Async I/O + CPU Tasks in 2025: Keep the Loop Fast and Cores Busy

🔥 Fetch 10k APIs/min and crunch GBs of data? You need this combo:
✅ Async I/O → Fetches data fast without blocking
✅ Process Pool → Runs heavy math on real cores, skips the GIL
✅ No Blocking → Network coroutines don’t wait on CPU tasks

💡 Real-world wins:
• Resize 300k images without freezing the loop
• Score 1M products in e‑commerce while page stays snappy
• Model financial risk live without stalling price feeds

🎯 Pro tips:
• Match pool size to CPU cores
• Log network vs CPU time separately
• Use in-memory caching for repeated data
• Cap concurrency to stay API-friendly

👉 Async brings scale, but CPU work needs its lane too.
Want snappy, high-throughput services? Split the load and tune both knobs: connector limit + process count.

🧵 Read the full breakdown here: https://blog.devgenius.io/asynchronous-i-o-cpu-logic-in-2025-a-high-throughput-recipe-77fbc6cb8dfc