Building Scalable Game Backends with C# and .NET 8
Introduction
When building backend systems for games with 100k+ daily active users, performance and scalability are non-negotiable. In this post, I share patterns I've used at companies like Etermax and Trick Studio to build robust game server infrastructure.
Key Architecture Decisions
1. Use .NET 8 for Maximum Performance
.NET 8 brings significant performance improvements, especially for server workloads. The new AOT compilation and improved garbage collection make it ideal for game backends where low latency matters.
var builder = WebApplication.CreateBuilder(args);
// Configure for high-throughput game server
builder.Services.AddStackExchangeRedisCache(options =>
{
options.Configuration = builder.Configuration.GetConnectionString("Redis");
options.InstanceName = "GameState_";
});
builder.Services.AddSingleton<ILeaderboardService, RedisLeaderboardService>();
2. Redis for Real-Time State
For multiplayer games, Redis serves as both a cache layer and a real-time state store. We use Redis sorted sets for leaderboards and pub/sub for broadcasting game events.
public async Task<long> UpdateLeaderboard(string playerId, double score)
{
var db = _redis.GetDatabase();
await db.SortedSetAddAsync("weekly_leaderboard", playerId, score);
return await db.SortedSetRankAsync("weekly_leaderboard", playerId, Order.Descending) ?? -1;
}
3. Docker and Kubernetes for Scaling
Containerizing game servers allows horizontal scaling during peak hours. Kubernetes autoscaling ensures you're not paying for idle resources during off-peak times.
Production Lessons
- Always implement circuit breakers for external service calls
- Use connection pooling aggressively for database connections
- Monitor memory allocation patterns to avoid GC pauses during gameplay
- Implement graceful shutdown to handle rolling deployments without dropping active sessions
These patterns have helped me build systems that handle thousands of concurrent players with sub-100ms response times.