AWS

Amazon Web Services

User credentials

Instead of sharing the credentials of the AWS account root user, create individual IAM users, granting each user only the permissions they require.

Follow the best practice of using the root user only to create your first IAM user.

There are two types of credentials:

Root user credentials, allow full access to all resources in the AWS account.
IAM credentials, control access to AWS services and resources for users in your AWS account

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

Access localstack from docker container

   1 docker run -d --name localstack --rm -it -p 4566:4566 -p 4571:4571 localstack/localstack # run container
   2 docker exec -it localstack bash # connect to container
   3 lsb_release -a
   4 curl http://localhost:4566/health
   5 awslocal s3api list-buckets
   6 awslocal s3api create-bucket --bucket my-bucket
   7 echo "test" > test.txt
   8 awslocal s3api put-object --bucket my-bucket --key dir-1/test.txt --body test.txt
   9 awslocal s3api get-object --bucket my-bucket --key dir-1/test.txt test2.txt
  10 cat test2.txt 
  11 apt install nano vim yajl-tools -y
  12 https://hub.docker.com/r/localstack/localstack
  13 https://github.com/localstack/localstack
  14 node -v # v14.18.1
  15 python -V # Python 3.8.12
  16 pip3 freeze
  17 curl http://localhost:4566/health | json_reformat
  18 awslocal ec2 run-instances --image-id prod-df2jln3gjtwps --count 1 --instance-type t2.micro
  19 awslocal ec2 describe-instances --filters "Name=instance-type,Values=t2.micro" --query "Reservations[].Instances[].InstanceId"
  20 awslocal ec2 describe-instances