Real-Time Corporate CI/CD DevOps Pipeline Project – Hands On

Real-Time Corporate CI/CD DevOps Pipeline Project – Hands On, available at $44.99, has an average rating of 4.83, with 74 lectures, based on 3 reviews, and has 76 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginners in the world of CI, CD, and DevOps who are interested in establishing a solid foundation in the fundamental concepts. or Interested in learning about DevOps workflow. It is particularly useful for Beginners in the world of CI, CD, and DevOps who are interested in establishing a solid foundation in the fundamental concepts. or Interested in learning about DevOps workflow.

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Summary

Title: Real-Time Corporate CI/CD DevOps Pipeline Project – Hands On

Price: $44.99

Average Rating: 4.83

Number of Lectures: 74

Number of Published Lectures: 74

Number of Curriculum Items: 74

Number of Published Curriculum Objects: 74

Original Price: ₹1,199

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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.

Target Audiences

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.

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 Overview

Section 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 cluster

Section 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 repository

Section 6: Customize the Jenkins

-> Installing the required plugins on the Jenkins server

-> Configure tools:JDK,sonarqube scanner,maven,docker

Section 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 project

Section 8: Compile and run unit test cases on source code

-> Compile the source code

-> Run unit test cases

Section 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 pipeline

Section 11: Build the package: Using maven tool

-> Build the package

Section 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 artifact

Section 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 Job

Section 14: Docker Image Scanning by Trivy tool

-> Docker Image Scanning by Trivy tool

Section 15: Push the docker image to DockerHub

-> Push the docker image to DockerHub

Section 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 job

Section 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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Course Overview

Chapter 2: Set up a Kubernetes cluster in an AWS environment

Lecture 1: Overview of the Kubernetes cluster created with Kubeadm

Lecture 2: Create three VMs: one master and two worker nodes

Lecture 3: Access the VMs using MobaXterm software

Lecture 4: SSH from the master node to the worker node using a private key

Lecture 5: Set the hostname, update the hosts file, and disable swap

Lecture 6: Install a container runtime

Lecture 7: Install kubeadm, kubelet and kubectl

Lecture 8: Initialize the K8s cluster

Lecture 9: Troubleshooting the Kubernetes Cluster Issue

Lecture 10: Join Worker Nodes to the Cluster

Chapter 3: Security Scan by KubeAudit on Kubernetes Cluster

Lecture 1: Overview of Security Scan by KubeAudit

Lecture 2: Download and Install KubeAudit

Lecture 3: Use KubeAudit to scan the manifest file

Lecture 4: Use KubeAudit to scan the Cluster

Lecture 5: Use KubeAudit to scan the local

Chapter 4: Set up VM's for Jenkins, Nexus, Maven, and SonarQube tools.

Lecture 1: Create VM's for SonarQube & Nexus

Lecture 2: Install SonarQube using Docker – 1

Lecture 3: Install SonarQube using Docker – 2

Lecture 4: Access the SonarQube server through the web URL

Lecture 5: Install Nexus using Docker – 1

Lecture 6: Install Nexus using Docker – 2

Lecture 7: Access the Nexus server through the web URL

Lecture 8: Create a VM for Jenkins Server

Lecture 9: Install Jenkins on an Ubuntu virtual machine

Lecture 10: Access the Jenkins server through the web URL

Lecture 11: Customize the Jenkins

Chapter 5: Git Bash and GitHub

Lecture 1: Create a private repository on GitHub

Lecture 2: Install Git Bash and then clone the repository

Lecture 3: Push the source code to a GitHub repository

Chapter 6: Customize the Jenkins

Lecture 1: Installing the required plugins on the Jenkins server

Lecture 2: Configure tools: JDK, SonarQube Scanner, Maven, Docker

Chapter 7: Create a Jenkins pipeline job to check out the project

Lecture 1: Create a job on Jenkins

Lecture 2: Create credentials to access a private GitHub repository

Lecture 3: Pipeline to checkout the project

Chapter 8: Compile and run unit test cases on source code

Lecture 1: Compile the source code

Lecture 2: Run unit test cases

Chapter 9: Trivy tool – Vulnerability Scan on Source Code

Lecture 1: Download and Install Trivy Tool

Lecture 2: Vulnerability scan by Trivy using CICD Pipeline

Chapter 10: SonarQube – Code quality tool for better code

Lecture 1: Configure SonarQube Server

Lecture 2: Add a stage to the CI/CD pipeline for SonarQube analysis

Lecture 3: Build the SonarQube Job

Lecture 4: Wait for SonarQube analysis

Lecture 5: Add a stage WaitforQualityGate to the CI/CD pipeline

Chapter 11: Build the Package: Using Maven Tool

Lecture 1: Build the Package

Chapter 12: Upload the artifact to the Nexus Repository

Lecture 1: Overview of Sonatype Nexus Repository

Lecture 2: Add a Global Maven settings.xml from Managed files

Lecture 3: Add a stage Publish the Artifact into Nexus Repository

Lecture 4: Build the Job – Publish the Artifact

Chapter 13: Build and Tag the Docker Image

Lecture 1: Build and tag the Docker Image

Lecture 2: Create a Dockerfile

Lecture 3: Add an entry for Maven snapshots in the pom.xml file

Lecture 4: Build the Job

Chapter 14: Docker Image Scanning by Trivy tool

Lecture 1: Docker Image Scanning by Trivy tool

Chapter 15: Push the Docker Image to Docker Hub

Lecture 1: Push the Docker Image to Docker Hub

Chapter 16: Deploy the application to a Kubernetes cluster environment

Lecture 1: Create a service account on cluster

Lecture 2: Create a role and bind it with the Service Account on Cluster

Lecture 3: Create a Authorization token

Lecture 4: Add a stage to deploy the docker image to K8s Cluster

Lecture 5: Create a deployment & service yaml file

Lecture 6: Install kubectl, kubeadm, and Kubelet on the Jenkins Server

Lecture 7: Build the Job

Chapter 17: Monitoring with Prometheus and Grafana

Lecture 1: Download and Install Prometheus

Lecture 2: Download and Install Grafana

Lecture 3: Download and Install Blackbox Exporter

Lecture 4: Edit the prometheus.yml file and add the necessary entry

Lecture 5: Access Prometheus by using the URL to reach the target

Lecture 6: Visualize the application data using Grafana

Lecture 7: Install plugins on Jenkins for system metrics

Lecture 8: Monitor server metrics using Prometheus with Node Exporter

Lecture 9: Visualize the server metric data using Grafana – 1

Lecture 10: Visualize the server metric data using Grafana – 2

Lecture 11: Last lecture

Instructors

Shikhar Verma • 90k+ Students Worldwide
Solutions Architect and IT Trainer

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5 stars: 2 votes

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