itaysk

#public ip for the load balancer
$lbpip = New-AzurePublicIpAddress -Name "ironlbpip" -ResourceGroupName "iron" -Location "West Europe" –AllocationMethod Dynamic
#configure the public ip as the fronend ip for the load balancer (access endpoint from the internet)
$lbfe = New-AzureLoadBalancerFrontendIpConfig -Name "LB-Frontend" -PublicIpAddress $lbpip
#create an address pool for load balanced servers (later we add addresses to that pool)
$lbbepool= New-AzureLoadBalancerBackendAddressPoolConfig -Name "LB-backend"
#create a load balancing policy: balance all http traffic
$lbrule = New-AzureLoadBalancerRuleConfig -Name "HTTP" -FrontendIpConfiguration $lbfe -BackendAddressPool $lbbepool -Protocol Tcp -FrontendPort 80 -BackendPort 80
#Here we actually create the load balancer resource with all the settings previously defined
$lb = New-AzureLoadBalancer -ResourceGroupName "iron" -Name "ironlb" -Location "West Europe" -FrontendIpConfiguration $lbfe -LoadBalancingRule $lbrule -BackendAddressPool $lbbepool

itaysk

var http = require('http');
var os = require('os');

var msg = "";
var ifaces = os.networkInterfaces();
Object.keys(ifaces).forEach(function (ifname) {
  ifaces[ifname].forEach(function (iface) {
    if ('IPv4' !== iface.family || iface.internal !== false) {
      // skip over internal (i.e. 127.0.0.1) and non-ipv4 addresses
      return;

itaysk

var request = require('request');
var a=0 ,b = 0, c=0;
var count=100;
for (var i = 0; i < count; i++) {
request('http://23.97.149.255/', function (error, response, body) {
  if (!error && response.statusCode == 200) { 
    if (body == "10.2.0.4\n") {
		a++;
	}
	else if (body == "10.2.0.6\n") {

itaysk

$webAppProperties = (Get-AzureRmResource -ResourceGroupName $name -ResourceType Microsoft.Web/sites/config -ResourceName "$(WebAppName)/web" -ApiVersion 2015-08-01).Properties
$webAppProperties.VirtualApplications += [pscustomobject]@{VirtualPath="/$($VirtualPath)"; PhysicalPath="$PhisicalPath"; PreloadEnabled="False"; VirtualDirectories=$null}
#VirtualPath = a the URL path to create. PhisicalPath = a folder in the server to map to, relative to "Home" directory (to create an app parallel to wwwroot, physicalPath should be like "site\newVA")
Set-AzureRmResource -ResourceGroupName $RGname -ResourceType Microsoft.Web/sites/config -ResourceName "$(WebAppName)/web" -ApiVersion 2015-08-01 -Properties $webAppProperties -Force

itaysk

//demonstrates how to submit multiple http requests, while making sure each is resilient to transient errors using retries

var Promise = require('bluebird');
var rp = require('request-promise');
var retry = require('bluebird-retry');

var createPromise = function(i) {
	return retry(function () {
            return rp('http://localhost:8000?q='+i).promise();
        }, {

itaysk

import os
import azure.batch.batch_service_client as batch
import azure.batch.batch_auth as batchauth
import azure.batch.models as batchmodels

#---------------------parameters---------------------#
#--------------this is the part you edit-------------#

batch_account_name = "<your batch account name here>"
batch_account_url = "<your batch account url here>"

itaysk

var aadTenant = "yourTenant.onmicrosoft.com",
    spaClientId = "{xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx}", //AAD app client id for this app
    serviceClientId = "{xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx}", //AAD app client id for the service API app
var serviceUrl = "http://localhost:8081/api/doSomething"; // the service API endpoint

var authContext = new AuthenticationContext({
    instance: 'https://login.microsoftonline.com/',
    tenant: aadTenant,
    clientId: spaClientId,
    postLogoutRedirectUri: window.location.origin,

itaysk

(ResourceGroup=<ResourceGroupName>) (Resource=<ResourceName>) (ActivityStatus=Succeeded) 
| Sort TimeGenerated asc 
| Top 1 
| Select Caller

itaysk

kubectl get po mypod -ojson | jq '.status.conditions[] | select(.type=="mycondition") | .status' -r

itaysk

from pyspark.sql import SparkSession
spark = SparkSession \
    .builder \
    .appName("spark-avro-json-sample") \
    .config('spark.hadoop.avro.mapred.ignore.inputs.without.extension', 'false') \
    .getOrCreate()

#storage->avro
avroDf = spark.read.format("com.databricks.spark.avro").load(in_path)