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.

CreateResource.jpg

 

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.

StorageAccount.jpg

 

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

DashBoard.jpg

 

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.

Container.jpg

 

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

AccessKey.jpg

 

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.

Upload.jpg

 

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.

CloudBerry.jpg

 

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

CloudBerryCopypaste.jpg

 

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:https://myaccount.blob.core.windows.net/mycontainer /Dest:C:\myfolder /SourceKey:key /S

Example.

AzCopy /Source:https://appazurestorage1.blob.core.windows.net/myappbucket /Dest:C:\temp\Azure /SourceKey:pQrvBr+rwoI9psWKx73SKcrE8M0JW+ZUQeIY05CJ+PJMGSFMpXV+U9Maygbtiwtc69+aPkabmZna6hxfhuw2NA== /S /sourceType:blob

 

c1.jpg

 

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

AzCopy /Source:C:\myfolder /Dest:https://myaccount.blob.core.windows.net/mycontainer /DestKey:key /S

Example

AzCopy /Source:C:\temp\Azure\upload /Dest:https://appazurestorage1.blob.core.windows.net/myappbucket /DestKey:pQrvBr+rwoI9psWKx73SKcrE8M0JW+ZUQeIY05CJ+PJMGSFMpXV+U9Maygbtiwtc69+aPkabmZna6hxfhuw2NA== /S

 

c2.jpg

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

loginroot.jpg

Select IAM under ‘Security, identity and compliance’ container

IAM

Add a new user for API or Console access.

CreateUser.jpg

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.

UserProperties.jpg

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

Permission.jpg

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.

UserDetails.jpg

Select ‘S3’ from ‘Storage’ section.

S3Page.jpg

 

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.

CreateBucket.jpg

You can upload files manually using AWS Console.

Upload.jpg

 

Testing bucket access using on premise application.

Method 1-using CloudBerry

Install Cloudberry (freeware), Connect to AWS S3 bucket

CloudBerryTest.jpg

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

CloudBerry-copypaste.jpg

 

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

Get-S3Bucket

Ps1.jpg

Show all contents of specified bucket.

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

PS2.jpg

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.

Signin

 

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

IAM.jpg

 

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

DashBoard.jpg

 

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

ManageMFA.jpg

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.

AfterEanble.jpg

 

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

login2.jpg

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.

StartTime=Now
REM wscript.echo Starttime
Set objUser=GetObject("LDAP://192.168.2.100/CN=user1,OU=Myusers,DC=domain,DC=local")
ProxyAddress=objUser.proxyAddresses
EndTime=Now
TimeTaken=DateDiff("s",StartTime,EndTime)
wscript.echo("Proxy Address: "&ProxyAddress", Bind took "&TimeTaken&" Seconds, From "&StartTime&" To "EndTime)

You can run either using command line.

commandout.jpg

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

window1out.jpg

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).

StartTime=Now
REM wscript.echo Starttime
Set objUsers=GetObject("LDAP://192.168.2.100/OU=MyUsers,DC=domain,DC=local")
objUsers.Filter = Array("User")
Dim AllUsersProxy
For Each obj In objUsers
   AllUsersProxy=AllUsersProxy&obj.cn&"  "&obj.proxyAddresses&vbnewline
Next
EndTime=Now
TimeTaken=DateDiff("s",StartTime,EndTime)
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.

commandout3

windowout2.jpg

 

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.

$Query1="
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]
     ORDER BY COUNT(*) DESC"
$SqlOut1=Invoke-Sqlcmd -ServerInstance SQL1 -Query $Query1 -QueryTimeout 65535
$PrintOut1=$SqlOut1|Select-Object Response,Access_Page,Total_Request|Format-Table -AutoSize
$PrintOut1

iis1.jpg

Following script gives number of request per user.

$Query2="
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
$PrintOut2

iis2.jpg

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

Function AnalyseIIS
{
    PARAM
    (
    #Default SQL will be local host
    [string]$SQLServer=$env:computername,
    #Default HTML File will be c;\temp\yyyymmdd.html
    [string]$HTMLFile='C:\TEMP\'+(Get-Date).tostring("yyyyMMddhhmm")+'.html'
    )

    $Query1=
        "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]
        ORDER BY COUNT(*) DESC"

    $Query2=
        "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>
<pre>
'  -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>
<pre>
'  -head $a |Out-String

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

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

iis3.jpg

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.

 

#default

Upload large logs files to SQL database

Most of us will agree if I say “SQL server is one of the powerful engine for query, reporting and statistic purpose”. As part of application troubleshooting, we come across many different set of logs those can be open in Notepad OR similar tools however it’s very different to take stats out it OR even open if it large. IIS log from web server is one of the nice example. Similarly you may have logs for different application such as D-trace for Enterprise vault.

Here in my blog, I am using IIS logs those can be uploaded to SQL server database using PowerShell script.

Create database (using PS script). If database already exists then it wouldn’t execute the command.

    $PrepareDB= "
    USE master
    DECLARE @DBname VARCHAR(100) ='IISLogReview'
    DECLARE @DBcreate varchar(max) ='CREATE DATABASE ' + @DBNAME
    IF  NOT EXISTS (SELECT name FROM sys.databases WHERE name = @DBname)
	    BEGIN
	    EXECUTE(@DBcreate)
	    END;
    GO
    "
    Invoke-Sqlcmd -ServerInstance SQL1 -Query $PrepareDB

Create table. If table already exists then it will skip but truncate existing rows so it hold only newest sets.

    $PrepareTable= "
    USE IISLogReview
    DROP TABLE IF EXISTS dbo.IISLOG
    CREATE TABLE dbo.IISLOG (
     [DATE] [DATE] NULL,
     [TIME] [TIME] NULL,
     [s-ip] [VARCHAR] (16) NULL,
     [cs-method] [VARCHAR] (8) NULL,
     [cs-uri-stem] [VARCHAR] (255) NULL,
     [cs-uri-query] [VARCHAR] (2048) NULL,
     [s-port] [VARCHAR] (4) NULL,
     [s-username] [VARCHAR] (16) NULL,
     [c-ip] [VARCHAR] (16) NULL,
     [cs(User-Agent)] [VARCHAR] (1024) NULL,
     [cs(Referer)] [VARCHAR] (4096) NULL,
     [sc-STATUS] [INT] NULL,
     [sc-substatus] [INT] NULL,
     [sc-win32-STATUS] [INT] NULL,
     [time-taken] [INT] NULL,
     INDEX cci CLUSTERED COLUMNSTORE
    )
    TRUNCATE TABLE [IISLogReview].dbo.IISLOG
    "
   Invoke-Sqlcmd -ServerInstance SQL1 –Query $PrepareTable

Once database & table is prepared then you can upload multiple IIS log files placed at given location using either ‘Bulk insert’ OR ‘BCP’.

Bulk Insert script

    $FolderPath='F:\IIS'
    $IISFiles=Get-ChildItem -Path $FolderPath -Name
    foreach ($File in $IISFiles)
        {
        $PATH=$FolderPath+'\'+$File
        $UploadQuery="
        BULK INSERT [IISLogReview].dbo.IISLOG
        FROM '$($PATH)'
        WITH (
            FIRSTROW = 2,
            FIELDTERMINATOR = ' ',
            ROWTERMINATOR = '\n'
              )"
        Invoke-Sqlcmd -ServerInstance SQL1 -Query $UploadQuery
        }

Please note, you may see “Bulk load data conversion” error those can ignored as IIS logs have few middle lines those are not well formatted and doesn’t need to be upload.

The upload activity can also be performed using BCP,  my favorite for import/export to/from SQL server.

    $FolderPath='F:\IIS'
    $IISFiles=Get-ChildItem -Path $FolderPath -Name
    foreach ($File in $IISFiles)
        {
        $PATH=$FolderPath+'\'+$File
        $PATH
        bcp [IISLogReview].dbo.IISLOG in $PATH -c -t" " -r\n -T -S SQL1
        }

Here is complete script, make sure to change SQL server name & IIS folder location at the end of the script.

Function UploadIIS
{
    PARAM
    (
    [Parameter(Mandatory=$true)]
    [string]$SQLServer,
    [Parameter(Mandatory=$true)]
    [string]$IISlogFolder
    )
    $PrepareDB= "
    USE master
    DECLARE @DBname VARCHAR(100) ='IISLogReview'
    DECLARE @DBcreate varchar(max) ='CREATE DATABASE ' + @DBNAME
    IF  NOT EXISTS (SELECT name FROM sys.databases WHERE name = @DBname)
	    BEGIN
	    EXECUTE(@DBcreate)
	    END;
    GO
    "
    $PrepareTable= "
    USE IISLogReview
    DROP TABLE IF EXISTS dbo.IISLOG
    CREATE TABLE dbo.IISLOG (
     [DATE] [DATE] NULL,
     [TIME] [TIME] NULL,
     [s-ip] [VARCHAR] (16) NULL,
     [cs-method] [VARCHAR] (8) NULL,
     [cs-uri-stem] [VARCHAR] (255) NULL,
     [cs-uri-query] [VARCHAR] (2048) NULL,
     [s-port] [VARCHAR] (4) NULL,
     [s-username] [VARCHAR] (16) NULL,
     [c-ip] [VARCHAR] (16) NULL,
     [cs(User-Agent)] [VARCHAR] (1024) NULL,
     [cs(Referer)] [VARCHAR] (4096) NULL,
     [sc-STATUS] [INT] NULL,
     [sc-substatus] [INT] NULL,
     [sc-win32-STATUS] [INT] NULL,
     [time-taken] [INT] NULL,
     INDEX cci CLUSTERED COLUMNSTORE
    )
    TRUNCATE TABLE [IISLogReview].dbo.IISLOG
    "
    $Queries = $PrepareDB,$PrepareTable
    foreach ($Query in $Queries)
        {
        Invoke-Sqlcmd -ServerInstance $SQLServer -Query $Query
        }
    $IISFiles=Get-ChildItem -Path $IISlogFolder -Name
    foreach ($File in $IISFiles)
        {
        $PATH=$IISlogFolder+'\'+$File
        bcp [IISLogReview].dbo.IISLOG in $PATH -c -t" " -r\n -T -S $SQLServer
        }
}

UploadIIS -SQLServer SQL1 -IISlogFolder F:\IISFolder

Although few of next blogs will be on analysis of IIS log uploaded on SQL but there is always a way to manually query the uploaded data using adhoc queries via SQL management studio.

 

SQL table export using PowerShell

Most of the PowerShell guys may need to extract data from SQL databases. There could be two or more ways to do the same task however as per my latest findings in one of the project I figured out including BCP in our script is the best way to achieve that. In my following two examples I am using AdventureWorksDB and a SQL query that write data into a text file.

Example 1 using Invoke-SQLCmd.

$SQLQueryy= "USE AdventureworksDW2016CTP3
SELECT  ProductKey, OrderDateKey, ShipDate FROM [dbo].[FactResellerSalesXL_CCI]
WHERE ProductKey =532"
$StartTime = (Get-Date)
Invoke-Sqlcmd -ServerInstance SQL2 -Query $SQLQueryy -QueryTimeout 65535 |Format-Table -HideTableHeaders -AutoSize |Out-File 'C:\temp\via_InvokeSQL.txt'  -Width 500
$Endtime=(Get-Date)
$TotalTime = "Total Elapsed Time : $(($Endtime-$StartTime).totalseconds) seconds"
$TotalTime

UsingSQLCmd.jpg

This script takes almost 14 seconds to extract the rows from SQL.

Example 2 Using BCP

$StartTime = (Get-Date)
bcp  "USE AdventureworksDW2016CTP3 SELECT  ProductKey, OrderDateKey, ShipDate FROM [dbo].[FactResellerSalesXL_CCI] WHERE ProductKey =532"  queryout 'C:\temp\via_BCP.txt' -T -c -S SQL2
$Endtime=(Get-Date)
$TotalTime = "Total Elapsed Time : $(($Endtime-$StartTime).totalseconds) seconds"
$TotalTime

UsingBCP.jpg

This query take less than 1 seconds with neat & clean output file.