The tutorial explores the creation of a dynamic, scalable matchmaking system for multiplayer games by integrating Epic Online Services (EOS) and PubNub. It emphasizes that effective matchmaking involves more than just skill-based matching, incorporating factors such as latency, regional proximity, playstyle compatibility, and toxicity prevention. Traditional systems like Skill-Based Matchmaking (SBMM) or Engagement Optimized Matchmaking (EOMM) often face challenges like predictable patterns or unfair latency, which this approach seeks to overcome. The system continuously evaluates live player data to match players based on multiple criteria, dynamically adjusts rules without server redeployment, and manages game sessions using EOS. PubNub is used for real-time messaging, decision intelligence, and managing player metadata, enhancing the flexibility and scalability of the system. The tutorial provides a detailed guide on setting up the system, including the orchestration layer in TypeScript, dynamic constraints through PubNub Illuminate, and EOS session management, with the entire project available on GitHub for customization and scaling.