Ryan Malloy
f704dc5975
Include clear fork attribution linking to the original repository at https://projects.blender.org/studio/flamenco with acknowledgment that this builds upon their excellent foundation.
349 lines
14 KiB
Markdown
349 lines
14 KiB
Markdown
<div align="center">
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<h1>🔥 Flamenco</h1>
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<p><strong>Community-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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- **Community-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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**Community-Driven Excellence**: This isn't corporate software built to extract profit - it's community-grade engineering built with deep passion for the Blender ecosystem. Every optimization, every feature, every line of code is crafted with genuine care for artists and studios who depend on reliable, high-performance rendering infrastructure.
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> **🔗 Forked from**: [https://projects.blender.org/studio/flamenco](https://projects.blender.org/studio/flamenco) - This fork builds upon the excellent foundation created by Blender Studio, adding comprehensive Docker development environment optimizations and performance enhancements.
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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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- **Community 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> |