Cloud Server Management Platform
Published on June 1, 2024
Overview
We built a comprehensive SaaS platform that allows game studios and individual developers to deploy, manage, and scale cloud servers effortlessly. The platform abstracts away the complexity of cloud infrastructure, letting teams focus on building great games.
The Problem
Game studios were spending significant engineering time manually provisioning servers, dealing with unexpected traffic spikes, and managing complex cloud billing. Smaller studios couldn't afford a dedicated DevOps team, while larger ones were wasting resources on repetitive operational tasks.
Our Solution
Architecture
The platform is built on a microservices architecture with:
- Control Plane: Handles server lifecycle (create, start, stop, delete)
- Metrics Aggregator: Collects real-time CPU, RAM, and network stats from all nodes
- Billing Engine: Tracks usage per minute and generates invoices automatically
- Auto-Scaler: Watches load metrics and triggers horizontal scaling rules
Tech Stack
| Layer | Technology | |-------|-----------| | Backend API | NestJS + TypeScript | | Frontend Dashboard | NuxtJS | | Container Orchestration | Kubernetes (EKS) | | Database | PostgreSQL + Redis | | Message Queue | RabbitMQ | | IaC | OpenTofu |
Key Features
- One-click deployment — Choose server size, region, and game type. Ready in under 60 seconds.
- Real-time monitoring — Live dashboards showing player count, CPU, RAM, and bandwidth.
- Auto-scaling — Define rules to scale up/down based on active player sessions.
- Multi-cloud support — Deploy to AWS, DigitalOcean, or Azure from the same interface.
- Backups & snapshots — Automated daily backups with point-in-time restore.
Results
- Reduced server setup time from 2 hours → under 1 minute
- Cut infrastructure costs by 35% through auto-scaling
- Onboarded 50+ game studios within the first 6 months
- Achieved 99.9% uptime across all managed servers
Challenges
One of the biggest challenges was handling the burst traffic pattern common in game launches. We solved this by pre-warming a pool of standby nodes that could be claimed within seconds, rather than waiting for cold-start provisioning.
Another challenge was multi-cloud abstraction — each provider has different APIs and quirks. We built a unified adapter layer that normalized these differences, making it transparent to end users.