Configuration of Google cloud storage for application access

Following are the steps can be useful if you have any application (service) in your on premise that need to access (download/upload) files to Google cloud storage.

Open  and configure your free account if not done so far.
Open console and create a new Project.



Select the correct project if you have access to multiple projects.

Select Project.jpg

Select storage from ‘Product and services’ menu.



Click on ‘Create Bucket’ and give name, storage class and location.




Upload some of files/folders manually.



Click on Settings then Interoperability, note down cloud storage URL, access key and secret key. If secret key isn’t present then click on ‘Create a new Key



Testing bucket access:-

Install Cloudberry (freeware) for Google cloud in your test server.
Connect to Azure blob using access key, secret key. Make sure authentication is ‘Access & secret key’ is selected.



Test copy (/cut) paste of file (/s) using cloud berry console.





Configuring Rackspace Cloud Files Storage for API access

Following are the steps can be useful if you have any application (service/API) in your environment that need to access (download/upload) files to Rackspace cloud file storage.

Signup to Rackspace cloud
Go to Rackspace control panel then provide root user a/c you configured during signup process.



Create a New User account for API access. Go to User Management from Account tab



Click on Create user, this console will give you list of all users created so far. Once default (root) user will be available by default.


Give user details such as FirstName, LastName, email, phone….Etc. Contact type must be Technical then select appropriate permission on Rackspace cloud.




Once user created successfully, go to the properties of user a/c copy the Rackspace API key.




From the control panel, select Rackspace cloud from the Product list then select Files from Storage list.



Create a New container, select appropriate Region. keep the type as Private



Manually upload some of the files using console itself.



Testing bucket (container) access

Download Rackspace Command Line Interface
Go to the directory where you downloaded the rack binary and run the following command to connect with container.

rack.exe configure


Retrieves a list of containers.

Rack files container list


Lists all of the objects contained in a specified container.

Rack files object list --container StorageAccess


Uploads an object directory into a specified container

Rack files object upload-dir --container StorageAccess --dir \temp\pictures


you can also try checking cloud access using cloud berry backup tool


Configuration of Azure Blob storage for application access

Following are the steps can be useful if you have any application (service) in your on premise that need to access (download/upload) files to Microsoft Azure blob storage.

Open Azure web portal Configure free tire account if not configured.

Create a blob storage resource.



Give appropriate name for Storage account, remember this should be unique in AWS infrastructure, and select storage kind as ‘Blob storage’, select ‘New’ in ‘Resource group’ section. If you have already created any resource group then select one of old one. Select ‘Pin to dashboard’ so you can access it directly from dashboard.



From the dash board, click on storage account ‘appazurestorage1’ you just created.



Create a new ‘Container’. It’s kind of folder, in AWS & Google cloud it’s called as a bucket. Keep the access level as private.



Click on ‘Access key’ tab, note down storage account name & key.



The basic configuration of blob storage is ready. You can now upload few files manually using Azure portal by click on bucket you just created.



Testing bucket access:-

Method 1 using cloud Berry
a. Download and Install Cloudberry (freeware) for Azure in your on premise server.
b. Connect to Azure blob using access key & account name.



c. Test copy (/cut) paste of file (/s) using cloud berry console.



Method 2 Using MS AzCopy command line tool.
Download and install AzCopy on server. Open command prompt, switch to AzCopy directory which is most likely “C:\Program Files (x86)\Microsoft SDKs\Azure\AzCopy“

Download all blobs (files) of a container to local disk.
Sample Syntax

AzCopy /Source: /Dest:C:\myfolder /SourceKey:key /S


AzCopy /Source: /Dest:C:\temp\Azure /SourceKey:pQrvBr+rwoI9psWKx73SKcrE8M0JW+ZUQeIY05CJ+PJMGSFMpXV+U9Maygbtiwtc69+aPkabmZna6hxfhuw2NA== /S /sourceType:blob




Upload all blobs (files) in a container (bucket)

AzCopy /Source:C:\myfolder /Dest: /DestKey:key /S


AzCopy /Source:C:\temp\Azure\upload /Dest: /DestKey:pQrvBr+rwoI9psWKx73SKcrE8M0JW+ZUQeIY05CJ+PJMGSFMpXV+U9Maygbtiwtc69+aPkabmZna6hxfhuw2NA== /S



More details about AzCopy tool.

Configuration of AWS S3 (Simple Storage Service) for application access.

Following are the steps can be useful if you have any application (service) in your on premise that need to access (download/upload) files to AWS S3 storage.

Sign in with root a/c credential to AWS Console


Select IAM under ‘Security, identity and compliance’ container


Add a new user for API or Console access.


Give appropriate ‘User name’, Select Access Type.

Please note, selection of both access type isn’t recommended for production use due to accessibly issues. This demo require only ‘Programmatic acces. You can use same user account for delegation of AWS storage related stuff managed via AWS console.


Select ‘Attach existing policies directly’ then search for S3, attach ‘AmazonS3FullAccess’


Review the setting and then click on ‘Create user

Note down user name, access Key ID, Secret Access Key and Sign-in URL. You can additionally download CSV file for all these information.


Select ‘S3’ from ‘Storage’ section.



Click on ‘Create Bucket’, give appropriate name and select ‘Region’, the bucket name should be unique in AWS infrastructure.  Then click on ‘Create’. I have skipped remaining criteria such as version, permission and website related stuff for this test. However if you need to have specific settings please refer.


You can upload files manually using AWS Console.



Testing bucket access using on premise application.

Method 1-using CloudBerry

Install Cloudberry (freeware), Connect to AWS S3 bucket


You can copy (/cut)-paste files from local machine to S3 OR vice versa.



Method 2 Using-Powershell

Install AWS tools Open PowerShell, use following commands to test bucket access.

Set Credential.

Set-AWSCredentials -AccessKey AKIAI3ZDRI4HGSD4NOGQ -SecretKey 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

Get-all buckets



Show all contents of specified bucket.

Get-S3Object -BucketName appdatatest1 -MaxKey 100 |Format-Table


Refer  for more details on PowerShell commands AWS.

Enable Multi Factor authentication for your AWS account

If you are beginner of AWS like me and wondering how the account can be secure for unauthorized access then enable multi factor authentication using smart phone app code.

Sign in to AWS console with root account.



Select IAM (Identity & Access Manager) under ‘Security, Identity & Compliance’ Section.



Under Dashboard, select ‘Activate MFA on your root account’



Click on ‘Manage MFA device’, then select ‘A virtual MFA device’.


Before click on ‘Next Step’, install ‘Google authenticator’ app in your smart phone. Following is the list of APP supported by AWS.

 Android Google Authenticator; Authy 2-Factor Authentication
 iPhone Google Authenticator; Authy 2-Factor Authentication
 Windows Phone Authenticator
 Blackberry Google Authenticator


Click on ‘Next Step’ then scan the bar code from ‘Google Authenticator’ mobile app.

Barcode1    Barcode2


Once bar code activated successfully on phone then place two consecutive authentication code (each code generates in interval of a minute) and click on ‘Activate virtual MFA’ then click on Finish.

activate MFA.jpg


Refresh AWS page and then you will see MFA is activated.



If you Sign out then Sing in again into AWS console. You need to supply username, password and authentication code generated from mobile app.


Refer following links for more information.

Multi-Factor Authentication

Using Multi-Factor Authentication (MFA) in AWS

Retrieve Active Directory object properties using VBScript.

In many circumstance, you may need to isolate application and Active directory issues that may popup because of bad network OR configuration of environment. In one of last challenge to isolate application performance issues with network while retrieving AD object I used following VBScript rather than custom application.

Create a text file eg. RetrieveProxy.vbs in your desired location (mine is c:\tools). Paste following code into notepad.

This will retrieve ‘user1’ proxy address from Active directory.

REM wscript.echo Starttime
Set objUser=GetObject("LDAP://,OU=Myusers,DC=domain,DC=local")
wscript.echo("Proxy Address: "&ProxyAddress", Bind took "&TimeTaken&" Seconds, From "&StartTime&" To "EndTime)

You can run either using command line.


Or by simply double clicking on “RetriveProxy.vbs”.


In above script,

  • You can modify the property name you wish to retrieve from AD. I have used “proxyAddress” you can have “whenCreated”, “whenChanged” OR any other available object properties.
  • You can change IP OR FQDN of Domain controller. It can be without IP/FQDN as well, Eg. “LDAP:// CN=user1,OU=Myusers,DC=domain,DC=local”, in that case it will connect nearest available domain controller.
  • Adding variable ‘StartTime’ OR ‘EndTime’ is completely optional, I have used it so I can see time taken during retrieval so that I can compare it other application doing similar stuff. If it take longer time then expected then definitely some of n/w resources are at fault somewhere.

Following is the modified version so it can run against all objects of an OU (Organizational unit).

REM wscript.echo Starttime
Set objUsers=GetObject("LDAP://,DC=domain,DC=local")
objUsers.Filter = Array("User")
Dim AllUsersProxy
For Each obj In objUsers
   AllUsersProxy=AllUsersProxy&"  "&obj.proxyAddresses&vbnewline
wscript.echo("Proxy Addresses: "&vbnewline&AllUsersProxy&"Bind took "&TimeTaken&" Seconds, From " &StartTime&" To "&EndTime)

Please note, this script retrieve two properties and output will be new line for each objects.




Analyze IIS log using PowerShell

In my last blog, you learn how IIS (or similar) log can be uploaded to SQL DB. Once logs are uploaded you can analyze it using PowerShell and create fancy report as well. Let’s see how this can be done.

Following script gives number of request per IIS page with response code.

Use IISLogReview
     SELECT TOP 20 [sc-STATUS] Response, [cs-uri-stem] Access_Page,  count(*) Total_Request from IISLOG
     GROUP BY [sc-STATUS],  [cs-uri-stem]
$SqlOut1=Invoke-Sqlcmd -ServerInstance SQL1 -Query $Query1 -QueryTimeout 65535
$PrintOut1=$SqlOut1|Select-Object Response,Access_Page,Total_Request|Format-Table -AutoSize


Following script gives number of request per user.

Use IISLogReview
    SELECT COUNT(*) Total_Request, [s-username] UserName  FROM IISLOG
    GROUP BY [s-username]
    ORDER BY Total_Request DESC"
$SqlOut2=Invoke-Sqlcmd -ServerInstance SQL1 -Query $Query2 -QueryTimeout 65535
$PrintOut2=$SqlOut2|Select-Object Total_Request,UserName |Format-Table -AutoSize


This is the complete tool/function however this time it will generate a HTML output.

Function AnalyseIIS
    #Default SQL will be local host
    #Default HTML File will be c;\temp\yyyymmdd.html

        "Use IISLogReview
        SELECT TOP 20 [sc-STATUS] Response, [cs-uri-stem] Access_Page,  count(*) Total_Request from IISLOG
        GROUP BY [sc-STATUS],  [cs-uri-stem]

        "Use IISLogReview
        SELECT COUNT(*) Total_Request, [s-username] UserName  FROM IISLOG
        GROUP BY [s-username]
        ORDER BY Total_Request DESC"

    $a = ""
    $a = $a + "BODY{background-color:peachpuff;font-family: Calibri; font-size: 12pt;}"
    $a = $a + "TABLE{border-width: 1px;border-style: solid;border-color: black;border-collapse: collapse;}"
    $a = $a + "TH{border-width: 1px;padding: 0px;border-style: solid;border-color: black;}"
    $a = $a + "TD{border-width: 1px;padding: 0px;border-style: solid;border-color: black;}"
    $a = $a + ""

    $SqlOut1=Invoke-Sqlcmd -ServerInstance $SQLServer -Query $Query1 -QueryTimeout 65535
    $PrintOut1=$SqlOut1|Select-Object Response,Access_Page,Total_Request| ConvertTo-HTML -PreContent '</pre>
<h2>Statistics Based on IIS Reponse, Page and Count</h2>
'  -head $a |Out-String

    $SqlOut2=Invoke-Sqlcmd -ServerInstance $SQLServer -Query $Query2 -QueryTimeout 65535
    $PrintOut2=$SqlOut2|Select-Object Total_Request,UserName | ConvertTo-HTML -PreContent '</pre>
<h2>Statistics Based on UserName and Count</h2>
'  -head $a |Out-String

    ConvertTo-Html -Title "IIS Log Analysis" -PostContent $PrintOut1,$PrintOut2 |Out-File $HTMLFile
    Invoke-Item $HTMLFile #open html after processing

#OR Run with Parameter, Eg.
#AnalyseIIS -SQLServer SQL1 -HTMLFile C:\TEMP\IISReview.html 


You can have different select queries based on analysis you need and I believe my last two blogs can give you direction on how large set of text files can be uploaded to SQL then analyze it using PowerShell.