https://gist.github.com/taion/1cfe1595a32b89ea4265679b38eee7b9

Deploy to GCP Cloud Run

# Add sql connection parameters for production environment

./xc.config.json

 "envs": {
    "production": {
      "db": [
        {
          "client": "mysql",
          "connection": {
            "host": "localhost",
            "port": "3306",
            "user": "root",
            "password": "password",
            "database": "sakila"
          },
          "meta": {
            "tableName": "_evolutions",
            "dbAlias": "primary"
          }
        }
      ],
      "api" : {}
    }
  },

AWS Lambda Deployment

• Open server/config/default.config.js and set aws.lambda to true and change other cloud serverless platform values as false.

• Install AWS cli & authenticate

  Refer : https://docs.aws.amazon.com/cli/index.html

• Open serverless.yml file and do the necessary changes.

• npm run aws:lambda

Azure Function App

• Install Azure cli and login.
• npm install -g azure-functions-core-tools
• npm run azure:deploy

GCP Cloud Function

• Install Google Cloud cli and authenticate.
• npm run gcp:fn

Zeit Now

• Install Zeit now library and authenticate using email.

• Add production environment in config.xc.json

  "envs": {
      "production": {
        "db": [
          {
            "client": "mysql",
            "connection": {
              "host": "localhost",
              "port": "3306",
              "user": "root",
              "password": "password",
              "database": "sakila"
            },
            "meta": {
              "tableName": "_evolutions",
              "dbAlias": "primary"
            }
          }
        ],
        "api" : {}
      }
    },
  

• npm run zeit:now

Performance

• test

  xc-examples-$autocannon -p 20 -c 50 -d 10 -m POST -H 'Content-Type: application/json'  -b '{"query":"{ CountryList { country }}","variables":{}}' http://localhost:8080/graphql 
  Running 10s test @ http://localhost:8080/graphql
  50 connections with 20 pipelining factor
  
  ┌─────────┬──────┬──────┬─────────┬─────────┬──────────┬───────────┬────────────┐
  │ Stat    │ 2.5% │ 50%  │ 97.5%   │ 99%     │ Avg      │ Stdev     │ Max        │
  ├─────────┼──────┼──────┼─────────┼─────────┼──────────┼───────────┼────────────┤
  │ Latency │ 0 ms │ 0 ms │ 1009 ms │ 1729 ms │ 63.74 ms │ 288.24 ms │ 2185.45 ms │
  └─────────┴──────┴──────┴─────────┴─────────┴──────────┴───────────┴────────────┘
  ┌───────────┬────────┬────────┬────────┬────────┬────────┬────────┬────────┐
  │ Stat      │ 1%     │ 2.5%   │ 50%    │ 97.5%  │ Avg    │ Stdev  │ Min    │
  ├───────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┤
  │ Req/Sec   │ 270    │ 270    │ 594    │ 1140   │ 712.9  │ 310.08 │ 270    │
  ├───────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┤
  │ Bytes/Sec │ 235 kB │ 235 kB │ 516 kB │ 990 kB │ 619 kB │ 270 kB │ 235 kB │
  └───────────┴────────┴────────┴────────┴────────┴────────┴────────┴────────┘
  
  Req/Bytes counts sampled once per second.
  
  7k requests in 10.09s, 6.19 MB read
    
    
  xc-examples-$autocannon -p 20 -c 50 -d 10 -m POST -H 'Content-Type: application/json'  -b '{"query":"{ CountryList { country\n CityList { city } }}","variables":{}}' http://localhost:8080/graphql 
  Running 10s test @ http://localhost:8080/graphql
  50 connections with 20 pipelining factor
  
  ┌─────────┬──────┬──────┬─────────┬─────────┬──────────┬───────────┬────────────┐
  │ Stat    │ 2.5% │ 50%  │ 97.5%   │ 99%     │ Avg      │ Stdev     │ Max        │
  ├─────────┼──────┼──────┼─────────┼─────────┼──────────┼───────────┼────────────┤
  │ Latency │ 0 ms │ 0 ms │ 1071 ms │ 1274 ms │ 59.26 ms │ 260.84 ms │ 2071.28 ms │
  └─────────┴──────┴──────┴─────────┴─────────┴──────────┴───────────┴────────────┘
  ┌───────────┬─────┬──────┬─────────┬─────────┬─────────┬────────┬─────────┐
  │ Stat      │ 1%  │ 2.5% │ 50%     │ 97.5%   │ Avg     │ Stdev  │ Min     │
  ├───────────┼─────┼──────┼─────────┼─────────┼─────────┼────────┼─────────┤
  │ Req/Sec   │ 0   │ 0    │ 910     │ 1000    │ 800     │ 295.93 │ 608     │
  ├───────────┼─────┼──────┼─────────┼─────────┼─────────┼────────┼─────────┤
  │ Bytes/Sec │ 0 B │ 0 B  │ 1.53 MB │ 1.68 MB │ 1.34 MB │ 497 kB │ 1.02 MB │
  └───────────┴─────┴──────┴─────────┴─────────┴─────────┴────────┴─────────┘
  
  Req/Bytes counts sampled once per second.
  
  8k requests in 10.07s, 13.4 MB read
  
  
  

#Folder Structure Explained

Click Here

AWS Lambda CLI deployment

• CLI Setup
  • https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-awscli.html
  • $ aws iam create-role --role-name xc-rest-lambda --assume-role-policy-document '{"Version": "2012-10-17","Statement": [{ "Effect": "Allow", "Principal": {"Service": "lambda.amazonaws.com"}, "Action": "sts:AssumeRole"}]}'
  • Add default policies aws iam attach-role-policy --role-name xc-rest-lambda --policy-arn arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
• CLI Deploy
  • Zip the project
    • In unix system use npm run lambda:zip
    • For windows npm run lambda:zip:win
  • Deploy to AWS Lambda using following command

    aws lambda create-function --function-name xc-rest-serverless-app --zip-file fileb://lambda.zip --handler server/app.lambda --runtime nodejs12.x --role arn:aws:iam::249717198246:role/xc-rest-lambda --publish --timeout 180
    

  • Invoke the function using

    aws lambda invoke --function-name xc-rest-serverless-app  out --log-type Tail --query 'LogResult' --output text |  base64 -D
    

• AWS API Gateway Setup
  • Add a trigger API Gateway to the xc-rest-serverless-app using AWS web console.
    • Open API Gateway page in aws console
    • Create rest api gateway
    • In resources add ANY as method to accept all the HTTP method
    • Add /{proxy+} as resource to match all the sub-paths
    • Under /{proxy+} add ANY as method to accept all the HTTP method
    • Now map the method to lambda function by clicking on ANY. On the right side within Lambda Function text field enter the lambda function name and save.
    • Now deploy the api gateway by clicking deploy option from the action dropdown
    • For detailed documentation visit here

#Alibaba Function Compute

• Install fun cli tool npm install @alicloud/fun -g
• Setup alibaba account configuration in cli using fun config ( https://www.alibabacloud.com/help/doc-detail/64204.htm )
• Run
  • npm run ali:fn:compute
  • or fun deploy# xc-sakila

xc-sakila