Friday, November 26, 2021

AWS and Azure Cloud and DevOps Coaching Online Classes - Jan 2023 Schedule

Are you in IT? Tired of your work? Are you not able to make any good progress in your career? 

Are you not having a job? Looking for a break in IT? Are you interested in learning DevOps? 
Did you get laid off from your previous job due to Covid-19
You are in the right place to kick start your career in DevOps. DevOps is one of the top and hot IT skills right now. Currently almost all the employers are struggling to get right resources in their teams who can do the DevOps and automation work..You could be that person by attending this coaching program.

DevOps Coaching Classes schedules for Jan 2023:

Jan 7th09:45 AM to 11:30 AM CST on Saturdays
10:30 AM to 12:30 pm CST on Sundays
Jan 19th6:00 to 8:00 PM CSTWeekdaysTuesdays/Thursdays

DevOps Coaching Highlights:

- Comprehensive hands on knowledge on Git, Jenkins, Maven, SonarQube, Nexus, Terraform, Ansible, Puppet, Docker, AWS IAM, ECR, Docker registry. AWS and Azure cloud platforms.

- Coach is having about 22+ yrs of professional IT experience, 8+ Yrs in DevOps/Cloud/Automation.

- Many students already got placed in reputed companies from this coaching program successfully.

- Working as a Sr.DevOps Coach/Architect in a one of the top IT services companies in USA.

- Unique program...less theory, more hands on lab exercises...
Resume preparation will be done with candidates personally.

One-to-one Interview coaching.

- Coaching is purely hands on with 101% job relevant.

100% Job assistance.

- Coached about 1300+ people successfully for past 4 and half years and many of my students got placed with many large enterprises in DFW, Charlotte, Houston, Austin, Chicago, Florida, Seattle, Bay area, Ohio, NJ and NY areas..

To join coaching classes, contact the Coach below:

Contact no # : +1(469)733-5248
Email id:
Contact: Coach

If you live in India, please contact assistant coach Gunal to learn about the program:

Name - Gunal
Email id:
Contact no: +91 87600 02237

Sunday, November 14, 2021

Integrate Artifactory with Jenkins - Upload Artifacts from Jenkins to Artifactory - How to Integrate Jenkins with Artifactory

How to Integrate Jenkins with Artifactory?

You can install Artifact plug-in to integrate Artifactory with Jenkins. Let us see how to integrate Jenkins with Artifactory and able to upload War/Ear/Jar files using Maven.

Install Artifactory plugin in Jenkins.
go to Jenkins, Manage Jenkins, Manage plug-ins page, search for artifactory under available tab.

Make sure Maven 3 is also configured under Manage Jenkins--> Global Tool configuration
Enter Name as Maven3
/usr/share/maven as MAVEN_HOME

Configure Arifactory in Jenkins:
Once you successfully install Artifactory plug-in, 
1. Go to Manage Jenkins, Click on configure system. Look for JFrog section, click on JFrog Platform instance.
Enter some name for Instance_ID and enter Artifactory url like below:

2. Click on Advanced configuration
Enter Artifactory URL again

 and also distribution URL as below

3. Add Credentials Entry

Enter admin as username and enter Artifactory password as Admin123
Click on Test connection to verify everything is right.

4. Once you installed the above plug-in, click on existing Freestyle job configuration.
4. Go under Build environment
Select Maven 3 - Artifactory integration check box
and click on refresh Repositories and choose repos as mentioned below:

 5.Click on Add Build step and choose Invoke Artifactory Maven 3

6. Enter value as below, MyWebApp/pom.xml as root POM
and goal as install

7. Now click on Build, Jenkins should build using Maven and upload WAR file into Artifactory.

8. Login to Artifactory, Click on Artifactory --> Artifacts

Click on Builds to see the artifacts

That's it folks!

Monday, November 8, 2021

How to Deploy Docker Containers into AKS cluster using Azure Pipelines | Deploy Docker Image into AKS cluster using Azure Release Pipelines

We are going to learn how to deploy Docker containers into Azure Kubernetes Cluster(AKS) using Azure pipelines.


1. AKS cluster needs to be up running. You can create AKS cluster using one of the below options:

2. ACR is also setup in Azure cloud. 
3. Already created Azure DevOps dashboard in 
4. Dockerfile created along with the application source code

Implementation Steps
Step 1 - Create Azure Build pipeline for building Docker images and uploading into ACR
Step 2 - Create Azure Release pipeline for deploying Docker containers into AKS
Step 1 - How to create a Azure Build Pipeline

1. Login into your Azure DevOps dashboard
2. Click on Pipelines.

3. Click on New Pipeline

4. Click on use the classic editor
Enter your repo name and branch name where you have stored your source code along with Dockerfile

Click on Continue. Now choose the template by typing Docker, Select Docker container and Apply.

Now pipeline is created with two tasks already. We need to configure it.

Let's modify Build an image task.

Select Push an image task

Add a task for Copying YAML file, enter the Kubernetes deployment YAML file

Add Publish artifact task

Now click Save + Queue and run to start Building the pipeline

Once the build is completed, you should be able to see the Docker images under 
Services --> Repositories

Step 2 - How to Create Release pipeline for deploying Docker containers into AKS Cluster 

Go to Pipelines --> Click on Releases --> New Release pipeline

Click on Stage 1 and choose a template by selecting
Deploy to a Kubernetes cluster and click on Apply

Change the stage name to Deploy to AKS

Now click on Add an artifact

Select the Build pipeline and click on the latest version

Now click on Deploy to AKS stage
Click on kubectl apply

Now Click on New to enter AKS cluster connection info

Choose the Azure subscription and enter Microsoft user credentials.

Select AKS cluster from the drop down, choose default namespace

Choose command as apply and select the yaml file from the dropdown from Configuration file 

Now click on Save,
Click on Create a release
and then click Create to run the deployment

Click on Stage to see the logs

Now you will the following tasks are in green to confirm Deployment was successful.

Let's check if deployment created any pods

kubectl get deployments

kubectl get pods

kubectl get svc

Now try to access application running inside AKS cluster by using external IP and port number

Go to the browser enter http://external IP:5000