Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

Once n8n moves into production with hundreds of workflows and high payload volumes, monolithic flows hit memory ceilings, API rate limit constraints and upstream outages. This course covers the engineering practices required to design resilient, modular and scalable n8n architectures.

Participants build reusable sub-workflow layers, write complex transformations in JavaScript and Python via the Code node, implement centralized error handling, stream binary files, scaffold custom nodes and configure Redis-backed queue mode for horizontal scaling.

Who Should Attend?

  • Automation engineers who already know n8n basics and build complex production workflows
  • Software developers and architects running high-volume integrations and data sync pipelines
  • Platform engineers managing self-hosted n8n reliability, security and performance
  • Prerequisite: hands-on n8n experience and working knowledge of JavaScript and REST APIs

Key Takeaways

  • Architect maintainable automation systems with reusable sub-workflow contracts
  • Write advanced data transformations and custom logic inside the Code node
  • Process large datasets safely with API pagination, batching and rate limit throttling
  • Implement Error Trigger workflows, retry strategies and idempotent recovery patterns
  • Tune self-hosted deployments with Redis queue mode, workers and memory controls

Curriculum

Modular Architecture and Sub-Workflows
  • Building reusable service layers and clean contracts with Execute Sub-workflow
  • Synchronous vs asynchronous webhook responses and state coordination
Code Node and Complex Transformations
  • Multi-input manipulation, binary buffers and schema reshaping in JavaScript and Python
  • Safely leveraging external libraries and optimizing Code node execution time
Advanced API Patterns and High-Volume Data
  • OAuth2 flows, request signing, automated pagination and GraphQL queries
  • Memory-safe batching with Loop Over Items and rate limit backoff control
Centralized Error Handling and Resilience
  • Global Error Trigger workflows, node-level retries and failure routing
  • Idempotency keys, compensating actions and structured audit logging
Custom Nodes and Enterprise Scaling
  • Scaffolding custom nodes and credentials in TypeScript
  • PostgreSQL, Redis queue mode, dedicated webhook/worker processes and RBAC

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