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DevOps Dynamo Project

Welcome to the DevOps Dynamo Project Overview! In this document, I will provide a summary of a comprehensive DevOps project I have completed. This project encompasses various tools and practices to enhance the software development, deployment, and monitoring processes. If you would like to see the github repository. It is located here: https://github.com/AMohamed0/DevopsProject

Project Scope

The primary objective of this project was to establish a robust DevOps pipeline while automating infrastructure provisioning and optimizing development workflows. Below, I will outline the key components and highlights of this project.

Infrastructure and Environment

  • Terraform for Infrastructure: Leveraged Terraform to automate the setup of cloud resources, networks, and security configurations.

  • Jenkins Controller: Created a Jenkins controller instance to centralize CI/CD pipelines management.

  • Build Node: Provisioned a dedicated build node to build and test application code.

  • Ansible for Configuration: Utilized Ansible for automated configuration management tasks across the infrastructure.

EC2Instances.png AnsibleSetup.png

CI/CD Pipeline Automation

  • Jenkins and Ansible Integration: Configured Jenkins controller and build node using Ansible playbooks to ensure consistent environments.

  • Jenkins Pipeline Setup: Defined Jenkins pipeline jobs for automating the build, test, and deployment processes.

  • Jenkinsfile Creation: Crafted Jenkinsfiles from scratch to define customized pipeline stages.

  • Multibranch Pipeline: Implemented a multibranch pipeline for continuous integration across various code branches.

  • GitHub Webhook Integration: Enabled GitHub webhooks to trigger automated builds and deployments upon code changes.

MavenSetup.png JenkinsCISetup.png Jenkins.png GithubWebhook.png

Code Quality and Security

  • SonarQube Integration: Integrated SonarQube for code quality analysis and adherence to coding standards.

  • Sonar Scanner Execution: Executed the SonarQube scanner to assess code quality and security.

  • Custom SonarQube Rules: Defined custom rules and gates within SonarQube to enforce coding standards and security practices.

  • SonarQube Callbacks: Set up callback rules to notify development teams of code quality issues.

SonarQube.png

Artifact Management

  • JFrog Artifactory Configuration: Established JFrog Artifactory to store Docker images and other artifacts.

  • Docker Containerization: Created Dockerfiles to containerize application components.

DockerRunning.png ContainerInfo.png DockerImagesJfrog.png

Kubernetes Deployment

  • Provisioning Kubernetes Objects: Deployed Kubernetes objects such as pods, services, and deployments to facilitate application deployment.

  • Helm Chart Deployment: Utilized Helm charts for simplified management of Kubernetes deployments and releases.

AppDeploy.png

Monitoring and Observability

  • Prometheus and Grafana Setup: Configured Prometheus and Grafana using Helm charts to monitor the Kubernetes cluster and application performance.

PrometheusPods.png Grafana.png GrafanaGraph.png

Conclusion

This DevOps project encompasses an array of tools and technologies to automate and streamline development, deployment, and monitoring. The integration of Jenkins, Terraform, Ansible, SonarQube, JFrog Artifactory, Kubernetes, Prometheus, and Grafana has resulted in a powerful and scalable DevOps pipeline.

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