amui

python3 -c "import boto3; creds = boto3.Session().get_credentials().get_frozen_credentials(); print(f'AWS_ACCESS_KEY_ID={creds.access_key}\nAWS_SECRET_ACCESS_KEY={creds.secret_key}\nAWS_SESSION_TOKEN={creds.token}')"

amui

# Boto3 examples showing difference between client and resource
#

import boto3
from boto3.dynamodb.conditions import Key
from botocore.config import Config
from pprint import pprint

my_config = Config(
    region_name = 'us-east-1'

amui

// variable 'user' stores the social oauth response through Cognito User Pool

const client = new S3({
      region: "<REGION>",
      credentials: fromCognitoIdentityPool({
        identityPoolId: "<IDENTITY POOL ID>",
        logins: {
          "cognito-idp.<REGION>.amazonaws.com/<USER POOL ID>": user.signInUserSession.idToken.jwtToken,
        },
        clientConfig: { region: "<REGION>" },

amui

#!/bin/bash

# list running instances
aws ec2 describe-instances --query 'Reservations[].Instances[].[InstanceId,Placement.AvailabilityZone,Tags[].Value]' --filters "Name=instance-state-name,Values=running" --region us-east-2

amui

from boto.s3.connection import S3Connection

# cache-control metadata
meta = {'Cache-Control':'max-age=43200'}

connection = S3Connection(KEY, SECRET)
bucket = connection.get_bucket('mui.test.bucket')
key = bucket.lookup('sourcefile.tar')

chunk = 99999999

amui

from boto.s3.connection import S3Connection

# make sure api creds set, KEY/SECRET are just placeholders
connection = S3Connection(KEY, SECRET)
bucket = connection.get_bucket("just.a.test.bucket.really")
keys = bucket.get_all_keys()

for key in keys:
    key.set_metadata('Cache-Control','max-age=43200')
    key.copy(

amui

Resources:
  AWSEBLoadBalancer:
    Type: "AWS::ElasticLoadBalancing::LoadBalancer"
    Properties:
      HealthCheck:
        Target: "HTTP:80/health.html"