Complete CI/CD Pipeline - GitHub Actions, GitHub, SonarCloud, Docker, Trivy & Amazon ECR & EKS
About this lesson
Support Us: https://buymeacoffee.com/iquantconsult GitHub Repo: https://github.com/iQuantC/Complete_CICD_02 ๐ Description: Welcome to our step-by-step guide on building a complete CI/CD pipeline from scratch! In this video, weโll walk you through the entire process of automating your deployment workflow using GitHub Actions with some of the industryโs most powerful tools: GitHub, GitHub Actions, NPM, SonarCloud, Docker, Trivy, Amazon ECR, DockerHub, Amazon EKS, and Amazon ELB. ๐ What Youโll Learn: 1. Setting Up a GitHub Repository: Organize and version your project for a seamless pipeline. 2. Automating Tests & Vulnerability Scans: Learn to use NPM for dependencies and SonarCloud for static code analysis, ensuring your code meets the highest standards. 3. Building & Scanning Docker Images: Discover how to containerize your application with Docker and secure it using Trivy vulnerability scans. 4. Pushing to Repositories: Push your Docker image to DockerHub and Amazon ECR for easy access and deployment. 5. Deploying to Amazon EKS: Set up an Amazon Elastic Kubernetes Service (EKS) cluster for scalable, resilient deployments. 6. Using Amazon ELB: Integrate Amazon Elastic Load Balancer (ELB) to balance your applicationโs traffic and ensure high availability. This guide is perfect for developers looking to streamline their deployment workflows, enhance security, and automate the entire CI/CD process from code to deployment. ๐ง Tools & Technologies Covered: 1. GitHub & GitHub Actions: Automate CI/CD workflows 2. NPM: Manage dependencies 3. SonarCloud: Code quality analysis 4. Docker: Containerize your application 5. Trivy: Scan Docker images for vulnerabilities 6. Amazon ECR & DockerHub: Image repositories 7. Amazon EKS & ELB: Scalable container orchestration and load balancing ๐ Timestamps: 0:00 intro 2:00 Code checkout 8:26 Install NPM dependencies 11:14 SonarQube Code Analysis with SonarCloud SAAS 17:00 Build Docker Image 20:53 Scan Docker Image with Tri
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