schedulable | Handling recurring events in rails | Microservice library

I'm trying to setup a Google Kubernetes Engine cluster with GPU's in the nodes loosely following these instructions, because I'm programmatically deploying using the Python client.

For some reason I can create a cluster with a NodePool that contains GPU's

...But, the nodes in the NodePool don't have access to those GPUs.

I've already installed the NVIDIA DaemonSet with this yaml file: https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml

You can see that it's there in this image:

For some reason those 2 lines always seem to be in status "ContainerCreating" and "PodInitializing". They never flip green to status = "Running". How can I get the GPU's in the NodePool to become available in the node(s)?

Based on comments I ran the following commands on the 2 NVIDIA pods; kubectl describe pod POD_NAME --namespace kube-system.

To do this I opened the UI KUBECTL command terminal on the node. Then I ran the following commands:

gcloud container clusters get-credentials CLUSTER-NAME --zone ZONE --project PROJECT-NAME

Then, I called kubectl describe pod nvidia-gpu-device-plugin-UID --namespace kube-system and got this output:

I wonder if someone can help me.

Kubernetes (K8s 1.21 platform eks.4) is Terminating running pods without error or reason. The only thing I can see in the events is:

I'm running Longhorn v1.2.3 on RKE1 cluster (provisioned by rancher), this cluster has 5 nodes with dedicated 20GiB disks mounted on /var/lib/longhorn, with ext4 filesystem and 0% reserved blocks for root user/group.

In the dashboard, i see the following stats:

I changed Storage Minimal Available Percentage in settings to 5 (from 25 as i recall), but that haven't changed anything. When i open "nodes" tab, i see the following in "Size" tab:

I can use GKE Autopilot to run arbitrary workloads on a sandbox project (with default networks, default service account, default firewall rules) just fine.

But I need to create a GKE Autopilot cluster in an existing project which isn't using the default settings for a few different things like networking and when I try, the pods never get run. My problem lies in identifying the underlying reason for the failure and which part of project setup is preventing GKE Autopilot to work.

The error messages and logs are very very scarse. The only things that I see are:

• in the workloads UI, for my pod, it says "Pod unschedulable"
• in the pod UI, under events, it says "no nodes available to schedule pods" and "pod triggered scale-up: [{...url-of-an-instance-group...}]"
• under the cluster autoscaler logs, there is a "scale.up.error.waiting.for.instances.timeout" buried in a resultInfo log (with a reference to a instance group url)

I can't find anything online about why the scaling up would fail in the Autopilot mode which is supposed to be such a hands-off experience. I understand I'm not giving much details about the pod specification (any would fail!) or my project settings, but simply where to look next would be helpful in my current situation.

I have a Kubernetes Cluster with pods autoscalables using Autopilot. Suddenly they stop to autoscale, I'm new at Kubernetes and I don't know exactly what to do or what is supposed to put in the console to show for help.

The pods automatically are Unschedulable and inside the cluster put his state at Pending instead of running and doesn't allow me to enter or interact.

Also I can't delete or stop them at GCP Console. There's no issue regarding memory or insufficient CPU because there's not much server running on it.

The cluster was working as expected before this issue I have.

I'm trying to fetch a row from a table called export with random weights. It should then fetch one row from another table export_chunk which references the first row. This is the query:

need help.

I must to install Exchange Listener with instruction https://community.terrasoft.ru/articles/1-realnyy-primer-po-razvertyvaniyu-servisa-exchange-listener-s-ispolzovaniem-kubernetes Some month ago I do it, but now i see the mistake

adminka@l-test:~$ kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/k8s-manifests/kube-flannel-rbac.yml unable to recognize "https://raw.githubusercontent.com/coreos/flannel/master/Documentation/k8s-manifests/kube-flannel-rbac.yml": no matches for kind "ClusterRole" in version "rbac.authorization.k8s.io/v1beta1" unable to recognize "https://raw.githubusercontent.com/coreos/flannel/master/Documentation/k8s-manifests/kube-flannel-rbac.yml": no matches for kind "ClusterRoleBinding" in version "rbac.authorization.k8s.io/v1beta1"

What need to do?

adminka@l-test:~$ kubectl -n kube-system get pods --all-namespaces NAMESPACE NAME READY STATUS
RESTARTS AGE kube-system coredns-78fcd69978-mrb58 1/1
Running 0 2d12h kube-system coredns-78fcd69978-pwp2n
1/1 Running 0 2d12h kube-system etcd-l-test
1/1 Running 0 2d12h kube-system kube-apiserver-l-test 1/1 Running 0 2d12h kube-system
kube-controller-manager-l-test 1/1 Running 0 2d12h kube-system kube-flannel-ds-kx9sm 1/1 Running 0
2d12h kube-system kube-proxy-v2f9q 1/1 Running
0 2d12h kube-system kube-scheduler-l-test 1/1
Running 0 2d12h

I have a model Survey which is related to hasOne another model Installation which is related to hasMany another model Assignment. So i defined a hasManyThrough relationship like this

If I cordon a node, I make it unschedulable, so this command applies a taint on this node to mark it as NoSchedule with kubernetes specific key. But then when I create a taint with NoSchedule effect and add another key value, for ex. env=production and create a toleration on pod to match this key and effect NoSchedule - pod anyway won't be scheduled on this node. Why so? Maybe cordon command somehow internally marks node as no schedule and not only applies a taint

P.S After running kubectl uncordon the toleration worked