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Scaling n8n Workflows

Scale Patterns

  • Vertical: increase CPU/RAM for heavy workflows
  • Horizontal: multiple instances behind a load balancer
  • Queue workers for high‑concurrency tasks

Concurrency & Rate Limits

  • Use workflow‑level concurrency controls to prevent resource contention
  • Respect external API rate limits with retries and backoff

Long‑Running Jobs

  • Offload to workers; add heartbeats and checkpoints
  • Use timeouts and cancelation for stuck executions

Performance Tips

  • Cache frequent API calls and paginate data
  • Split monolithic workflows into modular subflows
  • Prefer batch operations when integrating with external systems