Concurrent Processing
Last updated
Last updated
MoonadSwap is engineered to handle thousands of simultaneous user interactions without delay. This is made possible through an architecture that combines concurrency and parallelism — two powerful concepts in modern computing.
Each user interaction — whether a swap request or a settings update — is treated as a task. These tasks are executed concurrently and in parallel, ensuring lightning-fast performance even under heavy load.
Key features:
✅ All tasks are processed immediately
🚫 No task is ever queued or deprioritized
🧠 Intelligent memory and CPU allocation
Multiple tasks appear to be running at the same time by sharing time on the same processor core.
Like juggling tasks quickly
Optimizes throughput
Useful for I/O-heavy operations
Tasks are executed literally at the same time using multiple processor cores.
Like having multiple hands juggling at once
Optimizes execution speed
Ideal for compute-intensive workloads
MoonadSwap uses both techniques together — resulting in high efficiency and scalability.
Each incoming task is isolated and processed as a unit
The system does not prioritize one over another — all tasks are treated equally
Processing time per task is typically under 0.2 seconds
This is made possible through Golang's goroutines, which allow lightweight, parallel execution across CPU cores.
Imagine four cars starting a race at the exact same time.
In many programming languages, these cars (tasks) would be started one after the other, with each one receiving a time slot.
In Go, each car is given its own track and starts at the same millisecond, racing independently.
This is how MoonadSwap processes your requests.
By combining concurrency and parallelism:
The system avoids CPU bottlenecks
Response times are minimized even during traffic spikes
Each task is broken into sub-tasks and distributed efficiently
Every user action — no matter how complex — is completed in near real-time.
Thanks to this architecture, MoonadSwap can:
Handle spikes in traffic without delays
Scale horizontally with more cores or servers
Provide a consistent, low-latency experience
MoonadSwap’s concurrency model ensures that no user is ever kept waiting, no matter how many are active at once. That’s the power of modern system design — applied to your Telegram swaps.
