GCP - Google Cloud Computing - Cloud Run

• Google Cloud Computing - Cloud Run
  • Overall
  • Development in the cloud

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Google Cloud Computing - Cloud Run

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Overall

• serverless
• enables you to deploy stateless containers
  • run container using a single command
  • that listen for requests or events delivered via HTTP requests.
• builds, deploys, and manages modern stateless workloads.
  • can build the applications in any language using whatever frameworks and tools
  • deploy them in seconds without manage and maintain the server infrastructure.
    • distracts way all the infrastructure management
    • such as provisioning, configuring, managing those servers
    • only focus on developing applications.
  • run request or event driven stateless workloads
    • without having to worry bout servers.
• automatically scales up and down from zero
  • depending upon traffic almost instantaneously
  • no worry about scale configuration.
• pay for only the resources used
  • calculated down to the nearest 100 milliseconds.
  • no pay for those over provisioned resources.
• gives the choice of running the containers
  • with fully managed or in the own GKE cluster.
  • deploy the stateless containers with a consistent developer experience to a fully managed environment or to the own GKE cluster.
  • This common experiences enabled by Knative
    • Cloud Run is built on Knative
      • an open source Kubernetes based platform.
      • an open API and runtime environment built on top of Kubernetes.
• gives the freedom to move the workloads across different environments and platforms,
  • either fully managed on GCP, on GKE
  • or anywhere a Knative runs.
• GKE = multiple CloudRun

Development in the cloud

gcloud auth list

gcloud services enable run.googleapis.com
gcloud config set compute/region europe-west1
LOCATION="europe-west1"

mkdir helloworld && cd helloworld

nano package.json
# Press CTRL+X, then Y, then Enter to save the package.json file.
# {
#   "name": "helloworld",
#   "description": "Simple hello world sample in Node",
#   "version": "1.0.0",
#   "main": "index.js",
#   "scripts": {
#     "start": "node index.js"
#   },
#   "author": "Google LLC",
#   "license": "Apache-2.0",
#   "dependencies": {
#     "express": "^4.17.1"
#   }
# }

nano index.js
# const express = require('express');
# const app = express();
# const port = process.env.PORT || 8080;
# app.get('/', (req, res) => {
#   const name = process.env.NAME || 'World';
#   res.send(`Hello ${name}!`);
# });
# app.listen(port, () => {
#   console.log(`helloworld: listening on port ${port}`);
# });



nano Dockerfile
# Use the official lightweight Node.js 12 image.
# https://hub.docker.com/_/node
FROM node:12-slim

# Create and change to the app directory.
WORKDIR /usr/src/app

# Copy application dependency manifests to the container image.
# A wildcard is used to ensure copying both package.json AND package-lock.json (when available).
# Copying this first prevents re-running npm install on every code change.
COPY package*.json ./

# Install production dependencies.
# If you add a package-lock.json, speed your build by switching to 'npm ci'.
# RUN npm ci --only=production
RUN npm install --only=production

# Copy local code to the container image.
COPY . ./

# Run the web service on container startup.
CMD [ "npm", "start" ]



gcloud builds submit --tag gcr.io/$GOOGLE_CLOUD_PROJECT/helloworld
gcloud container images list
gcloud auth configure-docker
docker run -d -p 8080:8080 gcr.io/$GOOGLE_CLOUD_PROJECT/helloworld
# In the Cloud Shell window, click on Web preview and select Preview on port 8080.
# This should open a browser window showing the "Hello World!" message. You could also simply use curl localhost:8080.


gcloud run deploy --image gcr.io/$GOOGLE_CLOUD_PROJECT/helloworld --allow-unauthenticated --region=$LOCATION


gcloud container images delete gcr.io/$GOOGLE_CLOUD_PROJECT/helloworld
gcloud run services delete helloworld --region=europe-west1

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