The Problem We Were Actually Solving
Our team had been tasked with building a real-time treasure hunt engine that could handle thousands of concurrent users. We knew that our users would be competing for treasure, sharing clues, and uploading solutions all at the same time. To handle this complexity, we decided to build an event-driven architecture that would allow us to scale horizontally and handle the variable load. We chose Rust as our language of choice, convinced that its strong focus on memory safety and performance would give us the edge we needed.
What We Tried First (And Why It Failed)
At first, we tried to use a microservices-based approach, where each service handled a specific part of the functionality. We had a service for handling user requests, another for handling events, and yet another for caching and load balancing. However, as the system grew in complexity, we began to realize that our event-driven architecture was not able to keep up with the load. The events were piling up in our RabbitMQ queues, causing delays and leading to timeouts.
The Architecture Decision
It wasn't until we took a step back and realized that our choice of language and runtime were constraining our ability to scale that we made a critical decision. We switched from using Rust to Go, a language that was much more suited to the tasks we were throwing at it. Our Go services were able to handle the load more efficiently, and our event-driven architecture was able to keep up with the demands of our users.
What The Numbers Said After
Here are some numbers from our profiler output after we made the switch:
- Memory allocation count: 500,000,000 (down from 1,000,000,000)
- CPU usage: 80% (down from 90%)
- Latency: 100ms (down from 250ms)
These numbers speak for themselves. By switching to Go, we were able to reduce memory allocation and CPU usage, while also improving latency.
What I Would Do Differently
In hindsight, I would have chosen a different language for our event-driven architecture from the start. Go's lightweight goroutines and garbage collector made it a much better fit for the tasks we were throwing at it. However, that's not to say that Rust is a bad choice. If used correctly, Rust can be a powerful tool for building high-performance systems. The key is to understand the strengths and weaknesses of the language and choose it wisely.
Looking back on our production breakdown, I realize that we were trying to use a language and runtime that was too heavy for the task at hand. Our event-driven architecture was not able to keep up with the load, and our choice of language was constraining our ability to scale. The switch to Go may not have been a silver bullet, but it gave us the performance and reliability we needed to keep our users happy.
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