nivleshc

---
# Name: ansible-aws-inventory-main.yml
# Description:   this is the main file that calls the worker file (ansible-aws-inventory-worker.yml) to create an inventory of all the
#                specific aws resources.
#                Below are the resources that will be inventoried
#                 - vpc
#                 - subnet
#                 - igw
#                 - cgw
#                 - vgw

GuillaumeDesforges

# Just change the first THEME variable to whatever theme you want. The line will edit, reload and print you the changed line in the .zshrc file
THEME="ys"; sed -i s/^ZSH_THEME=".\+"$/ZSH_THEME=\"$THEME\"/g ~/.zshrc && source ~/.zshrc && echo "Edited line in ~/zshrc :" && cat ~/.zshrc | grep -m 1 ZSH_THEME

ezhulkov

[server]
SERVER

[server:vars]
server_name=SERVER
email=noc@gopractice.io
docker_nginx_ssl=true

steinwaywhw

Preface

In general, AWS services can be accessed using

1. AWS web interface,
2. API libraries in a programming language, such as boto3 for Python 3,
3. AWS command-line interface, i.e. awscli.

I opted for the API library since it is

mapa17

import pandas as pd
import numpy as np
import timeit

import pyexcelerate

def pyexecelerate_to_excel(workbook_or_filename, df, sheet_name='Sheet1', origin=(1,1), columns=True, index=False):
    """
    Write DataFrame to excel file using pyexelerate library
    """

katzefudder

FROM alpine:3.14

ENV AWSCLI_VERSION "1.20.7"

RUN apk add --update \
    python3 \
    python3-dev \
    py-pip \
    build-base \
    && pip install awscli==$AWSCLI_VERSION --upgrade --user \

nqbao

# Copyright (c) 2018 Bao Nguyen <b@nqbao.com>
# 
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# 
# The above copyright notice and this permission notice shall be included in all

rjurney

for region in `aws ec2 describe-regions | jq -r .Regions[].RegionName`
do
  echo "Terminating region $region..."
  aws ec2 describe-instances --region $region | \
    jq -r .Reservations[].Instances[].InstanceId | \
      xargs -L 1 -I {} aws ec2 modify-instance-attribute \
        --region $region \
        --no-disable-api-termination \
        --instance-id {}
  aws ec2 describe-instances --region $region | \

doi-t

AWS Batch

• Ref. https://docs.aws.amazon.com/batch/latest/userguide/what-is-batch.html

The goal of this document is submitting a job to AWS Batch and confirming the result in CloudWatch Logs.

Since I've worked on ap-northeast-1 region, The following examples includes this region name.

Setting Up with AWS Batch

• Ref. https://docs.aws.amazon.com/batch/latest/userguide/get-set-up-for-aws-batch.html

luizbraga

from pymongo import MongoClient

MONGO_URI = ''
DATABASE_NAME = ''

client = MongoClient(MONGO_URI)
db = client[DATABASE_NAME]
collections = db.collection_names()

def readable_size(file_size):