🚀 Live AI-Enabled DevSecOps & Cloud Engineering Bootcamp – Sep 2026

 Live AI-Enabled DevSecOps & Cloud Engineering Bootcamp from Coach AK - Sep 2026 Schedule

Complete AI-Enabled DevOps Learning Roadmap for 2026 | Skills Required to Become a Modern DevSecOps Engineer

🚀AI-Enabled DevOps Engineer Roadmap for 2026

The future belongs to AI-Enabled DevOps Engineers, not AI-only Engineers. Strong DevOps fundamentals combined with AI productivity skills will create the highest demand in the job market.

AI is not a replacement for DevOps skills. 

Top AI and DevOps skills

1. Linux knowledge and scripting - basic troubleshooting and scripting and looking at the logs
2. Experience in Git, GitHub, GitLab, Bitbucket, Azure Repos or any source code management tools.
3. Experience in CI tools such as Jenkins, GitHub Actions, GitLab CICD, Azure DevOps
4. Experience in Code quality tool/security scanning tools - SonarQube, AquaSec Trivy, Checkov
5. Experience in Infrastructure automation tools such as Terraform, AWS cloud formation
6. Experience in Configuration Management tools such as Ansible, Puppet or Chef
7. Experience in scripting languages such as YAML, groovy, Ruby, Python and Shell
8. Experience in containers such as Docker, Kubernetes and Helm
9. Experience in Monitoring tools such as Prometheus, Grafana
10. Ability to troubleshoot in case builds, deployments failure.
11. Any cloud knowledge and experience - AWS, Azure and Google cloud
12. AI-assisted DevOps and Cloud Engineering
13. AI-assisted Troubleshooting and RCA
14. AI-assisted Infrastructure Automation
15. AI-assisted DevSecOps
16. AI-assisted Kubernetes Operations
17. Understanding AI Agents, RAG and SRE Automation

Soft skills employers are looking:

These days employers are not only looking for strong technical skills but also looking "soft skills" which are essentials to become successful in IT. If you think if you are lagging on any of these skills, no worries. All these skills can be developed and improved over period of time by practicing.

• Open minded
• Willingness to learn new skills
• Communication
• Approachable
• "Get it done" attitude
• Being adaptable

How to integrate SonarQube with GitLab CICD Pipeline | SonarQube Integration with GitLab CICD | Automate Code Scan using SonarQube In GitLab CICD

 Please find steps for integrating SonarQube with GitLab CICD

Pre-requisites:

• Make sure SonarQube is up and running
• Make sure Java Project is setup in GitLab

How to integrate SonarQube with GitLab CICD:

We will be following below steps:

• Create Token in SonarQube to authenticate with GitLab
• Add Sonar Token, SonarQube URL as Secrets in GitLab
• Create GitLab CICD yaml
• Add tasks for Maven build and Sonar Scan
• Verify scan report in SonarQube

Create Token in SonarQube to authenticate with GitLab

You need to login to SonarQube using your admin password and click on Admin on your top side.

Click on My Account, Security. 

Under Tokens, Give some value for token name and choose global analysis token, click on generate Tokens. Copy the token value generated.

Add Sonar Token and Sonar Host URLs as Secret in GitLab

Go to your GitLab Repo --> Click on Settings --> CICD --> Variables

Click new Repository Secret

Add another variable for storing Sonar token

Create GitLab CICD workflow yaml:

Go to GitLab repo where your Java project is, create a new file:.gitlab-ci.yml

The below file have three stages:

    - build

    - sonar

    - deploy

Create .gitlab-ci.yml CICD Pipeline:

stages:

  - build

  - sonar

  - deploy

build_war:

  stage: build

  image: maven:3.8.6-eclipse-temurin-11

  script:

    - echo "Building WAR file using Maven"

    - mvn clean install -f MyWebApp/pom.xml

    - echo "Listing target directory"

    - ls -la MyWebApp/target

  artifacts:

    paths:

      - MyWebApp/target/*.war

    expire_in: 1 hour

sonarqube_scan:

  stage: sonar

  image: maven:3.9.6-eclipse-temurin-17

  script:

    - |

      mvn sonar:sonar \

        -f MyWebApp/pom.xml \

        -Dsonar.projectKey=MyWebApp \

        -Dsonar.host.url="${SONAR_HOST_URL}" \

        -Dsonar.token="${SONAR_TOKEN}"

      

deploy_to_tomcat:

  stage: deploy

  image: curlimages/curl:latest

  dependencies:

    - build_war

  script:

    - echo "Deploying WAR file to Tomcat running on AWS EC2"

    - |

      curl -v -u ${TOMCAT_USER}:${TOMCAT_PASSWORD} \

      -T MyWebApp/target/MyWebApp.war \

      "http://${TOMCAT_HOST}/manager/text/deploy?path=/MyWebApp&update=true"

Commit the file.

As soon as you commit, build will run immediately in GitLab CICD. 

Now you can see the output of build in Actions tab.

Now login to SonarQube to see the Scan report

How to Implement CICD Pipeline using GitLab Yaml | GitLab CICD Tutorials | GitLab CICD Pipeline | Build Java WAR file using GitLab CICD YAML file

Here below is the code for creating GitLab CICD yaml file for Java Web App project to automate build and deployment. 

What is GitLab CICD?

GitLab CI/CD is a continuous integration and continuous deployment solution built into GitLab.

GitLab CI/CD

GitLab CI/CD is a feature of GitLab that automates:

• Building code
• Testing applications
• Scanning code
• Deploying applications

whenever developers push code into Git repositories.

What is .gitlab-ci.yml?

The .gitlab-ci.yml file is the heart of GitLab CI/CD pipelines.

It contains:

• Pipeline stages
• Jobs
• Scripts
• Variables
• Artifacts
• Deployment instructions

GitLab automatically reads this file whenever code changes are pushed into the repository. GitLab Runner uses a Docker container image to run the job. 

Pre-requisites:

• Setup Java Project in GitLab
• Tomcat is setup
• Tomcat credentials configured 

.gitlab-ci.yml for implementing CICD using GitLab

stages:

  - build

  - deploy

build_war:

  stage: build

  image: maven:3.8.6-eclipse-temurin-11

  script:

    - echo "Building WAR file using Maven"

    - mvn clean install -f MyWebApp/pom.xml

    - echo "Listing target directory"

    - ls -la MyWebApp/target

  artifacts:

    paths:

      - MyWebApp/target/*.war

    expire_in: 1 hour

deploy_to_tomcat:

  stage: deploy

  image: curlimages/curl:latest

  dependencies:

    - build_war

  script:

    - echo "Deploying WAR file to Tomcat running on AWS EC2"

    - |

      curl -v -u ${TOMCAT_USER}:${TOMCAT_PASSWORD} \

      -T MyWebApp/target/MyWebApp.war \

      "http://${TOMCAT_HOST}/manager/text/deploy?path=/MyWebApp&update=true"

🚀 Complete AI-Enabled DevSecOps Learning Roadmap for 2026 | Skills Required to Become a Modern DevSecOps Engineer

AI-Enabled DevOps Engineer Roadmap for 2026

The future belongs to AI-Enabled DevOps Engineers, not AI-only Engineers. Strong DevOps fundamentals combined with AI productivity skills will create the highest demand in the job market.

AI is not a replacement for DevOps skills. AI is a productivity accelerator. The best DevOps Engineers of the future will combine strong DevOps fundamentals with AI-assisted problem solving, automation and operational excellence.

Top AI and DevOps skills

1. Linux knowledge and scripting - basic troubleshooting and scripting and looking at the logs
2. Experience in Git, GitHub, GitLab, Bitbucket, Azure Repos or any source code management tools.
3. Experience in CI tools such as Jenkins, GitHub Actions, GitLab CICD, Azure DevOps
4. Experience in Code quality tool/security scanning tools - SonarQube, AquaSec Trivy, Checkov
5. Experience in Infrastructure automation tools such as Terraform, AWS cloud formation
6. Experience in Configuration Management tools such as Ansible, Puppet or Chef
7. Experience in scripting languages such as YAML, groovy, Ruby, Python and Shell
8. Experience in containers such as Docker, Kubernetes and Helm
9. Experience in Monitoring tools such as Prometheus, Grafana
10. Ability to troubleshoot in case builds, deployments failure.
11. Any cloud knowledge and experience - AWS, Azure and Google cloud
12. AI-assisted DevOps and Cloud Engineering
13. AI-assisted Troubleshooting and RCA
14. AI-assisted Infrastructure Automation
15. AI-assisted DevSecOps
16. AI-assisted Kubernetes Operations
17. Understanding AI Agents, RAG and SRE Automation

Soft skills employers are looking:

These days employers are not only looking for strong technical skills but also looking "soft skills" which are essentials to become successful in IT. If you think if you are lagging on any of these skills, no worries. All these skills can be developed and improved over period of time by practicing.

• Open minded
• Willingness to learn new skills
• Communication
• Approachable
• "Get it done" attitude
• Being adaptable

How to Setup AquaSec Trivy Vulnerability Scanner | How to install AquaSec Trivy Scanner on Linux OS | Jenkins Pipeline For Scanning MyWebApp | DevSecOps Tutorials

 What is Trivy?

• open-source security scanner tool developed by Aqua Security. 
• Used for vulnerability scanning in such as 
• container images 
• file systems/folders 
• Git repositories
• Kubernetes clusters
• misconfiguration in files such as Terraform, K8S manifest files
• Trivy helps identify security issues and misconfigurations early in the software development lifecycle.

Pre-requisites:

• Any Linux instance is up and running, in our case we will use Jenkins Ubuntu machine

How to Install Trivy scanner on Jenkins Ubuntu EC2 instance?

Trivy scanner can be installed so many ways. Check here for more information. But we will be using APT package manager to install on Ubuntu EC2.

sudo apt-get install wget gnupg -y

wget -qO - https://aquasecurity.github.io/trivy-repo/deb/public.key | gpg --dearmor | sudo tee /usr/share/keyrings/trivy.gpg > /dev/null 

echo "deb [signed-by=/usr/share/keyrings/trivy.gpg] https://aquasecurity.github.io/trivy-repo/deb generic main" | sudo tee -a /etc/apt/sources.list.d/trivy.list 

sudo apt-get update 

sudo apt-get install trivy -y

Check Trivy got installed

trivy --version

This confirm that Trivy got installed successfully.

Jenkins Pipeline 

pipeline {

    agent any

    tools {

        maven 'Maven3'

    }

    stages {

        stage('Checkout') {

            steps {

                git branch: 'main', credentialsId: '', url: 'https://github.com/akannan1087/myApr2026WeekendRepo'

            }

        }

        

        stage ("build") {

            steps {

                echo "doing my build.."

                sh "mvn clean install -f MyWebApp/pom.xml"

            }

        }

    stage ("code coverage") {

        steps {

         jacoco()

        }

    }

    

    stage ("code scan") {

        steps {

        withSonarQubeEnv('SonarQube') {

            sh "mvn sonar:sonar -f MyWebApp/pom.xml"

        }

     }

    }

    

    stage ("security scan") {

        steps {

         sh "trivy fs ."

        }

    }

 }

}

Watch video in my YouTube channel:

🚀 Live AI-Enabled DevSecOps & Cloud Engineering Bootcamp – Sep 2026

Live AI-Enabled DevSecOps & Cloud Engineering Bootcamp - Sep 2026

Master AI + DevSecOps + Multi-Cloud Through 70+ Real-World Hands-On Labs

The DevOps landscape is evolving rapidly with AI. Modern organizations are looking for engineers who can build secure CI/CD pipelines, automate cloud infrastructure, leverage AI tools, and deploy applications at scale.

This bootcamp is designed to help you build those practical, job-ready skills.

🔥 What You'll Master

🤖 AI-Powered Engineering

• AI for DevOps & DevSecOps
• AI-Assisted CI/CD Pipeline Development
• AI Agents for SRE & Platform Engineering
• GitHub Copilot & Microsoft Copilot
• AI-Powered Code Reviews & Root Cause Analysis
• AI-Assisted Kubernetes Troubleshooting
• Build Your Own DevOps AI Agents

⚙️ DevSecOps & Automation

• Git, GitHub, Bitbucket & Azure Repos
• Jenkins, GitHub Actions, GitLab CI/CD & Azure DevOps
• SonarQube, Trivy, Checkov & OWASP Dependency-Check
• Nexus Repository & Slack Integration
• Terraform & Ansible Automation

☁️ Cloud & Containers

• Amazon Web Services (AWS)
• Microsoft Azure
• Docker & Kubernetes
• Helm
• Prometheus & Grafana
• Amazon EKS & Azure AKS

🤖 Learn How AI is Transforming DevOps 

• Generate CI/CD pipelines using AI
• AI-assisted Kubernetes troubleshooting
• AI-powered code reviews 
• AI-driven infrastructure automation 

• Build your own DevOps AI Agents

---

🧠 Why Students Love This Bootcamp 

✔ 70+ Hands-on Labs 
✔ Real Enterprise CI/CD Projects 
✔ Build Production-Ready Pipelines 
✔ Learn AI Tools Used by Modern DevOps Teams 
✔ Resume & LinkedIn Optimization 
✔ Mock Interviews 
✔ Lifetime Learning Community

---

👨‍💻 Perfect For 

✔ Software Engineers 
✔ System Administrators 
✔ DevOps Engineers 
✔ Cloud Engineers 
✔ QA Engineers 
✔ Platform Engineers 
✔ SRE Engineers 
✔ IT Professionals looking to switch careers 
✔ Fresh Graduates wanting Cloud & DevOps careers

📅 Schedule Options

📍 Weekend Batch

🗓 Starts September 12nd, 2026
🕤 Sat - 11:30 AM to 1:30 PM CST
🕥 Sun - 11:30 AM to 1:30 PM CST

🌎 Online using zoom!

---

📌 Why Join This Bootcamp?

✅ Fully hands on coaching
✅ Industry-Relevant Projects
✅ Expert Coaching by Coach AK
✅ Flexible Schedules for Working Pros
✅ Multi-Cloud + Security Focus
✅ Networking & Career Growth Support

---

📞 Register Now – Spots Are Limited!

📱 Please contact coach AK on +1 (469) 733-5248 (WhatsApp Available)
📧 devops.coaching@gmail.com

➡ Early Bird Discounts Available!

---

🚀 Take the Next Step in Your DevOps Career!

💡 Learn with confidence. Build with purpose. Get hired faster.

Master DevSecOps and Multi Cloud Computing Course by Coach AK | DevSecOps and Cloud Computing Online Classes | Aug 2026 Schedule

Live AI-Enabled DevSecOps & Cloud Engineering Bootcamp - Aug 2026

🚀 Supercharge your DevOps career with real-world skills!

🔥 What You’ll Learn

👉 Master leading AI, DevSecOps tools & cloud platforms including:
✔ Git, GitHub, Bitbucket, Azure Repos
✔ Jenkins, GitHub Actions, Azure DevOps
✔ SonarQube, Trivy, Nexus, Slack
✔ Terraform, Ansible
✔ Docker & Kubernetes 
✔ Helm, Prometheus & more!

🌐 AI Enabled DevSecOps, AWS & Azure Cloud Training Included!

---

🧠 Real-World, Practical Training

✔ 100% Hands-On Projects
✔ Live Interactive Sessions
✔ Career Support: Resume + Interview Prep
✔ Build Recruiter-Ready Skills!

---

📅 Schedule Options

📍 Weekend Batch
🗓 Starts Aug 15th, 2026
🕤 Sat –   09:45 AM to 11:30 AM CST
🕥 Sun – 10:30 AM to 12:30 PM CST

🌎 Online using zoom!

---

📌 Why Join This Bootcamp?

✅ Fully hands on coaching
✅ Industry-Relevant Projects
✅ Expert Coaching by Coach AK
✅ Flexible Schedules for Working Pros
✅ Multi-Cloud + Security Focus
✅ Networking & Career Growth Support

---

📞 Register Now – Spots Are Limited!

📱 Please contact coach AK on +1 (469) 733-5248 (WhatsApp Available)
📧 devops.coaching@gmail.com

➡ Early Bird Discounts Available!

---

🚀 Take the Next Step in Your DevOps Career!

💡 Learn with confidence. Build with purpose. Get hired faster.

AI-Enabled DevSecOps & Cloud Engineering Bootcamp | Coach AK's Master DevSecOps Bootcamp Program Model Information | AWS Cloud and Azure Cloud DevOps Coaching Program Model Information

Why This Bootcamp Is Different in 2026

Learning tools alone is no longer enough.

Modern DevOps Engineers are expected to:

✅ Build CI/CD pipelines
✅ Secure software supply chains
✅ Manage Kubernetes platforms
✅ Automate cloud infrastructure
✅ Use AI to troubleshoot, document and accelerate delivery

In this bootcamp you will learn the traditional DevSecOps skills that employers expect, plus how to use AI responsibly to become a more productive DevOps, Cloud, Platform or SRE Engineer.

You will learn both:

1. How the technology works

2. How AI helps you work faster and smarter

About Coach Ananth(or known as Coach AK):

• 🎓 TOGAF-Certified Architect with 24 years of IT experience, including 10+ years in DevOps and Cloud Computing.
• 🛠 Expertise in DevOps Tools: Git, BitBucket, GitHub, GitLab CICD, Jenkins, Maven, SonarQube, Nexus, Artifactory, Slack, Terraform, Ansible, Docker, Helm, Prometheus, and Kubernetes on AWS and Azure platforms.
• 🚀 Proven Success: Coached over 3000 professionals, with many placed in top-tier companies.
• 📚 Unique Learning Model: Minimal theory, maximum hands-on labs, focusing on job-relevant skills.
• 🌐 Comprehensive Cloud Training: Master AWS and Azure through a practical, immersive experience.
• ✍️ Personalized Support: Includes resume preparation and one-on-one interview coaching to help candidates stand out.
• 🎉 Milestone Achieved: Celebrating 8 years of successful coaching in August 2025.
• 🤝 Learn from the Best: Led by a Senior DevOps Coach/Architect currently working with a leading IT services company in the U.S.

Here is the coaching model:

• 🚀 12-Week Hands-On DevSecOps Coaching: Gain real-world experience with AWS and Azure cloud platforms.
• 🔧 80% Practical, 20% Theory: Over 50 lab exercises ensure you learn by doing.
• 💻 Comprehensive Tool Coverage: Master Git, GitHub, Github Actions, GitLab CICD, Jenkins, Maven, SonarQube, Nexus, Terraform, Ansible, Docker, Kubernetes, Helm, Prometheus, and more.
• 👨‍🏫 Expert-Led Training: Learn from Coach AK, a TOGAF-certified architect with 24+ years of IT experience.
• 🤝 Collaborative Learning: Get access to WhatsApp groups for troubleshooting, discussions, and peer support.
• 📄 Resume & Interview Support: Tailored guidance to make your job applications stand out.
• ✅ Proven Success: Join over 3,000 professionals who’ve advanced their careers with our program.
• 🌟 Flexible Learning Options: Designed to fit your schedule and career goals.
• 💡 Transform Your Career: Believe in yourself—anything is possible!

📈 Why Join This Bootcamp?

     ✅ Hands-on Training – Work on real-world projects

     ✅ Learn Top Security Tools – SonarQube, Aqua Trivy, Checkov, GitHub Advanced Security

     ✅ Expert-Led Live Sessions – Interactive & practical guidance

     ✅ Career Support – Resume tips, interview prep & certification guidance

     ✅ Project-Based Learning – Apply skills in real DevOps environments

Useful Links:

• Click here for the coaching schedule
• Click here to know more about the program
• Click here to know about the facts about the program

Just believe!! Anything is possible!!

Watch more about coaching model:

Master DevSecOps and Multi Cloud Computing Course by Coach AK | DevSecOps and Cloud Computing Online Classes | Aug 2026 Schedule

Live AI-Enabled DevSecOps & Cloud Engineering Bootcamp - Aug 2026

🚀 Supercharge your DevOps career with real-world skills!

🔥 What You’ll Learn

👉 Master leading AI, DevSecOps tools & cloud platforms including:
✔ Git, GitHub, Bitbucket, Azure Repos
✔ Jenkins, GitHub Actions, Azure DevOps
✔ SonarQube, Trivy, Nexus, Slack
✔ Terraform, Ansible
✔ Docker & Kubernetes 
✔ Helm, Prometheus & more!

🌐 AI Enabled DevSecOps, AWS & Azure Cloud Training Included!

---

🧠 Real-World, Practical Training

✔ 100% Hands-On Projects
✔ Live Interactive Sessions
✔ Career Support: Resume + Interview Prep
✔ Build Recruiter-Ready Skills!

---

📅 Schedule Options

📍 Weekend Batch

🗓 Starts Aug 1st, 2026
🕤 Sat –   09:45 AM to 11:30 AM CST
🕥 Sun – 10:30 AM to 12:30 PM CST

🌎 Online using zoom!

---

📌 Why Join This Bootcamp?

✅ Fully hands on coaching
✅ Industry-Relevant Projects
✅ Expert Coaching by Coach AK
✅ Flexible Schedules for Working Pros
✅ Multi-Cloud + Security Focus
✅ Networking & Career Growth Support

---

📞 Register Now – Spots Are Limited!

📱 Please contact coach AK on +1 (469) 733-5248 (WhatsApp Available)
📧 devops.coaching@gmail.com

➡ Early Bird Discounts Available!

---

🚀 Take the Next Step in Your DevOps Career!

💡 Learn with confidence. Build with purpose. Get hired faster.

How to Integrate SonarQube Cloud with GitHub Actions | GitHub Actions SonarQube Cloud Integration | Automate Static Code Quality Analysis with SonarQube Cloud from GitHub Action

 Automate Static Code Quality Analysis in SonarQube Cloud from GitHub Actions

Pre-requisites in SonarCloud:

• Login to https://sonarcloud.io/ and then click on login.

Depending on your SCM tool, We will use GitHub. So please click on it.

Enter GitHub credentials to setup your account in SonarCloud. Click Authorize SonarQube Cloud.

Go to SonarCloud → My Account → Organizations → Create/Select organization

Choose “Import from GitHub” (or connect GitHub) and Install the SonarCloud GitHub App

Start analyzing a project:

Select Project and Click on Setup:

Check any one of the options to confirm what is new code:

Select with other CI tools

Select Maven, note organization key, project key and token.

Pre-requisites in GitHub Actions:

After setting up SonarCloud successfully, login to GitHub Actions. Create two secrets SONAR_TOKEN and SONAR_HOST_URL

Sonar URL should be https://sonarcloud.io/

 

GitHub Actions CICD Workflw code for running scan in SonarCloud

name: Implement static code analysis for a Java App using SonarQube from GitHub Actions

on:

  push:

    branches:

      - main

  workflow_dispatch:

jobs:

 build:

  runs-on: ubuntu-latest

  steps:

  - name: checkout code

    uses: actions/checkout@v3

  - name: Set up JDK 17

    uses: actions/setup-java@v4

    with:

      distribution: 'temurin'

      java-version: '17'

      cache: 'maven'

  - name: Build with Maven

    run: mvn clean install -f MyWebApp/pom.xml

  - name: Run SonarQube Scan

    uses: sonarsource/sonarqube-scan-action@master

    with:

      projectBaseDir: .

      args: >

        -Dsonar.organization=akannan1087

        -Dsonar.projectKey=akannan1087_my-javawebapp-repo

        -Dsonar.java.binaries=**/target/classes

    env:

      SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}

      SONAR_HOST_URL: ${{ secrets.SONAR_HOST_URL }}

Now login to SonarCloud under --> https://sonarcloud.io/projects

Watch steps in YouTube channel:

How to Integrate SonarQube Cloud with Jenkins | Jenkins SonarQube Cloud Integration | Automate Static Code Quality Analysis with SonarQube Cloud from Jenkins

Automate Static Code Quality Analysis with SonarCloud from Jenkins

Pre-requisites in SonarCloud:

• Login to https://sonarcloud.io/
• Click on SCM tool

Depending on your SCM tool, We will use GitHub. So please click on it.

Enter GitHub credentials to setup your account in SonarCloud. Click Authorize SonarQube Cloud.

Go to SonarCloud → My Account → Organizations → Create/Select organization

Choose “Import from GitHub” (or connect GitHub) and Install the SonarCloud GitHub App

Start analyzing a project:

Select Project and Click on Setup:

Check any one of the options to confirm what is new code:

Select with other CI tools

Select Maven, note organization key, project key and token.

Pre-requisites in Jenkins:

• SonarQube plug-in - Make sure this plug-in is installed.
• pipeline stage view plug-in

After setting up SonarCloud successfully, login to Jenkins. Manage Jenkins --> Configure System --> SonarQube installation 

Server URL should be https://sonarcloud.io/

Enter Sonar token as secret text and select it from the drop down

 

Jenkins Pipeline code for running scan in SonarCloud

node {

    def mvnHome = tool 'Maven3'
    stage ("checkout")  {

        git branch: 'main', credentialsId: '', url: 'https://github.com/akannan1087/my-javawebapp-repo'

    }

   stage ('build')  {
    sh "${mvnHome}/bin/mvn clean install -f MyWebApp/pom.xml"
    }

     stage ('Code Quality scan')  {
       withSonarQubeEnv('SonarCloud') {

            sh """

              ${mvnHome}/bin/mvn -f MyWebApp/pom.xml \

             org.sonarsource.scanner.maven:sonar-maven-plugin:4.0.0.4121:sonar \

              -Dsonar.organization=org_key \

              -Dsonar.projectKey=com.dept.app:MyWebApp \

              -Dsonar.projectName=MyWebApp

            """

        }
   }

}

Now login to SonarCloud under --> https://sonarcloud.io/projects

Here is the pipeline view:

Watch steps in YouTube Video: