Add CI/CD stratedy

README.md

@@ -15,6 +15,15 @@ An intelligent system for matching job descriptions with candidate CVs/resumes u
 - Python 3.12+
 - Docker (optional)
 
+## Documentation
+
+- [Project Plan](docs/plan.md) - Development roadmap and milestones
+- [CI/CD Strategy](docs/cd_strategy.md) - Continuous Deployment strategy
+- [CI/CD](docs/cicd.md) - Continuous Integration and Deployment setup
+- [Tests Description](docs/tests_description.md) - Overview of the testing methodology and framework
+- [Test Cases](docs/test_cases.md) - Detailed test cases and scenarios
+
+
 ## Quick Start
 
 1. Clone the repository:

docs/cicd_strategy.md

@@ -0,0 +1,287 @@
+# Deployment Strategy Documentation
+
+## Table of Contents
+- [Overview](#overview)
+- [AWS Deployment Strategy](#aws-deployment-strategy)
+- [Self-Hosted Deployment Strategy](#self-hosted-deployment-strategy)
+- [Recommended Approaches](#recommended-approaches)
+
+## Overview
+
+This document outlines our deployment strategies for both AWS and self-hosted environments. Each approach is designed to maximize reliability, minimize downtime, and ensure consistent deployments across environments.
+
+## AWS Deployment Strategy
+
+### 1. Infrastructure as Code (IaC)
+- Use AWS CloudFormation or Terraform to manage infrastructure
+- Version control all infrastructure definitions
+- Maintain separate configurations for staging and production
+
+### 2. Containerization
+- Docker containers for application packaging
+- Amazon Elastic Container Registry (ECR) for container storage
+- Amazon Elastic Container Service (ECS) or Elastic Kubernetes Service (EKS) for orchestration
+
+### 3. CI/CD Pipeline with GitHub Actions
+```mermaid
+graph LR
+    A[Code Push] --> B[GitHub Actions]
+    B --> C[Build & Test]
+    C --> D[Create & Push Container]
+    D --> E[Deploy]
+```
+
+#### Pipeline Configuration
+```yaml
+# .github/workflows/deploy.yml
+name: Deploy
+on:
+  push:
+    branches: [main]
+  pull_request:
+    branches: [main]
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+      - name: Configure AWS credentials
+        uses: aws-actions/configure-aws-credentials@v1
+      - name: Build and test
+        run: |
+          make test
+          make build
+      - name: Push to ECR
+        run: |
+          aws ecr get-login-password --region ${{ secrets.AWS_REGION }} | docker login --username AWS --password-stdin ${{ secrets.ECR_REGISTRY }}
+          docker push ${{ secrets.ECR_REGISTRY }}/app:${{ github.sha }}
+      - name: Deploy to ECS
+        run: |
+          aws ecs update-service --cluster production --service app --force-new-deployment
+```
+
+#### Pipeline Steps:
+1. Code push triggers GitHub Actions workflow
+2. Run tests and security scans in GitHub-hosted runner
+3. Build Docker image
+4. Push to ECR using AWS credentials
+5. Update ECS task definition/K8s deployment
+6. Monitor deployment status
+
+### 4. Blue-Green Deployment
+- Maintain two identical production environments
+- Route traffic using Route 53 or Application Load Balancer
+- Zero-downtime deployments
+- Easy rollback capability
+
+## Self-Hosted Deployment Strategy
+
+### 1. Infrastructure Setup
+- Nginx as reverse proxy
+- Docker and Docker Compose for containerization
+- GitLab Runner or Jenkins for CI/CD
+
+### 2. Deployment Process with GitHub Actions
+```mermaid
+graph LR
+    A[Git Push] --> B[GitHub Actions]
+    B --> C[Build & Test]
+    C --> D[Docker Build]
+    D --> E[Deploy via SSH]
+```
+
+#### GitHub Actions Configuration
+```yaml
+# .github/workflows/self-hosted.yml
+name: Deploy to Self-Hosted
+on:
+  push:
+    branches: [main]
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+      - name: Build and test
+        run: |
+          make test
+          make build
+      - name: Deploy to server
+        uses: appleboy/ssh-action@master
+        with:
+          host: ${{ secrets.SERVER_HOST }}
+          username: ${{ secrets.SERVER_USER }}
+          key: ${{ secrets.SSH_PRIVATE_KEY }}
+          script: |
+            cd /app
+            docker-compose pull
+            docker-compose up -d
+```
+
+#### Steps:
+1. Automated deployment via GitHub Actions
+2. SSH-based deployment using secure keys
+3. Docker Compose for service orchestration
+4. Health checks before switching traffic
+5. Automated backup before deployment
+
+### 3. Rolling Updates
+- Update services one at a time
+- Health check verification
+- Automatic rollback on failure
+
+## Recommended Approaches
+
+### For AWS (Recommended)
+We recommend the following strategy for AWS deployments:
+
+1. **ECS with Fargate**
+   - Serverless container management
+   - Automatic scaling
+   - Cost-effective for variable loads
+   - Simplified infrastructure management
+
+2. **Blue-Green Deployment**
+   - Zero downtime deployments
+   - Simple rollback process
+   - Production-grade reliability
+
+### For Self-Hosted (Recommended)
+For self-hosted environments, we recommend:
+
+1. **Docker Compose with Traefik**
+   - Easy service orchestration
+   - Automatic SSL management
+   - Simple reverse proxy configuration
+   - Built-in load balancing
+
+2. **Rolling Updates with Health Checks**
+   - Minimal downtime
+   - Controlled deployment process
+   - Automatic failure detection
+
+## Security Considerations
+
+### AWS
+- Use AWS Secrets Manager for sensitive data
+- Implement IAM roles with least privilege
+- Enable AWS GuardDuty for threat detection
+- Regular security audits
+
+### Self-Hosted
+- Use Vault for secrets management
+- Implement fail2ban for intrusion prevention
+- Regular security updates
+- Automated backup system
+
+## Monitoring and Logging
+
+### AWS
+- CloudWatch for logs and metrics
+- X-Ray for distributed tracing
+- SNS for alerts and notifications
+
+### Self-Hosted
+- Prometheus for metrics
+- Grafana for visualization
+- ELK Stack for log management
+
+## Disaster Recovery
+
+### AWS
+- Multi-region backup strategy
+- Automated snapshots
+- Documented recovery procedures
+
+### Self-Hosted
+- Regular backups to off-site storage
+- Documented recovery procedures
+- Regular recovery testing
+
+## Deployment Solutions Comparison
+
+### AWS Deployment
+
+#### Pros
+- **Scalability**: Automatic scaling capabilities with ECS/EKS
+- **Reliability**: Built-in high availability across availability zones
+- **Managed Services**: Less operational overhead with managed services
+- **Global Reach**: Easy deployment across multiple regions
+- **Security**: Built-in security features and compliance certifications
+- **Integration**: Seamless integration with other AWS services
+- **Monitoring**: Comprehensive monitoring with CloudWatch
+- **Backup**: Automated backup and disaster recovery options
+
+#### Cons
+- **Cost**: Can be expensive for high-traffic applications
+- **Vendor Lock-in**: Dependency on AWS ecosystem
+- **Complexity**: Learning curve for AWS services
+- **Cost Prediction**: Difficult to predict exact costs
+- **Data Transfer**: Expensive egress costs between regions
+- **Configuration**: Complex configuration for some services
+
+### Self-Hosted Deployment
+
+#### Pros
+- **Cost Control**: Predictable and potentially lower costs
+- **Full Control**: Complete control over infrastructure
+- **Data Privacy**: Direct control over data location and handling
+- **Customization**: Flexibility to customize every aspect
+- **No Vendor Lock-in**: Freedom to change providers
+- **Performance**: Ability to optimize for specific use cases
+- **Simple Architecture**: Often simpler to understand and debug
+
+#### Cons
+- **Maintenance**: Higher operational overhead
+- **Scaling**: Manual scaling requires more effort
+- **Reliability**: Need to implement HA solutions manually
+- **Security**: Responsibility for all security aspects
+- **Updates**: Manual system updates and patches
+- **Monitoring**: Need to set up monitoring infrastructure
+- **Expertise**: Requires more in-house expertise
+
+### Decision Matrix
+
+| Factor           | AWS                     | Self-Hosted            |
+|-----------------|-------------------------|------------------------|
+| Initial Cost    | Low                     | Medium to High         |
+| Running Cost    | High for scale          | Predictable           |
+| Scalability     | Excellent               | Manual                |
+| Maintenance     | Low                     | High                  |
+| Control         | Limited                 | Full                  |
+| Security        | Built-in                | Manual Setup          |
+| Time to Deploy  | Fast                    | Medium                |
+| Customization   | Limited                 | Unlimited             |
+| Reliability     | Very High               | Depends on Setup      |
+
+### When to Choose AWS
+- Startups needing quick deployment
+- Projects requiring rapid scaling
+- Applications with variable load
+- Teams with limited DevOps resources
+- Compliance-heavy applications
+- Global application deployment
+
+### When to Choose Self-Hosted
+- Cost-sensitive long-term projects
+- Applications with stable, predictable load
+- Projects requiring full infrastructure control
+- Data privacy-critical applications
+- Teams with strong DevOps expertise
+- Applications with specific hardware requirements
+
+## Conclusion
+
+For most projects, we strongly recommend the AWS deployment strategy using ECS/Fargate with blue-green deployment. This approach provides:
+
+- Minimal operational overhead
+- Excellent scalability
+- Built-in high availability
+- Comprehensive monitoring
+- Simplified disaster recovery
+
+However, for projects with specific requirements or budget constraints, our self-hosted strategy using Docker Compose and Traefik provides a robust and cost-effective alternative.
+
+Remember to regularly review and update these deployment strategies as new tools and best practices emerge.