SQLadmin

# Lambda function / Python to create athena partitions for Cloudtrail log between any given days.
# If you run this in AWS Lambda then it can't able to ceate all the partitions.
# Because lambda can run any functions up to 5mins. But create partition query will take avg 6 secs.
# I did a benchmark on lambda, it created upto 3 months of partitions on 16 regions. 

'''
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AWS Athena Create Partitions Automatically For Given Any TWO DAYS
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Version 1.0

tongpu

#!/usr/bin/env python
import click
import configparser
import json
import os
import requests
import webbrowser
from boto.sts import STSConnection

eagleEggs

Setting up the following will enable running a notebook from CLI and create a plotly image from the generated graph:

CLI:
sudo jupyter nbconvert --execute notebook.ipynb

Python:
At top of notebook: offline.init_notebook_mode()

After defining data and figure:
offline.iplot(fig, filename='graph', image='png')

jg75

"""An AWS SNS example."""
import logging
import time

import boto3


logging.basicConfig(
    level=logging.INFO,
    format='[%(asctime)s] %(levelname)s:%(name)s:%(message)s'

jwieringa

AWS Inspector Support in a Containerized environment

Summary

• If behavioral analysis is required, then the kernel module is required
• The inspector agent cannot be compiled for container linux because the source code is not open
• The inspector agent is dynamically linked and therefore must be run on a supported filesystem/OS
• Therefore, the inspector agent must be run inside of a container
• Once the inspector agent in the container needs to have the correct mounts and capabilites to scan the host systems

kojiisd

    response = client.get_metric_data(
    MetricDataQueries=[
        {
            'Id': 'm1',
            'MetricStat': {
                'Metric': {
                    'Namespace': 'AWS/DynamoDB',
                    'MetricName': 'ProvisionedReadCapacityUnits',
                    'Dimensions': [
                        {

copley

AWS PRODUCTS
Amazon EC2
Amazon Elastic Container Registry
Amazon Elastic Container Service
AWS Lambda
Amazon Virtual Private Cloud
AWS Elastic Beanstalk
Auto Scaling
Elastic Load Balancing
Amazon S3

myoung34

# -*- coding: utf-8 -*-
import os, boto3, botocore

S3BUCKET=os.environ.get('S3BUCKET', None)
S3PREFIX=os.environ.get('S3PREFIX', 'rds/')
LASTRECEIVEDFILENAME=os.environ.get('LASTRECEIVEDFILENAME', '.timestamp')


def lambda_handler(event, context):
    log_file_data = ""

adrianhall

  UserPool:
    Type: "AWS::Cognito::UserPool"
    Description: "A Cognito user pool for authenticating users"
    Properties:
      UserPoolName: !Sub ${APIName}-user-pool
      AutoVerifiedAttributes:
        - phone_number
      MfaConfiguration: "ON"
      SmsConfiguration:
        ExternalId: !Sub ${APIName}-external

adrianhall

---
Description: AWS AppSync Notes API

Parameters:
  APIName:
    Type: String
    Description: Name of the API - used to generate unique names for resources
    MinLength: 3
    MaxLength: 20
    AllowedPattern: '^[a-zA-Z][a-zA-Z0-9_]*$'