Complete server deployment config
Writeup still a WIP, please pardon the dust.
Below is mostly braindumps & rough commands for creating/tweaking these services. Formal writeup coming soon!
curl -sfL https://get.k3s.io | INSTALL_K3S_EXEC="server --cluster-init" sh -
export NODE_TOKEN=$(cat /var/lib/rancher/k3s/server/node-token)
curl -sfL https://get.k3s.io | K3S_TOKEN=$NODE_TOKEN INSTALL_K3S_EXEC="server --server https://192.168.122.87:6443" INSTALL_K3S_VERSION=v1.23.6+k3s1 sh -
TODO
KUBECONFIG=/etc/rancher/k3s/k3s.yaml helm upgrade --install --create-namespace --namespace rook-ceph rook-ceph rook-release/rook-ceph:1.9.2 -f rook-ceph-values.yaml
KUBECONFIG=/etc/rancher/k3s/k3s.yaml helm install --create-namespace --namespace rook-ceph rook-ceph-cluster --set operatorNamespace=rook-ceph rook-release/rook-ceph-cluster:1.9.2 -f rook-ceph-cluster-values.yaml
TODO
ceph osd metadata
If your setup divides k8s nodes into ceph & non-ceph nodes (using a label, like storage-node=true
), ensure labels & a toleration are set properly (storage-node=false
, with a toleration checking for storage-node
) so non-ceph nodes still run PV plugin Daemonsets.
Otherwise, any pod scheduled on a non-ceph node won't be able to mount ceph-backed PVCs.
See rook-ceph-cluster-values.yaml->cephClusterSpec->placement for an example.
EC-backed filesystems require a regular replicated pool as a default.
https://lists.ceph.io/hyperkitty/list/[email protected]/thread/QI42CLL3GJ6G7PZEMAD3CXBHA5BNWSYS/ https://tracker.ceph.com/issues/42450
Then setfattr a directory on the filesystem with an EC-backed pool. Any new data written to the folder will go to the EC-backed pool.
setfattr -n ceph.dir.layout.pool -v cephfs-erasurecoded /mnt/cephfs/my-erasure-coded-dir
https://docs.ceph.com/en/quincy/cephfs/file-layouts/
Create CephFilesystem
Create SC backed by Filesystem & Pool
Ensure the CSI subvolumegroup was created. If not, ceph fs subvolumegroup create <fsname> csi
Create PVC without a specified PV: PV will be auto-created
Super important: Set created PV to ReclaimPolicy: Retain
Create a new, better-named PVC
Grow resources->storage on PV Grow resources->storage on PVC
Verify the new limit: getfattr -n ceph.quota.max_bytes /mnt/volumes/csi/csi-vol-<uuid>/<uuid>
for i in ceph osd pool ls
; do echo $i: ceph osd pool get $i crush_rule
; done
On ES backed pools, device class information is in the erasure code profile, not the crush rule. https://docs.ceph.com/en/latest/dev/erasure-coded-pool/
for i in ceph osd erasure-code-profile ls
; do echo $i: ceph osd erasure-code-profile get $i
; done
If hostNetwork is enabled on the cluster, ensure rook-ceph-operator is not running with hostNetwork enable. It doesn't need host network access to orchestrate the cluster, & impedes orchestration of objectstores & associated resources.
This is great for setting up easy public downloads.
kubectl -n rook-ceph get secret rook-ceph-object-user-ceph-objectstore-josh -o go-template='{{range $k,$v := .data}}{{printf "%s: " $k}}{{if not $v}}{{$v}}{{else}}{{$v | base64decode}}{{end}}{{"\n"}}{{end}}
rook/buckets/bucket.py::create_bucket
)rook/buckets/bucket.py::set_public_read_policy
)Upload file
from bucket import *
conn = connect()
conn.upload_file('path/to/s3-bucket-listing/index.html', 'public', 'index.html', ExtraArgs={'ContentType': 'text/html'})
curl -s -L https://nvidia.github.io/nvidia-container-runtime/gpgkey | sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-container-runtime/$distribution/nvidia-container-runtime.list | sudo tee /etc/apt/sources.list.d/nvidia-container-runtime.list
wget https://developer.download.nvidia.com/compute/cuda/11.6.2/local_installers/cuda-repo-debian11-11-6-local_11.6.2-510.47.03-1_amd64.deb
sudo dpkg -i cuda-repo-debian11-11-6-local_11.6.2-510.47.03-1_amd64.deb
sudo apt-key add /var/cuda-repo-debian11-11-6-local/7fa2af80.pub
sudo apt-get update
sudo apt install cuda nvidia-container-runtime nvidia-kernel-dkms
sudo apt install --reinstall nvidia-kernel-dkms
sudo vi /etc/modprobe.d/blacklist-nvidia-nouveau.conf
blacklist nouveau
options nouveau modeset=0
sudo update-initramfs -u
Copy https://github.com/k3s-io/k3s/blob/v1.24.2%2Bk3s2/pkg/agent/templates/templates_linux.go into /var/lib/rancher/k3s/agent/etc/containerd/config.toml.tmpl (substitute your k3s version)
Edit the file:
<... snip>
conf_dir = "{{ .NodeConfig.AgentConfig.CNIConfDir }}"
{{end}}
[plugins.cri.containerd.runtimes.runc]
runtime_type = "io.containerd.runc.v2"
[plugins.cri.containerd.runtimes.runc.options]
BinaryName = "/usr/bin/nvidia-container-runtime"
{{ if .PrivateRegistryConfig }}
<... snip>
& then systemctl restart k3s
Label your GPU-capable nodes: kubectl label nodes <node name> gpu-node=true
& then install the nvidia device plugin:
helm repo add nvdp https://nvidia.github.io/k8s-device-plugin
helm repo update
KUBECONFIG=/etc/rancher/k3s/k3s.yaml helm upgrade -i nvdp nvdp/nvidia-device-plugin --version=0.12.2 --namespace nvidia-device-plugin --create-namespace --set-string nodeSelector.gpu-node=true
Ensure the pods on the namespace are Running.
Test GPU passthrough by applying examples/cuda-pod.yaml, then exec-ing into it & running nvidia-smi
.
https://github.com/NVIDIA/k8s-device-plugin#shared-access-to-gpus-with-cuda-time-slicing
version: v1
sharing:
timeSlicing:
renameByDefault: false
failRequestsGreaterThanOne: false
resources:
- name: nvidia.com/gpu
replicas: 5
$ helm upgrade -i nvdp nvdp/nvidia-device-plugin ... --set-file config.map.config=nvidia-device-plugin-config.yaml
https://docs.ceph.com/en/latest/man/8/mount.ceph/
sudo mount -t ceph user@<cluster FSID>.<filesystem name>=/ /mnt/ceph -o secret=<secret key>,x-systemd.requires=ceph.target,x-systemd.mount-timeout=5min,_netdev,mon_addr=192.168.1.1
sudo vi /etc/fstab
192.168.1.1,192.168.1.2:/ /ceph ceph name=admin,secret=<secret key>,x-systemd.mount-timeout=5min,_netdev,mds_namespace=data
https://unix.stackexchange.com/questions/554908/disable-spectre-and-meltdown-mitigations
https://rpi4cluster.com/monitoring/monitor-intro/, + what's in the monitoring
folder.
Tried https://github.com/prometheus-operator/kube-prometheus. The only way to persist dashboards is to add them to Jsonnet & apply the generated configmap. I'm not ready for that kind of IaC commitment in a homelab.
kubectl expose svc/some-service --name=some-service-external --port 1234 --target-port 1234 --type LoadBalancer
Service will then be available on port 1234 of any k8s node.
KUBECONFIG=/etc/rancher/k3s/k3s.yaml velero install \
--provider aws \
--plugins velero/velero-plugin-for-aws:v1.0.0 \
--bucket velero \
--secret-file ./credentials-velero \
--use-volume-snapshots=true \
--default-volumes-to-fs-backup \
--use-node-agent \
--backup-location-config region=default,s3ForcePathStyle="true",s3Url=http://172.16.69.234:9000 \
--snapshot-location-config region="default"
Had to remove resources:
from the daemonset.
kubectl -n velero edit backupstoragelocation default
https://velero.io/docs/v1.3.0/restore-reference/
Velero does not support hostPath PVCs, but works just fine with the openebs-hostpath
storageClass.
KUBECONFIG=/etc/rancher/k3s/k3s.yaml helm install openebs --namespace openebs openebs/openebs --create-namespace --set localprovisioner.basePath=/k3s-storage/openebs
This is a nice PVC option for simpler backup target setups.
...
expose
for accessing internal services