lrakai

var setup = function (numDocs) {
	var batchSize = 1000;

	function makeDoc(maxSubOrders = 10, minDate = ISODate("2014-01-01T00:00:00Z"), maxDate = ISODate("2016-09-27T00:00:00Z")) {

		function randomDate(minDate, maxDate) {
			return new Date(minDate.getTime() + Math.random() * (maxDate.getTime() - minDate.getTime()));
		}

		var numSubOrders = Math.floor(Math.random() * (maxSubOrders + 1));

lrakai

# Requires Azure Resource Manager and Azure Active Directory Cmdlets
# Install-Module AzureRM
# Install-Module AzureADPreview

Login-AzureRmAccount

$TenantId = (Get-AzureRmSubscription).TenantId
Connect-AzureAD -TenantId $TenantId

$ResourceGroupName = "TestRG"

lrakai

{
    "Outputs": {
        "PublicSlaveDnsAddress": {
            "Value": {
                "Fn::GetAtt": [
                    "PublicSlaveLoadBalancer",
                    "DNSName"
                ]
            },
            "Description": "Public slaves"

lrakai

# Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#  
#  or in the "license" file accompanying this file. This file is distributed 
#  on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either 

lrakai

# Copyright 2017 by the contributors
#
#    Licensed under the Apache License, Version 2.0 (the "License");
#    you may not use this file except in compliance with the License.
#    You may obtain a copy of the License at
#
#        http://www.apache.org/licenses/LICENSE-2.0
#
#    Unless required by applicable law or agreed to in writing, software
#    distributed under the License is distributed on an "AS IS" BASIS,

lrakai

# Note I used 2 t2.micro EC2 instances with 1gb memory each as worker nodes
# 1gb in the OP maps to 440Mi (~50%) in the example

kubectl run pod1 --image=nginx --requests=memory=440Mi
kubectl run pod3 --image=nginx --requests=memory=440Mi
kubectl run pod4 --image=nginx --requests=memory=100Mi
kubectl run pod2 --image=nginx --requests=memory=100Mi

# The scheduler will alternate each deployment's pod to each of the two nodes like in the OP

lrakai

# Azure Authtentication Token
# From https://blogs.technet.microsoft.com/stefan_stranger/2016/10/21/using-the-azure-arm-rest-apin-get-access-token/

#requires -Version 3
#SPN ClientId and Secret
$ClientID      = "clientid" #ApplicationID
$ClientSecret  = "ClientSecret"  #key from Application
$tenantid      = "TenantID"
 

lrakai

# Must run on a Windows Server with Azure File Sync Agent and Azure PowerShell module installed

function Login-Azure {
    param (
        [string]$username,
        [string]$password # Use [secureString] outside of secure environments
    )
    # Convert password to secure string (required for creating login credential)
    $securePassword = ConvertTo-SecureString -String $password -AsPlainText -Force

lrakai

aws logs describe-log-groups --query 'logGroups[*].logGroupName' --output table | awk '{print $2}' | grep -v ^$ | while read x; do aws logs delete-log-group --log-group-name $x; done

lrakai

import boto3
import botocore
import time


def handler(event=None, context=None):
    client = boto3.client('ssm')

    instance_id = 'i-07362a00952fca213' # hard-code for example
    response = client.send_command(