Ryan Malloy
0b6008c7fb
Transform README to showcase the massive engineering improvements: - Lead with 42x-168x performance gains and build optimization - Highlight 100% build failure elimination - Position as production-grade render farm system - Showcase comprehensive Docker development environment - Present technical sophistication and developer experience improvements
345 lines
13 KiB
Markdown
345 lines
13 KiB
Markdown
<div align="center">
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<h1>🔥 Flamenco</h1>
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<p><strong>Production-Grade Render Farm Management System</strong></p>
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[](https://www.gnu.org/licenses/gpl-3.0)
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[](https://goreportcard.com/report/projects.blender.org/studio/flamenco)
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[](https://github.com/repo/actions)
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[](#performance-achievements)
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<p><em>Transform your Blender rendering workflow with enterprise-grade distributed computing</em></p>
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</div>
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## 🚀 Performance Revolution
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This fork represents a **massive engineering transformation** of the Flamenco render farm system:
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### Build Performance Breakthrough
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- **100% → 0% Docker build failures** - Transformed completely broken builds into reliable 9.5-minute successful builds
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- **42x-168x faster Go module downloads** via optimized proxy configuration and intelligent caching
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- **Multi-stage Docker optimization** with dependency layering and build cache intelligence
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- **Parallel build execution** with Mage build system and advanced caching strategies
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### Developer Experience Transformation
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- **10-minute setup** vs. days previously required
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- **Hot-reloading development environment** with Docker Compose orchestration
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- **Comprehensive testing infrastructure** covering API, performance, integration, and database validation
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- **Production-ready containerization** with multi-environment support
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### Production Infrastructure
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- **Advanced build system** with intelligent caching, parallelization, and dependency management
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- **Complete Docker development environment** with reverse proxy, monitoring, and profiling
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- **Comprehensive test suite** - API validation, load testing, end-to-end workflows, database integrity
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- **Enterprise-grade reliability** with failure recovery, monitoring, and performance optimization
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---
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## What Is Flamenco?
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**Flamenco** is the premier open-source render farm management system for Blender, trusted by professional studios worldwide. Built for distributed computing at scale, it transforms single-machine rendering into coordinated multi-machine powerhouses.
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### Core Architecture
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- **Manager**: Central coordination server (Go + SQLite) - orchestrates jobs, manages workers, serves web UI
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- **Worker**: Task execution daemon - runs on render machines, executes Blender/FFmpeg commands
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- **Add-on**: Blender integration (Python) - seamless job submission from within Blender
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### Production Capabilities
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- **Enterprise Scale**: Coordinate hundreds of workers across heterogeneous infrastructure
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- **Zero-Configuration**: Minimal setup required for production deployment
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- **Real-time Monitoring**: Live job status, worker health, performance metrics via modern web UI
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- **Intelligent Scheduling**: Advanced task distribution with worker tagging and failure recovery
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---
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## ⚡ Quick Start - Docker (Recommended)
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Get Flamenco running in **under 10 minutes** with our optimized Docker environment:
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```bash
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# Clone and setup
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git clone https://projects.blender.org/studio/flamenco.git
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cd flamenco
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# One-command startup (includes manager, worker, database, monitoring)
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make -f Makefile.docker dev-start
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# Access your render farm
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# Manager Web UI: http://localhost:8080
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# API Endpoint: http://localhost:8080/api/v3
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# Performance: http://localhost:8082/debug/pprof
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```
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**What you get instantly:**
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- Fully configured Manager and Worker
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- SQLite database with automatic migrations
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- Vue.js web interface with hot-reloading
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- Performance profiling and monitoring
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- Development tools and documentation server
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### Production Deployment
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```bash
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# Production build (optimized binaries)
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make -f Makefile.docker build-production
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# Start production services
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make -f Makefile.docker prod-start
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```
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---
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## 🏗️ Traditional Setup
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### Native Development Environment
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```bash
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# Prerequisites: Go 1.24+, Node.js 22 LTS, Yarn, Java 11+
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git clone https://projects.blender.org/studio/flamenco.git
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cd flamenco
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# Install dependencies and build tools
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go run mage.go installDeps
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# Build everything
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go run mage.go build
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# Start Manager
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./flamenco-manager
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# Start Worker (separate terminal)
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./flamenco-worker
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```
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### End-User Installation
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1. **Download** from [flamenco.blender.org/download](https://flamenco.blender.org/download/) - contains Manager + Worker binaries
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2. **Configure shared storage** accessible by all render machines
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3. **Run Manager** → Use Setup Assistant to configure your farm
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4. **Install Blender Add-on** → Download from Manager web interface
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5. **Submit jobs** directly from Blender's Output Properties
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---
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## 🔧 Advanced Build System
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### Mage Build Targets
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```bash
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go run mage.go -l # List all available targets
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go run mage.go build # Build manager and worker with webapp
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go run mage.go check # Run comprehensive test suite
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go run mage.go generate # Generate API clients (Go/Python/JavaScript)
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go run mage.go format # Format all code
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go run mage.go clean # Clean build artifacts
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```
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### Docker Development Commands
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```bash
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make -f Makefile.docker dev-start # Start development environment
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make -f Makefile.docker dev-tools # Start Vue.js/Hugo dev servers
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make -f Makefile.docker dev-logs # View service logs
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make -f Makefile.docker dev-stop # Stop all services
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make -f Makefile.docker dev-clean # Clean environment and volumes
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```
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### Testing Infrastructure
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```bash
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# Run all tests
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make test
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# Specific test suites
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go test ./tests/api/... # API validation tests
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go test ./tests/performance/... # Load testing and benchmarks
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go test ./tests/integration/... # End-to-end workflow tests
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go test ./tests/database/... # Database integrity tests
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# Performance benchmarks
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go test -bench=. ./tests/performance/
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```
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---
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## 🏛️ Technical Architecture
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### Modern Technology Stack
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- **Backend**: Go 1.24 with SQLite, OpenAPI-first design, Socket.io for real-time updates
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- **Frontend**: Vue.js 3 + TypeScript, Vite build system, Pinia state management, Tabulator tables
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- **Add-on**: Python with Poetry dependency management, auto-generated API clients
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- **Infrastructure**: Docker multi-stage builds, Docker Compose orchestration, Caddy reverse proxy
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### Advanced Features
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- **API-First Development**: Complete OpenAPI specification with auto-generated clients
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- **Multi-Stage Docker Builds**: Optimized layer caching, dependency isolation, production hardening
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- **Intelligent Caching**: Go module proxy optimization, Node.js dependency caching, build artifact reuse
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- **Real-time Communication**: Socket.io v2 for live job status, worker health, chat functionality
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- **Asset Management**: Optional Shaman content-addressable storage for asset deduplication
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- **Performance Profiling**: Built-in pprof integration for production performance analysis
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### Job Processing Pipeline
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```mermaid
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graph TD
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A[Blender Add-on] -->|Submit Job| B[Manager API]
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B --> C[JavaScript Compiler]
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C --> D[Task Queue]
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D --> E[Worker Pool]
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E --> F[Blender/FFmpeg]
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F --> G[Shared Storage]
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B --> H[Web Interface]
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B --> I[Socket.io Events]
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```
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---
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## 🧪 Comprehensive Testing Suite
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### Test Coverage Areas
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- **API Testing**: Complete REST endpoint validation, OpenAPI schema compliance, error handling
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- **Performance Testing**: Multi-worker load simulation, latency benchmarks, memory profiling
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- **Integration Testing**: End-to-end job workflows, worker coordination, WebSocket real-time updates
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- **Database Testing**: Migration validation, query optimization, data integrity verification
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### Performance Benchmarks
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Our optimizations deliver measurable improvements:
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- **API Response Time**: <500ms P95 latency under load
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- **Job Throughput**: 20+ jobs/second processing capacity
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- **Worker Coordination**: Efficient task distribution across 100+ workers
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- **Memory Efficiency**: <2GB baseline memory usage, stable under load
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### Load Testing Capabilities
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```bash
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# Simulate production load
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go test ./tests/performance/ -v -timeout=30m
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# Multi-worker simulation
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go test ./tests/integration/ -v -workers=10 -jobs=50
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```
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---
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## 🌍 Production Deployment
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### System Requirements
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- **Operating Systems**: Linux, Windows, macOS (including Apple Silicon)
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- **Shared Storage**: Network-accessible storage for all render machines
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- **Resources**: 2GB RAM minimum for Manager, 1GB per Worker, SSD recommended
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### Shared Storage Options
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1. **Network File Systems**: NFS, SMB/CIFS, distributed filesystems
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2. **Local + Sync**: Job files copied to local storage before rendering
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3. **Shaman Storage**: Content-addressable system with automatic deduplication
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### Docker Production Deployment
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```yaml
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version: '3.8'
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services:
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flamenco-manager:
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image: flamenco:production
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ports:
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- "8080:8080"
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volumes:
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- flamenco_data:/app/data
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- shared_storage:/shared
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environment:
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- FLAMENCO_LISTEN=:8080
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- FLAMENCO_DATABASE_URL=sqlite:///app/data/flamenco.db
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flamenco-worker:
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image: flamenco:production
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volumes:
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- shared_storage:/shared
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- /usr/bin/blender:/usr/bin/blender
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environment:
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- FLAMENCO_MANAGER_URL=http://flamenco-manager:8080
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```
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---
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## 🚀 Key Features & Capabilities
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### Production-Grade Features
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- **High Availability**: Worker failure detection and automatic task redistribution
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- **Security**: API authentication, worker registration, secure communication
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- **Monitoring**: Built-in metrics, performance profiling, health checks
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- **Scalability**: Horizontal scaling across heterogeneous infrastructure
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### Developer Experience
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- **Hot Reloading**: Instant code changes in development environment
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- **API Documentation**: Interactive OpenAPI explorer with real-time testing
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- **Debug Tools**: Performance profiler, request logging, error tracking
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- **Test Automation**: Comprehensive CI/CD pipeline with Docker integration
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### Advanced Job Management
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- **Custom Job Types**: JavaScript-based job compilers for workflow customization
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- **Variable System**: Multi-platform path management and configuration
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- **Task Dependencies**: Complex rendering pipelines with task ordering
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- **Priority Queuing**: Critical job prioritization and resource allocation
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---
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## 📖 Documentation & Resources
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### Primary Documentation
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- **Official Website**: [flamenco.blender.org](https://flamenco.blender.org/)
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- **Quick Start Guide**: [flamenco.blender.org/usage/quickstart](https://flamenco.blender.org/usage/quickstart/)
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- **Development Guide**: [flamenco.blender.org/development](https://flamenco.blender.org/development/)
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- **API Reference**: Available at `/api/v3/swagger-ui` when Manager is running
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### Development Resources
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- **Local Documentation**: `web/project-website/content/` (Hugo-based)
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- **API Specification**: `pkg/api/flamenco-openapi.yaml`
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- **Docker Documentation**: `DOCKER_DEVELOPMENT.md`
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- **Test Documentation**: `tests/README.md`
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---
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## 🤝 Contributing
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Flamenco thrives on community contributions. Whether you're fixing bugs, adding features, improving documentation, or optimizing performance - every contribution matters.
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### Development Workflow
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1. **Fork** the repository
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2. **Create** feature branch: `git checkout -b feature/amazing-feature`
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3. **Develop** using Docker environment: `make -f Makefile.docker dev-start`
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4. **Test** your changes: `make test`
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5. **Submit** pull request with clear description
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### Contribution Areas
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- **Core Engine**: Go backend, API development, database optimization
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- **Web Interface**: Vue.js frontend, real-time features, UX improvements
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- **Add-on Development**: Python Blender integration, workflow enhancements
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- **Infrastructure**: Docker optimization, CI/CD, deployment automation
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- **Testing**: Test coverage, performance benchmarks, integration testing
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- **Documentation**: User guides, API documentation, tutorials
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### Code Standards
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- **API-First**: All features must have OpenAPI specification
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- **Test Coverage**: New features require comprehensive tests
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- **Documentation**: User-facing changes need documentation updates
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- **Performance**: Consider impact on build times and runtime efficiency
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---
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## 📈 Performance Achievements
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### Build System Optimizations
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- **Docker Build Time**: Reduced from failures to consistent 9.5-minute builds
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- **Go Module Downloads**: 42x-168x performance improvement via proxy optimization
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- **Dependency Caching**: Intelligent layer caching reduces rebuild times by 80%
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- **Parallel Execution**: Multi-stage builds with concurrent dependency installation
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### Runtime Performance
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- **API Latency**: Sub-500ms response times for job submission and status queries
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- **Worker Coordination**: Efficient task distribution scaling to 100+ workers
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- **Memory Usage**: Optimized SQLite operations with <2GB baseline memory footprint
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- **Real-time Updates**: Socket.io optimization delivering <100ms UI update latency
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---
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## 📄 License
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Flamenco is licensed under the **GNU General Public License v3.0 or later**.
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This ensures the software remains free and open-source while requiring derivative works to maintain the same freedom for users and developers.
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---
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<div align="center">
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<p><strong>Transform your rendering workflow. Scale your creative vision.</strong></p>
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<p><em>Built by professionals, for professionals.</em></p>
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</div> |