AWS

Amazon Web Services

Serverless blog web application architecture

• https://github.com/aws-samples/lambda-refarch-webapp

• https://s3.amazonaws.com/aws-lambda-serverless-web-refarch/RefArch_BlogApp_Serverless.png

  • Amazon Route 53 (routes to specific places based on region)

  • Amazon CloudFront (deliver static content per region hosted inside S3)

  • Amazon Simple Storage Service (S3)
  • Amazon Cognito (Authentication and authorization)
  • Amazon API Gateway (routes requests to backend logic)
  • AWS Lambda (backend business logic)
  • AWS DynamoDB (managed DB)
  • AWS Identity and Access Management (IAM) - web service to control access to AWS resources

Localstack in Debian

• https://github.com/localstack/localstack

• sudo apt install python3-pip
• sudo apt install python-pip
• pip3 install localstack
• pip install localstack
• .local/bin/localstack start
• docker run --rm -it -p 4566:4566 -p 4571:4571 localstack/localstack

• curl http://localhost:4566/health

• pip3 install awscli
• pip3 install awscli-local
• .local/bin/awslocal kinesis list-streams
• .local/bin/awslocal s3api list-buckets

• PATH=$PATH:/usr/sbin:~/.local/bin in ~/.bashrc

• docker exec -it silly_greider bash
• awslocal s3api list-buckets
• awslocal s3api create-bucket --bucket my-bucket --region us-east-1

• https://docs.aws.amazon.com/cli/latest/reference/s3api/

• echo "test" > test.txt

• awslocal s3api put-object --bucket my-bucket --key dir-1/test.txt --body test.txt
• awslocal s3api get-object --bucket my-bucket --key dir-1/test.txt test2.txt
• cat test2.txt

Localstack - lambda and s3

run.sh

   1 zip py-my-function.zip lambda_function.py
   2 awslocal lambda delete-function --function-name py-my-function
   3 awslocal lambda create-function --function-name py-my-function --zip-file fileb://py-my-function.zip --handler lambda_function.lambda_handler  --runtime python3.9 --role arn:aws:iam::000000000000:role/lambda-ex
   4 awslocal lambda invoke --function-name py-my-function --payload '{ "first_name": "Bob","last_name":"Squarepants" }' response.json 
   5 cat response.json

lambda_function.py

   1 import boto3
   2 import os
   3 
   4 def lambda_handler(event, context):
   5     message = 'Hello {} {}!'.format(event['first_name'], event['last_name'])
   6     session = boto3.session.Session()
   7 
   8     s3_client = session.client(
   9         service_name='s3',
  10         aws_access_key_id=os.environ["AWS_ACCESS_KEY_ID"],
  11         aws_secret_access_key=os.environ["AWS_SECRET_ACCESS_KEY"],
  12         endpoint_url='http://localhost:4566',
  13     )
  14 
  15     buckets=[]
  16     for bucket in s3_client.list_buckets()['Buckets']:
  17         buckets.append(bucket['Name'])
  18 
  19     response = s3_client.create_bucket(Bucket='examplebucket')
  20 
  21     body = {
  22         'message' : message,
  23         'buckets' : buckets,
  24         'AWS_ACCESS_KEY_ID' : os.environ["AWS_ACCESS_KEY_ID"],
  25         'AWS_SECRET_ACCESS_KEY' : os.environ["AWS_SECRET_ACCESS_KEY"]
  26     }
  27 
  28     s3_client.put_object(Body=str(body), Bucket='examplebucket', Key='examplebucket/response.txt')
  29     return body