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? 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:
? 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: