
Command
When you create a Pod using the kubectl run
command in Kubernetes, it's important to verify the status of the Pod to ensure that it's running as expected. Here's how you can do it:
Checking the Pod Status
After running the kubectl run
command to create a new Pod, you can use the kubectl get pods
command to check the status of the Pod. This command will display the current state of the Pod, including its name, the node it's running on, the status, and the age of the Pod.
Here's an example:
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
my-pod 1/1 Running 0 2m
In this example, the Pod named my-pod
is in the Running
state, which means it's up and running as expected.
If the Pod is not in the Running
state, you can check the status further by using the kubectl describe pods
command. This command will provide more detailed information about the Pod, including any errors or events that may have occurred during its creation or execution.
$ kubectl describe pods my-pod
Name: my-pod
Namespace: default
Priority: 0
Node: worker1/192.168.1.100
Start Time: Tue, 18 Apr 2023 14:30:00 +0000
Labels: run=my-pod
Annotations: <none>
Status: Running
IP: 10.244.1.5
IPs:
IP: 10.244.1.5
Containers:
my-container:
Container ID: docker://6a1234567890abcdef
Image: nginx:latest
Image ID: docker-pullable://nginx@sha256:1234567890abcdef
Port: 80/TCP
Host Port: 0/TCP
State: Running
Started: Tue, 18 Apr 2023 14:30:01 +0000
Ready: True
Restart Count: 0
Environment: <none>
Mounts:
/var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-m4c7m (ro)
Conditions:
Type Status
Initialized True
Ready True
ContainersReady True
PodScheduled True
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Scheduled 2m default-scheduler Successfully assigned default/my-pod to worker1
Normal Pulling 2m kubelet Pulling image "nginx:latest"
Normal Pulled 2m kubelet Successfully pulled image "nginx:latest" in 1.234s
Normal Created 2m kubelet Created container my-container
Normal Started 2m kubelet Started container my-container
The kubectl describe pods
command provides a wealth of information about the Pod, including its status, the containers running inside it, and any events that have occurred during its lifecycle.
Monitoring Pod Status Changes
You can also monitor the status of the Pod in real-time using the kubectl get pods -w
command. This command will continuously watch the Pod and display any changes to its status.
$ kubectl get pods -w
NAME READY STATUS RESTARTS AGE
my-pod 0/1 Pending 0 0s
my-pod 0/1 Pending 0 1s
my-pod 0/1 Pending 0 2s
my-pod 1/1 Running 0 3s
In this example, the Pod initially starts in the Pending
state, and then transitions to the Running
state after a few seconds.
Understanding Pod Statuses
Kubernetes Pods can have several different statuses, including:
Pending
: The Pod has been accepted by the Kubernetes system, but one or more of the containers has not been created or started yet.Running
: The Pod has been bound to a node, and all of the containers have been created. At least one container is still running, or is in the process of starting or restarting.Succeeded
: All containers in the Pod have terminated successfully and will not be restarted.Failed
: All containers in the Pod have terminated, and at least one container has terminated in failure.Unknown
: The state of the Pod could not be obtained, usually due to an error in communicating with the host.
Understanding these different statuses can help you troubleshoot issues with your Pods and ensure that they are running as expected.
Visualizing Pod Status with Mermaid
Here's a Mermaid diagram that illustrates the different Pod statuses and the transitions between them:
This diagram shows that a Pod can start in the Pending
state, then transition to the Running
state, and finally end up in either the Succeeded
or Failed
state. The Unknown
state can occur at any point during the Pod's lifecycle if there's an issue communicating with the host.
By understanding the different Pod statuses and how they relate to each other, you can more effectively monitor and troubleshoot your Kubernetes deployments.