The Problem We Were Actually Solving
We run a Hytale server in a production environment, and one of our core objectives is to ensure that the Treasure Hunt Engine doesn't bring our system down. We've been operating at capacity for months, and it's become clear that the engine is the primary bottleneck. The problem isn't just about performance; it's about consistency. We need to ensure that the Treasure Hunt Engine's updates are reflected in real-time across all our servers without introducing inconsistencies that would lead to game-breaking errors.
What We Tried First (And Why It Failed)
Initially, we attempted to solve the problem by scaling up our engine's instances on AWS. We believed that throwing more resources at the issue would magically solve it. We went from 5 to 10 instances, each with 16 vCPUs and 64 GB of RAM. It seemed like a reasonable decision at the time, but in hindsight, it was a case of premature optimisation. The engine's architecture didn't allow for efficient horizontal scaling, and the increased latency caused by network communication between instances ended up hurting our overall performance. To make matters worse, the increased resource usage led to higher costs, which put a strain on our budget. We ended up with a system that was more expensive and less performant than before.
The Architecture Decision
After the initial attempt failed, we took a step back and re-evaluated our approach. We decided to implement a micro-services layer to decouple the Treasure Hunt Engine from our main game logic. We broke down the engine into smaller, autonomous services that communicate with each other using APIs. This allowed us to scale each service independently, reduce latency, and improve overall system resilience. We also introduced a message broker to handle communication between services, which helped to reduce the load on our database. The results were almost immediate: we saw a 30% reduction in latency and a 25% increase in throughput.
What The Numbers Said After
The introduction of the micro-services layer had a significant impact on our system's performance. We measured the following metrics:
- Average server response time: 150ms (pre-micro-services) vs 100ms (post-micro-services)
- Treasure Hunt Engine throughput: 500 requests per second (pre-micro-services) vs 750 requests per second (post-micro-services)
- System latency under heavy load: 200ms (pre-micro-services) vs 150ms (post-micro-services)
These numbers not only validated our architecture decision but also gave us the confidence to scale our system further. We've since added more services to the layer, and our system has become more robust and scalable.
What I Would Do Differently
In hindsight, I would have considered a micro-services layer from the get-go. The added complexity of implementing it later on was worth the trade-off in terms of performance and scalability. I would also have taken a more aggressive approach to monitoring and logging our system's performance, which would have helped us identify issues earlier on. Finally, I would have been more ruthless in eliminating components that didn't add value to our core objective of delivering a seamless gaming experience. By doing so, we could have avoided the mistakes that compounded and focused on delivering a better product to our users.
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