gbrayut

apiVersion: compute.cnrm.cloud.google.com/v1beta1
kind: ComputeNetwork
metadata:
  annotations:
    cnrm.cloud.google.com/management-conflict-prevention-policy: "none"
    cnrm.cloud.google.com/deletion-policy: "abandon"
  name: default
spec:
  description: Default network for the project
---

gbrayut

# Create systemd unit
cat << EOF > /etc/systemd/system/theg2-ipv6-ula.service 
[Unit]
Description=Add ipv6 static ULA
After=network-online.target
Requires=network-online.target

[Service]
Type=oneshot
ExecStart=/sbin/ip address add fd0b:dead:b0b1::123 dev wlan0

gbrayut

$ echo "GET /" | openssl s_client -showcerts -servername www.linkedin.com -connect www.linkedin.com:443 | openssl x509 -noout -text
depth=2 C = US, O = DigiCert Inc, OU = www.digicert.com, CN = DigiCert Global Root G2
verify return:1
depth=1 C = US, O = Microsoft Corporation, CN = Microsoft Azure RSA TLS Issuing CA 04
verify return:1
depth=0 C = US, ST = WA, L = Redmond, O = Microsoft Corporation, CN = *.azureedge.net
verify return:1
DONE
Certificate:
    Data:

gbrayut

# Add GPU node pool with automatic driver installation. Manual drivers requred before 1.27 https://cloud.google.com/kubernetes-engine/docs/how-to/gpus#installing_drivers
# If you used the installation DaemonSet to manually install GPU drivers on or before January 25, 2023, you might need to re-apply the DaemonSet to get a version that ignores nodes that use automatic driver installation.

# COS based L4 via g2-standard-24 VMs https://cloud.google.com/compute/docs/accelerator-optimized-machines#g2-vms
gcloud beta container --project "gregbray-vpc" node-pools create "nvidia-l4-cos" --cluster "gke-iowa" --region "us-central1" \
  --machine-type "g2-standard-24" --accelerator type=nvidia-l4,count=2,gpu-driver-version=default \
  --image-type "COS_CONTAINERD" --disk-type "pd-balanced" --disk-size "100" \
  --num-nodes "1" --enable-autoscaling --min-nodes=1 --max-nodes=1 \
  --max-pods-per-node "110" --node-locations "us-central1-a"