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A simple static website deployment with Continuous Integration, Continuous Deployment, Testing and Monitoring All-in-one (Using Jenkins, Docker, Git , Python, Loki and Grafana)

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Automated Web Deployment and Monitoring Project

Web-App-Architecture

A simple static website deployment with Continuous Integration, Continuous Deployment, Testing and Monitoring All-in-one (Using Jenkins, Docker, Git , Python, Loki and Grafana)

Usage

1. Version Control (GitHub):

  1. Create a GitHub Repository:
    • Create a new GitHub repository to host your web application code.
    • Push your web application code (HTML, CSS, JavaScript) to this repository.

2. Continuous Integration (CI) with Jenkins:

  1. Set Up Jenkins:
    • Install and configure Jenkins on a server or a cloud-based machine.
    • Install necessary plugins such as Git, Docker, and any additional plugins you may need.
  2. Create a Jenkins Job:
    • Create a new Jenkins job for your web application CI process.
    • Configure the job to pull code from your GitHub repository.
  3. Build and Test:
    • In your Jenkins job configuration, define build steps to:
      • Clone the repository.
      • Build the web application (e.g., copying files to a build directory).
      • Run basic tests (e.g., HTML/CSS validation) using relevant tools (e.g., HTML Validator, CSSLint).
      • Archive build artifacts (e.g., ZIP or tar.gz files).
  4. Configure Post-Build Actions:
    • In Jenkins, configure post-build actions to archive and publish the build artifacts.
    • Optionally, trigger deployments to specific environments if all tests pass.

3. Continuous Deployment (CD) with Docker:

  1. Create a Dockerfile:
    • In your web application code repository, create a Dockerfile to define how your application should be packaged into a Docker container.
    • Install a simple web server like Nginx to serve your static website.
  2. Automate Docker Build:
    • Configure your CI/CD pipeline to automatically build a Docker image whenever changes are pushed to the main branch.
    • Push the Docker image to a container registry (e.g., Docker Hub).
  3. Deploy with Docker:
    • Deploy the Docker container to a simple web server (e.g., AWS EC2, DigitalOcean Droplet) or cloud storage (e.g., AWS S3) whenever changes are pushed to the main branch.
    • Use a deployment script or a CI/CD tool's deployment functionality to automate this process.

4. Monitoring with Loki and Grafana:

  1. Install Loki and Grafana:
    • Set up Loki, a log aggregation system, and Grafana, a monitoring and visualization platform, on your server or a cloud-based instance.
  2. Configure Logging:
    • In your web application and deployment scripts, incorporate logging statements.
    • Configure your web server (e.g., Nginx) to log access and error information.
  3. Integrate Loki and Grafana:
    • Configure your applications and deployment scripts to send logs to Loki.
    • Set up Grafana dashboards to visualize and analyze logs and deployment metrics.
    • Grafana can be configured to query logs from Loki and display them in a user-friendly way.
  4. Alerting (Optional):
    • Configure alerts in Grafana to notify you of specific events or issues, such as deployment failures or abnormal application behavior.

5. Final Steps:

  1. Test Your CI/CD Pipeline:
    • Push changes to your GitHub repository's main branch and observe the Jenkins CI/CD pipeline in action.
    • Monitor the logs and metrics in Grafana to ensure everything is functioning as expected.
  2. Documentation:
    • Document your CI/CD pipeline setup, including GitHub repository, Jenkins job configurations, Dockerfile, and Loki/Grafana setup.
    • This documentation will help your team understand and maintain the pipeline.
  3. Ongoing Maintenance:
    • Regularly review and update your CI/CD pipeline as your web application evolves.
    • Monitor and fine-tune your Loki and Grafana configurations to meet your monitoring needs.

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A simple static website deployment with Continuous Integration, Continuous Deployment, Testing and Monitoring All-in-one (Using Jenkins, Docker, Git , Python, Loki and Grafana)

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