Why rely on PaaS platforms that obscure the process when you can engineer the platform itself? This project wasn't about simply deploying an app; it was about building the underlying engine that orchestrates deployments with precision and resilience.
Introducing DeploySphere: A self-hosted deployment platform engineered from the ground up, designed not just to host applications, but to own the entire pipeline – from isolated builds and artifact storage to real-time logging and dynamic routing.
Existing PaaS solutions often present a trade-off: simplicity at the cost of control, flexibility, and deep system understanding. DeploySphere tackles this by providing a transparent, powerful, and scalable deployment architecture built on robust system design principles.
DeploySphere is built on an event-driven, fault-tolerant architecture designed for scalability and reliability.
- Project & Deployment Management: Leverages Postgres + Prisma for robust management of project metadata, deployment history, and user configurations.
- Isolated Build Environments: Utilizes AWS ECS + Docker to provide containerized build environments, ensuring consistency, reproducibility, and security for every deployment.
- Artifact & Asset Storage: Integrates with AWS ECR for secure Docker image storage and AWS S3 for efficient hosting of static build assets.
* **Real-time Log Streaming:** Implements a **Redis Pub/Sub + Socket.IO** system to stream build and deployment logs directly to the user interface in real-time.
* **Scalable Log Aggregation:** Employs **Kafka + ClickHouse** for a high-throughput, event-driven pipeline capable of aggregating and analyzing logs from numerous concurrent deployments.
* **Dynamic Routing & Subdomains:** Features a **Custom Reverse Proxy** (built with NodeJS/Express) that dynamically routes traffic to live user deployments and assigns unique subdomains.
**Event-Driven & Asynchronous Processing:** The entire build and deployment process is designed around asynchronous workflows and event-driven principles, allowing for high concurrency and fault tolerance.
- Backend: NodeJS, Express, Prisma
- Database: PostgreSQL
- Containerization: Docker, AWS ECS, AWS ECR
- Storage: AWS S3
- Real-time: Redis Pub/Sub, Socket.IO
- Event Streaming & Analytics: Kafka, ClickHouse
- Infrastructure: AWS (ECS, ECR, S3, etc.)
DeploySphere embodies key system design principles:
- Event-Driven Architecture: Decoupled services communicate via events (Kafka), enhancing scalability and resilience.
- Asynchronous Processing: Long-running tasks like builds and deployments are handled asynchronously, preventing blocking and improving user experience.
- Fault Tolerance: Designed with redundancy and failure isolation in mind.
- Scalability: Components like Kafka, ClickHouse, and ECS are chosen for their ability to handle high load.
This platform isn't just a deployment tool; it's an engineered system built by a developer who refuses to rent what can be built.
(Optional: Add a "Getting Started" or "Usage" section here if applicable, detailing how to set up and run the platform)