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DevOps Engineer's Guide to Mixcore

This guide is designed for DevOps engineers, system administrators, and IT professionals responsible for deploying, scaling, and maintaining Mixcore in production environments.

Infrastructure Planning​

System Requirements​

Minimum recommended specifications:

  • CPU: 2+ cores
  • RAM: 4GB minimum (8GB+ recommended)
  • Storage: 20GB+ SSD (depends on media storage needs)
  • Database: SQL Server, MySQL, PostgreSQL, or ScyllaDB
  • Web Server: IIS, Nginx, or Apache
  • OS: Windows Server, Linux (Ubuntu/Debian/CentOS)

Architecture Options​

Mixcore supports various deployment architectures:

  • Single Server: All components on one server (suitable for small sites)
  • Two-Tier: Separate web and database servers
  • Microservices: Fully containerized deployment with separate services
  • High Availability: Load-balanced configuration with redundancy

Deployment Methods​

Simplest method for consistent environments:

# Clone the repository
git clone --branch main --recursive https://github.com/mixcore/mix.core.git

# Navigate to the project directory
cd mix.core

# Build and start all services
docker-compose up --build -d

For detailed Docker deployment instructions, see the Docker Deployment Guide.

Kubernetes Deployment​

For enterprise-scale deployments:

Cloud Provider Deployment​

Mixcore can be deployed on major cloud platforms:

  • Azure: App Service, SQL Database, Blob Storage
  • AWS: ECS/EKS, RDS, S3
  • Google Cloud: GKE, Cloud SQL, Cloud Storage

Refer to our Cloud Deployment Documentation for provider-specific guides.

Database Configuration​

Database Setup​

Mixcore supports multiple database backends:

  • SQL Server: High performance, Windows-native
  • MySQL: Open-source, widely available
  • PostgreSQL: Advanced features, performance
  • ScyllaDB: NoSQL option for high-scale deployments

Migration and Backup​

  • Database migration scripts
  • Automated backup strategies
  • Point-in-time recovery options

Scaling Strategies​

Horizontal Scaling​

Add more servers to distribute load:

  • Load balancer configuration
  • Session state management
  • Cache synchronization between nodes

Vertical Scaling​

Increase resources on existing servers:

  • Memory and CPU optimization
  • Database scaling considerations
  • Storage scaling

Content Delivery​

Improve performance for global audiences:

  • CDN integration
  • Static asset optimization
  • Image optimization pipelines

Monitoring and Observability​

Monitoring Setup​

Essential metrics to track:

  • System resource utilization
  • Application performance metrics
  • Database performance
  • Request latency and throughput

Logging Strategy​

Centralized logging with:

  • Structured logging format
  • Log aggregation (ELK, Graylog, etc.)
  • Log retention policies
  • Error alerting

Health Checks​

Implement comprehensive health checks:

  • Database connectivity
  • Storage availability
  • External service dependencies
  • Application status endpoints

Security Considerations​

Network Security​

  • Firewall configuration
  • WAF (Web Application Firewall) setup
  • DDoS protection
  • Network segmentation

SSL/TLS Configuration​

  • Certificate management
  • HTTPS enforcement
  • Modern TLS protocols
  • HSTS implementation

Authentication Security​

  • OAuth/OpenID Connect configuration
  • JWT token management
  • Identity provider integration
  • MFA implementation

CI/CD Pipeline Integration​

Continuous Integration​

  • Build and test automation
  • Static code analysis
  • Security scanning

Continuous Deployment​

  • Blue/green deployment strategies
  • Canary releases
  • Rollback procedures
  • Configuration management

Backup and Disaster Recovery​

Backup Strategy​

  • Database backups
  • File system backups
  • Configuration backups
  • Automated scheduling

Disaster Recovery​

  • Recovery time objectives (RTO)
  • Recovery point objectives (RPO)
  • DR environment setup
  • Recovery testing procedures

Performance Optimization​

Caching Strategies​

  • In-memory caching
  • Distributed cache (Redis)
  • CDN caching
  • Browser caching policies

Database Optimization​

  • Index optimization
  • Query performance tuning
  • Connection pooling
  • Read replicas for scaling

Application Performance​

  • .NET performance tuning
  • API response optimization
  • Background task management
  • Resource minification and bundling

Common Deployment Issues​

  • Troubleshooting database connection issues
  • Resolving container orchestration problems
  • Fixing permission and security errors
  • Performance bottleneck identification

Maintenance Procedures​

Update Procedures​

  • Core system updates
  • Module updates
  • Database schema updates
  • Dependency management

Scheduled Maintenance​

  • Window planning
  • Downtime minimization
  • User communication

Resources and Tools​

Further Help​