Neutrollized

---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: nginx-ingress-no-rewrite
  annotations:
    kubernetes.io/ingress.class: "nginx"
    nginx.ingress.kubernetes.io/ssl-redirect: "false"
spec:
  defaultBackend:

Neutrollized

---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: nginx-ingress-rewrite
  annotations:
    kubernetes.io/ingress.class: "nginx"
    nginx.ingress.kubernetes.io/ssl-redirect: "false"
    nginx.ingress.kubernetes.io/rewrite-target: /$2
spec:

Neutrollized

---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: gxlb-ingress
  namespace: default
  annotations:
    kubernetes.io/ingress.class: "gce"
    kubernetes.io/ingress.allow-http: "true"
spec:

Neutrollized

---
kind: Gateway
apiVersion: gateway.networking.k8s.io/v1alpha2
metadata:
  name: external-http
  namespace: infra-ns
spec:
  gatewayClassName: gke-l7-gxlb
  listeners:
  - name: http

Neutrollized

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: store-v1
  namespace: store-ns
spec:
  replicas: 2
  selector:
    matchLabels:

Neutrollized

---
kind: HTTPRoute
apiVersion: gateway.networking.k8s.io/v1alpha2
metadata:
  name: store
  namespace: store-ns
spec:
  parentRefs:
  - kind: Gateway
    name: external-http

Neutrollized

resource "//cloudresourcemanager.googleapis.com/projects/my-project-123" {
  roles = [
    "roles/compute.instanceAdmin.v1",
    "roles/compute.networkAdmin",
    "roles/compute.securityAdmin",
    "roles/iam.serviceAccountUser", 
  ]
}

Neutrollized

vault {
  address = "https://10.234.56.78:8200"
  retry {
    num_retries = 3
  }
}

auto_auth {
  method "gcp" {
    mount_path = "auth/my-project-123"

Neutrollized

#!/bin/bash

export VAULT_ADDR='http://127.0.0.1:8100'

TOKEN_FILE_DIR='/path/to/dir'
TOKEN_FILENAME='vault-token-via-agent'

AUTOAUTH_TOKEN=$(find ${TOKEN_FILE_DIR} -type f -name ${TOKEN_FILENAME} -exec cat {} +)

ROLE_ID=$(VAULT_TOKEN=${AUTOAUTH_TOKEN} vault read -field=role_id auth/medium/role/jenkins/role-id)

Neutrollized

#! /usr/bin/env python3

import tensorflow as tf
import tensorflow_datasets as tfds


(ds_train, ds_test), ds_info = tfds.load(
    'mnist',
    split=['train', 'test'],
    shuffle_files=True,