flyio-performance-tuning

# Fly.io Performance Tuning ## Overview Optimize Fly.io performance: eliminate cold starts, right-size VMs, leverage multi-region for low latency, and tune concurrency settings. ## Instructions ### Step 1: Eliminate Cold Starts ```toml # fly.toml — suspend instead of stop for faster resume (~100ms vs ~5s) [http_service] auto_stop_machines = "suspend" # Suspend to RAM, not full stop auto_start_machines = true min_machines_running = 1 # Always-warm in primary region # For latency-critical: keep machines running in all regions # min_machines_running applies globally ``` ### Step 2: Right-Size VMs ```bash # Check current allocation fly scale show -a my-app # Start small, scale up based on metrics fly scale vm shared-cpu-1x --memory 256 # Start here fly scale vm shared-cpu-1x --memory 512 # If memory-constrained fly scale vm shared-cpu-2x --memory 1024 # If CPU-bound fly scale vm performance-2x --memory 4096 # For compute-heavy workloads ``` | Workload | VM | Memory | When | |----------|-------|--------|------| | Static site / API proxy | shared-cpu-1x | 256mb | Low traffic | | Node.js API | shared-cpu-1x | 512mb | Most apps | | Heavy processing | shared-cpu-2x | 1gb | Background jobs | | Database / ML | performance-2x | 4gb | Compute-intensive | ### Step 3: Multi-Region Latency Optimization ```bash # Deploy close to your users fly scale count 1 --region iad # US East fly scale count 1 --region lhr # Europe fly scale count 1 --region nrt...