100% hands-on labs on deploying appl through DevOps CI/CD pipelines using Git, Jenkins, Trivy, Maven, Sonar, Docker, K8s
What you'll learn:
Set up a Kubernetes cluster in an AWS environment
Security scan by KubeAudit on Kubernetes cluster
Set up VM's for DevOps tools
Customize the Jenkins
Jenkins pipeline job to check out the project
Compile and run unit test cases on source code
Trivy tool - Vulnerability Scan on Source Code
SonarQube - Code quality tool for better code
Build the package: Using maven tool
Push the artifact to the Nexus Repository
Build and Tag the Docker Image
Docker Image Scanning by Trivy tool
Deploy the application to a K8s cluster environment
Monitoring using Prometheus and Grafana

Requirements:
Basic knowledge on AWS, Git, Maven, Jenkins, Docker and Kubernetes

Description:
If you are familiar with various DevOps tools like Git, Jenkins, Maven, Trivy, Ansible, Docker, and Kubernetes but are unsure of how they work together, then using them would be pointless or,Would you like to establish a comprehensive CI/CD pipeline utilizing a variety of DevOps tools? or,If you are interested in understanding the logical workflow of a DevOps project, then this course is designed for you.Course Content:Section 1: Introduction-> Introduction-> Course OverviewSection 2: Set up a Kubernetes cluster in an AWS environment-> Overview of the Kubernetes cluster created with Kubeadm-> Create three VMs: one master and two worker nodes-> Access the VMs using MobaXterm software-> SSH from the master node to the worker node using a private key-> Set the hostname, update the hosts file, and disable swap-> Install a container runtime-> Install kubeadm,kubelet and kubectl-> Initialize the K8s cluster-> Troubleshooting the Kubernetes clusture issue-> Join worker nodes to the clusterSection 3: Security scan by KubeAudit on Kubernetes cluster-> Overview of security scan by kubeaudit-> Download and install kubeaudit-> Use kubeaudit to scan the manifest file-> Use kubeaudit to scan the cluster-> Use kubeaudit to scan the local Section 4: Set up VM's for Jenkins,Nexus,Maven,and SonarQube tools-> Create VM's for SonarQube & nexus-> Install SonarQube using docker-1-> Install SonarQube using docker-2-> Access the SonarQube server through the web URL-> Install nexus using docker-1-> Install nexus using docker-2-> Access the Nexus server through the web URL-> Create a VM for Jenkins server -> Install Jenkins on an Ubuntu virtual machine-> Install Jenkins server through the web URL -> Customize the jenkins  Section 5: Git Bash and GitHub-> Create a private repository on GitHub-> Install Git Bash and then clone the repository-> Push the source code to a GitHub repositorySection 6: Customize the Jenkins-> Installing the required plugins on the Jenkins server-> Configure tools:JDK,sonarqube scanner,maven,dockerSection 7: Create a Jenkins pipeline job to check out the project-> Create a job on Jenkins-> Create credentials to access a private GitHub repository-> Pipeline to checkout the projectSection 8: Compile and run unit test cases on source code-> Compile the source code-> Run unit test casesSection 9: Trivy tool - Vulnerability Scan on Source Code-> Download and Install Trivy tool-> Vulnerability scan by Trivy using CICD pipeline Section 10: SonarQube - Code quality tool for better code-> Configure SonarQube server-> Add a stage to the CI/CD pipeline for SonarQube analysis-> Build the SonarQube job-> Wait for SonarQube analysis-> Add a stage WaitforQualityGate to the CI/CD pipelineSection 11: Build the package: Using maven tool-> Build the packageSection 12: Upload the artifact to the Nexus Repository-> Overview of Sonatype Nexus Repository-> Add a Global maven setting.xml from managed files-> Add a stage Publish the Artifact into Nexus Repository-> Build the job-Publish the artifactSection 13: Build and Tag the Docker Image-> Build and tag docker image-> Create a dockerfile-> Add an entry for Maven snapshots in the pom.xml file-> Build the JobSection 14: Docker Image Scanning by Trivy tool-> Docker Image Scanning by Trivy toolSection 15: Push the docker image to DockerHub-> Push the docker image to DockerHubSection 16: Deploy the application to a Kubernetes cluster environment-> Create a service account on cluster-> Create a role and bind it with the Service Account on Cluster-> Create a authorized token-> Add a stage to deploy the docker image to K8s Cluster-> Create a deployment & service yaml file-> Install kubectl,kubeadm,and kubelet in Jenkins server-> Build the jobSection 17: Monitoring with Prometheus and Grafana-> Download and install Prometheus-> Download and install Grafana-> Download and install blackbox exporter-> Edit the prometheus.yml file and add the necessary entry-> Access Prometheus by using the URL to reach the target-> Visualize the application data using Grafana-> Install plugins on Jenkins for system metrics-> Monitor server metrics using Prometheus with Node Exporter-> Visualize the server metric data using Grafana - 1-> Visualize the server metric data using Grafana - 2-> Last Lecture

Who this course is for:
Beginners in the world of CI, CD, and DevOps who are interested in establishing a solid foundation in the fundamental concepts.
Interested in learning about DevOps workflow.

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