How to Build Your First Distributed System
Note: This is a tutorial to start building an example of a distributed system and is not intended for a production deployment.

- Build a RESTful API with Node.js and Express
- Manage long-running background processes
- Orchestrate distributed workloads across multiple nodes
- Containerize applications with Docker
- Deploy multi-container applications with Docker Compose
- Understand distributed systems concepts like polling, batching, and orchestration
Overview
In this hands-on tutorial, we’ll build a distributed Blender rendering system from scratch. You’ll learn how to split a rendering workload across multiple nodes, manage concurrent jobs, and deploy the system using Docker.
By the end of this tutorial, you’ll have:
- A rendering node that accepts Blender jobs via HTTP API
- An orchestrator that distributes work across multiple nodes
- A fully containerized deployment using Docker Compose
- Understanding of key distributed systems patterns
Tutorial Structure
0. Setting Up the Environment
Install prerequisites and prepare your development environment.
1. Part 1: Rendering Node
Create a web API that accepts Blender rendering jobs and manages background processes.
You’ll build:
- Express.js server with RESTful endpoints
- Job submission and status checking
- Process management for Blender renders
2. Part 2: Orchestrator
Build an orchestrator that distributes rendering workloads across multiple nodes.
You’ll learn:
- Work distribution and batching
- Parallel job execution with Promise.all()
- Aggregating status from multiple nodes
3. Part 3: Docker
Containerize the rendering node and orchestrator for consistent deployment.
You’ll create:
- Dockerfiles for server and orchestrator
- Docker networks for inter-container communication
- Container deployment strategies
4. Part 4: Docker Compose
Deploy the entire distributed system with a single command.
You’ll configure:
- Multi-container orchestration
- Service scaling (3 rendering nodes)
- Network isolation and service discovery
5. Enhancements and Future Improvements
Explore production-ready improvements and advanced patterns.
Topics include:
- Rate limiting and queue management
- Service discovery
- Production deployment strategies (Kubernetes)
- Monitoring and logging
Architecture Overview
graph TB
Client[Client Application]
Orch[Orchestrator<br/>Port 4000]
Server1[Blender Server 1<br/>Port 3001]
Server2[Blender Server 2<br/>Port 3002]
Server3[Blender Server 3<br/>Port 3003]
Client -->|POST /render<br/>frames 1-20| Orch
Orch -->|Batch 1: frames 1-5| Server1
Orch -->|Batch 2: frames 6-10| Server2
Orch -->|Batch 3: frames 11-15| Server3
Server1 -.->|Status| Orch
Server2 -.->|Status| Orch
Server3 -.->|Status| Orch
Orch -.->|Aggregated Status| Client
style Client fill:#e1f5ff
style Orch fill:#fff4e1
style Server1 fill:#e8f5e9
style Server2 fill:#e8f5e9
style Server3 fill:#e8f5e9
Prerequisites
- Node.js (v14 or higher)
- Blender (accessible via command line)
- Docker (for Parts 3 and 4)
- Basic knowledge of JavaScript and REST APIs
Getting Started
Ready to begin? Start with Setting Up the Environment →
Having issues? Open an issue on GitHub