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feat: [#31] Add comprehensive deployment stages and workflow documentation
- Document complete two-phase deployment architecture - Phase 1: Build external artifacts (Docker images, golden VM images) - Phase 2: Environment-specific provisioning and deployment - Include detailed stage definitions, workflows, and automation status - Add error handling strategies and rollback procedures - Define performance optimization patterns for development/testing/production - Establish foundation for PoC-to-production redesign implementation Resolves requirements for deployment stage documentation in project redesign.
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# Deployment Stages and Workflow
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## Overview
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This document defines the complete deployment workflow for Torrust Tracker environments,
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breaking down the process into discrete stages that can be executed independently or
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as part of an automated pipeline.
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The workflow separates concerns between external artifact preparation, infrastructure
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provisioning, and application deployment to enable efficient iteration and debugging.
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## Stage Classification
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**Generic Stages**: Execute once and apply to all environments
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**Environment-Specific Stages**: Execute per environment with environment-specific configuration
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## Complete Deployment Workflow
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### Phase 1: Build External Artifacts (Generic)
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These stages prepare reusable artifacts that can be deployed to any environment.
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#### 1.1 Generate Tracker Docker Image
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**Purpose**: Create the application container image using twelve-factor build principles.
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**Execution Method**: Automated via CI/CD pipeline
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**Trigger**: New tag creation in the Torrust Tracker repository
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**Output**: Docker image tagged and pushed to registry (e.g., Docker Hub)
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**Environment Integration**:
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- Docker image tag becomes an input variable for environment configuration
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- Different environments can use different image versions (e.g., `latest` for
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development, `v1.2.3` for production)
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**Automation Status**: ✅ Fully automated
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**Example Tags**:
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**Expected Outputs**:
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- `torrust/torrust-tracker:latest` - Latest development build
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- `torrust/torrust-tracker:v1.2.3` - Tagged release build
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- `torrust/torrust-tracker:staging` - Staging environment build
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**Automation Level**: Fully automated through CI/CD (triggered by git tag creation)
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#### 1.2 Generate Golden VM Image
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**Purpose**: Create base virtual machine image with pre-installed system dependencies.
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**Execution Method**: Manual process with scripted automation
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**Trigger**: System dependency updates (infrequent)
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**Output**: VM image/ISO with pre-configured base system
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**Contents**:
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- Base operating system (Ubuntu 24.04 LTS)
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- Docker and Docker Compose (current stable versions)
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- System dependencies and security updates
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- Performance optimizations and system tuning
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**Update Frequency**:
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- **Rarely** - Only when updating fundamental system components
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- Typically 2-4 times per year or for security patches
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**Automation Status**: 🔄 Semi-automated (manual trigger, scripted execution)
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**Benefits**:
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- Faster environment provisioning (pre-installed dependencies)
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- Consistent base system across all environments
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- Reduced network bandwidth during deployment
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- Improved security posture with pre-hardened images
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### Phase 2: Environment Provisioning + Application Deployment (Environment-Specific)
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These stages execute for each individual environment with environment-specific configuration.
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#### 2.1 Infrastructure Provisioning
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**Purpose**: Create and configure the infrastructure resources needed for the environment.
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**Stages**:
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1. **Initialize**: Prepare infrastructure automation tools and validate configuration
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- Terraform/OpenTofu initialization
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- Provider authentication verification
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- Configuration validation and syntax checking
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2. **Plan**: Generate execution plan showing what resources will be created/modified
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- Resource dependency analysis
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- Cost estimation (for cloud providers)
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- Change impact assessment
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- Security configuration review
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3. **Apply**: Create the actual infrastructure resources
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- Virtual machine provisioning
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- Network configuration and firewall rules
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- Storage allocation and backup setup
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- DNS record creation (if applicable)
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**Environment Variables**: Provider context, resource specifications, regional settings
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**Output**: Running virtual machine with base system ready for application deployment
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**Idempotency**: Can be re-executed safely; only applies necessary changes
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#### 2.2 Application Deployment
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**Purpose**: Install and configure the Torrust Tracker application on provisioned infrastructure.
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**Execution Method**: Automated deployment scripts
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**Process**:
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- Application repository checkout/update
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- Environment-specific configuration generation
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- Docker Compose service orchestration
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- Service startup and dependency resolution
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**Input Dependencies**:
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- Provisioned virtual machine from stage 2.1
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- Docker image from stage 1.1
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- Environment-specific configuration
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**Output**: Running Torrust Tracker with all supporting services
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**Services Deployed**:
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- Torrust Tracker (HTTP/UDP endpoints)
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- MySQL database with schema initialization
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- Nginx reverse proxy with SSL configuration
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- Prometheus metrics collection
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- Grafana monitoring dashboards
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#### 2.3 Post-Deployment Configuration
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**Purpose**: Complete environment setup with additional configuration and validation.
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**Substages**:
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1. **Extra Configuration**
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- SSL certificate generation/installation
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- Domain-specific configuration
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- Backup automation setup
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- Monitoring alert configuration
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2. **Health Checks**
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- Service connectivity validation
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- API endpoint testing
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- Database connectivity verification
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- SSL certificate validation
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3. **End-to-End Testing**
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- Complete tracker functionality validation
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- Performance benchmarking
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- Security configuration verification
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- Integration testing with external systems
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**Execution Types**:
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- **Automated**: Health checks, basic connectivity tests
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- **Semi-automated**: SSL certificates (scripts with manual verification)
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- **Manual**: Advanced security configuration, performance tuning
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## Workflow Execution Patterns
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### Development Workflow
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```text
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[Phase 1] → [Phase 2.1] → [Phase 2.2] → [Phase 2.3]
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↓ ↓ ↓ ↓
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Skip Quick Fast Basic
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(use latest) provision deploy validation
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```
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**Optimization**: Skip Phase 1 (use existing images), focus on rapid iteration
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### Staging Workflow
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```text
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[Phase 1] → [Phase 2.1] → [Phase 2.2] → [Phase 2.3]
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↓ ↓ ↓ ↓
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Specific Production Complete Full
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tag/version specs deploy testing
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```
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**Focus**: Production-like configuration with comprehensive testing
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### Production Workflow
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```text
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[Phase 1] → [Phase 2.1] → [Phase 2.2] → [Phase 2.3]
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↓ ↓ ↓ ↓
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Release High-avail Blue/green Extensive
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version infrastructure deployment validation
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```
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**Emphasis**: Maximum reliability, security, and validation
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## Stage Dependencies
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### Sequential Dependencies
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- **Phase 2.1****Phase 2.2**: Infrastructure must exist before application deployment
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- **Phase 2.2****Phase 2.3**: Application must be running before post-deployment configuration
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### Input Dependencies
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- **Phase 2.2** requires Docker image from **Phase 1.1**
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- **Phase 2.1** may use golden image from **Phase 1.2** (optional optimization)
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- **Phase 2.3** requires services from **Phase 2.2** to be healthy
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### Parallel Execution Opportunities
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- **Phase 1.1** and **Phase 1.2** can execute independently
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- Multiple **Phase 2** workflows can execute simultaneously for different environments
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- Within **Phase 2.3**, some configurations can be parallelized
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## Error Handling and Recovery
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### Stage Failure Recovery
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**Phase 1 Failures**:
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- Image build failures → Fix source code/dependencies, retry build
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- Golden image failures → Debug system configuration, manual intervention
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**Phase 2.1 Failures**:
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- Infrastructure errors → Review provider quotas, fix configuration, retry
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- Network/DNS issues → Verify provider settings, update configuration
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**Phase 2.2 Failures**:
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- Application startup → Check service dependencies, review logs, retry deployment
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- Configuration errors → Validate environment settings, fix templates
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**Phase 2.3 Failures**:
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- SSL certificate issues → Debug DNS/domain configuration, manual intervention
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- Health check failures → Investigate service status, review network connectivity
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### Rollback Strategies
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**Infrastructure Rollback**:
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- Terraform/OpenTofu state management for resource cleanup
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- Snapshot restoration for critical data preservation
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**Application Rollback**:
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- Previous Docker image deployment
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- Configuration version restoration
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- Database migration reversal (if applicable)
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## Performance Optimization
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### Stage Parallelization
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**Development Environments**:
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- Multiple developers can provision simultaneously
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- Shared golden images reduce provision time
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- Local caching of Docker images
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**CI/CD Pipeline**:
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- Parallel environment provisioning for different test suites
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- Artifact caching between stages
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- Resource pooling for temporary environments
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### Resource Management
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**Infrastructure Efficiency**:
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- Shared provider contexts for cost optimization
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- Resource scheduling for non-production environments
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- Automatic cleanup of temporary/expired environments
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**Application Optimization**:
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- Docker layer caching
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- Configuration template pre-processing
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- Health check optimization for faster validation
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## Related Documentation
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- [Core Concepts and Terminology](core-concepts-and-terminology.md) - Fundamental definitions
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- [Three-Phase Deployment Architecture](three-phase-deployment-architecture.md) - Architectural principles
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- [Environment Configuration Management](environment-configuration-management.md) - Configuration handling
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## Revision History
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- **v1.0** - Initial deployment workflow definition based on PoC implementation analysis

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