Multi-tier Application Deployment in Docker Swarm

The project focuses on deploying a multi-tier application using Docker Swarm on AWS EC2 instances. It involves setting up frontend, backend, and database layers, with PHP and MySQL utilized for backend development. AWS EC2 instances will serve as the infrastructure, with security groups ensuring network security. PuttyGEN & Putty will facilitate SSH access for configuration and management, while Docker will handle containerization for efficient deployment and scaling.

Detailed Description:

• Planning and Design:

• Define the components:

  • The application will consist of frontend for user interaction, backend for processing logic, and database for data storage.

• Architecture:

  • Design the interaction between components, specifying communication protocols, and identifying dependencies.

• Docker images:

  • Choose suitable Docker images for each component, ensuring compatibility with PHP and MySQL for backend services.

AWS EC2 Instance Setup:

• Provisioning:
  • Set up AWS EC2 instances as Docker Swarm nodes, considering instance types and sizes based on application requirements.
• Security:
  • Configure security groups to control traffic, allowing access only to necessary ports for SSH, Docker Swarm, HTTP/HTTPS, and MySQL.
  • SSH Access: Utilize PuttyGEN & Putty for secure SSH access to EC2 instances, managing SSH keys for authentication.

Docker and Docker Swarm Configuration:

- Installation:

• Install Docker on each EC2 instance to enable containerization of application components.
• Swarm Setup: Initialize Docker Swarm on one instance to establish the Swarm manager, responsible for orchestrating services.
• Node Joining: Join additional instances as worker nodes to the Docker Swarm cluster, enabling distribution and scaling of containers.

- Backend Development with PHP and MySQL:

• Backend Services:
  • Develop backend services using PHP, implementing business logic and data processing tasks.
  • Database Management: Utilize MySQL for database management, ensuring proper schema design, data integrity, and query optimization.
  • Containerization: Containerize PHP and MySQL services within Docker images, facilitating easy deployment and scaling in the Docker Swarm environment.

- Docker Swarm Deployment:

• Service Definition:
  • Define Docker services for each application tier using Docker Compose files, specifying configurations and dependencies.
  • Deploy the services to the Docker Swarm cluster, allowing Docker Swarm to manage container placement, scheduling, and scaling.

- Testing and Optimization:

• Comprehensive Testing:
  • Conduct testing of the deployed application to validate functionality, performance, and resilience under various conditions.
  • Resource Monitoring: Monitor resource utilization within the Docker Swarm cluster, optimizing service configurations for efficient resource allocation.
  • Auto-Scaling: Implement auto-scaling policies to adjust the number of container replicas dynamically based on workload demands and performance metrics.

- Documentation and Reporting:

• Documentation: Document the deployment process, including configurations, commands executed, and encountered issues and resolutions.
• Prepare a detailed report summarizing the project objectives, methodology, implementation details, and outcomes.
• Include insights, lessons learned, best practices, and recommendations for future deployments and optimizations. By following these steps and leveraging the specified tools and technologies, you'll successfully deploy a multi-tier application in Docker Swarm on AWS EC2 instances, integrating PHP and MySQL for backend functionality. This project will provide valuable hands-on experience in container orchestration, cloud deployment, and building scalable and resilient applications.