Scaling n8n for AI Automation

Most n8n deployments start the same way: one container, SQLite, a handful of workflows, and it works beautifully. Then someone wires up a webhook that receives a few hundred events a minute, or an AI agent workflow that spends ninety seconds waiting on model responses, and the whole thing falls over. Executions that took two