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results of analyze to contain timestamp of detected problem events.
Actual behaviour
Hi,
This is sample output I get when using analyze. How do we know when the problems occured in terms of the timestamp info?
My Questions are : (1) Is there a way to get the timestamp of the problem occurance ? (2) What is the time range you consider when analyzing the problem with the analyze command ? Kindly let me know. (Note: when using --filter=Log, I get the log's timestamp)._
k1:~$ k8sgpt analyze --explain --with-doc --filter=Pod --output=json
{
"provider": "openai",
"errors": null,
"status": "ProblemDetected",
"problems": 41,
"results": [
{
"kind": "Pod",
"name": "deploynosvc/nginx-deployment-xxxx",
"error": [
{
"Text": "Back-off pulling image "nginx-1:latest"",
"KubernetesDoc": "",
"Sensitive": []
}
],
"details": "Error: The Kubernetes cluster is unable to pull the Docker image "nginx-1:latest," likely due to the image not being found or a network issue.\n\nSolution: \n1. Check if the image "nginx-1:latest" exists in the specified registry.\n2. Verify your Kubernetes deployment configuration for the correct image name.\n3. Ensure your cluster has internet access or access to the private registry.\n4. If using a private registry, check your image pull secrets.",
"parentObject": "Deployment/nginx-deployment"
},
{
"kind": "Pod",
"name": "sprint52alert/high-mem",
"error": [
{
"Text": "0/12 nodes are available: 10 Insufficient memory, 2 node(s) had untolerated taint {node-role.kubernetes.io/control-plane: }. preemption: 0/12 nodes are available: 10 No preemption victims found for incoming pod, 2 Preemption is not helpful for scheduling..",
"KubernetesDoc": "",
"Sensitive": []
}
],
"details": "Error: No nodes are available to schedule the pod due to insufficient memory on 10 nodes and 2 nodes having a taint that the pod cannot tolerate.\n\nSolution: \n1. Check memory usage on nodes.\n2. Scale up nodes or optimize workloads to free memory.\n3. Remove or modify the taint on the 2 nodes if appropriate.\n4. Retry scheduling the pod.",
"parentObject": ""
},
{
"kind": "Pod",
"name": "sprint55alert/liveness-daemonset-3333",
"error": [
{
"Text": "the last termination reason is Error container=liveness pod=xxxx",
"KubernetesDoc": "",
"Sensitive": []
}
],
"details": "Error: The liveness probe for the container in the liveness-daemonset failed, indicating that the container is not responding as expected.\n\nSolution: \n1. Check the container logs for errors: kubectl logs liveness-daemonset-3323.\n2. Verify the liveness probe configuration in the pod spec.\n3. Ensure the application inside the container is running correctly.\n4. Adjust the liveness probe settings if necessary.\n5. Redeploy the pod.",
"parentObject": "DaemonSet/liveness-daemonset"
},
{
Additional Information
No response
The text was updated successfully, but these errors were encountered:
Checklist
Affected Components
K8sGPT Version
No response
Kubernetes Version
No response
Host OS and its Version
Linux
Steps to reproduce
k8sgpt analyze --explain --with-doc --filter=Pod --output=json
Expected behaviour
results of analyze to contain timestamp of detected problem events.
Actual behaviour
Hi,
This is sample output I get when using analyze. How do we know when the problems occured in terms of the timestamp info?
My Questions are : (1) Is there a way to get the timestamp of the problem occurance ? (2) What is the time range you consider when analyzing the problem with the analyze command ? Kindly let me know.
(Note: when using --filter=Log, I get the log's timestamp)._
k1:~$ k8sgpt analyze --explain --with-doc --filter=Pod --output=json
{
"provider": "openai",
"errors": null,
"status": "ProblemDetected",
"problems": 41,
"results": [
{
"kind": "Pod",
"name": "deploynosvc/nginx-deployment-xxxx",
"error": [
{
"Text": "Back-off pulling image "nginx-1:latest"",
"KubernetesDoc": "",
"Sensitive": []
}
],
"details": "Error: The Kubernetes cluster is unable to pull the Docker image "nginx-1:latest," likely due to the image not being found or a network issue.\n\nSolution: \n1. Check if the image "nginx-1:latest" exists in the specified registry.\n2. Verify your Kubernetes deployment configuration for the correct image name.\n3. Ensure your cluster has internet access or access to the private registry.\n4. If using a private registry, check your image pull secrets.",
"parentObject": "Deployment/nginx-deployment"
},
{
"kind": "Pod",
"name": "sprint52alert/high-mem",
"error": [
{
"Text": "0/12 nodes are available: 10 Insufficient memory, 2 node(s) had untolerated taint {node-role.kubernetes.io/control-plane: }. preemption: 0/12 nodes are available: 10 No preemption victims found for incoming pod, 2 Preemption is not helpful for scheduling..",
"KubernetesDoc": "",
"Sensitive": []
}
],
"details": "Error: No nodes are available to schedule the pod due to insufficient memory on 10 nodes and 2 nodes having a taint that the pod cannot tolerate.\n\nSolution: \n1. Check memory usage on nodes.\n2. Scale up nodes or optimize workloads to free memory.\n3. Remove or modify the taint on the 2 nodes if appropriate.\n4. Retry scheduling the pod.",
"parentObject": ""
},
{
"kind": "Pod",
"name": "sprint55alert/liveness-daemonset-3333",
"error": [
{
"Text": "the last termination reason is Error container=liveness pod=xxxx",
"KubernetesDoc": "",
"Sensitive": []
}
],
"details": "Error: The liveness probe for the container in the liveness-daemonset failed, indicating that the container is not responding as expected.\n\nSolution: \n1. Check the container logs for errors:
kubectl logs liveness-daemonset-3323
.\n2. Verify the liveness probe configuration in the pod spec.\n3. Ensure the application inside the container is running correctly.\n4. Adjust the liveness probe settings if necessary.\n5. Redeploy the pod.","parentObject": "DaemonSet/liveness-daemonset"
},
{
Additional Information
No response
The text was updated successfully, but these errors were encountered: