The n8n Automation Handbook: Mastering AI Integration, API Workflows, and Scalable Systems
商品資訊
ISBN13:9798286182572
出版社:Independently published
作者:Andrew Albert
出版日:2025/06/02
裝訂:平裝
規格:25.4cm*17.8cm*2.4cm (高/寬/厚)
商品簡介
商品簡介
Building on the success of n8n AI Revolution: Automating Intelligent Workflows, Seamless AI Integrations, and Scalable Business Solutions, The n8n Automation Handbook takes you from foundational concepts to enterprise-grade, future-proof architectures. If you've already harnessed n8n for AI-driven tasks, this next volume shows you how to:
Purchase your copy of The n8n Automation Handbook: Mastering AI Integration, API Workflows, and Scalable Workflow Systems today, and begin architecting the truly autonomous systems of tomorrow.
- Advance AI Integrations: Sequence multi-AI pipelines (ChatGPT, Midjourney, custom vision models), deploy TinyML or ONNX models on edge devices, and orchestrate real-time inference alongside centralized workflows.
- Engineer Resilient API Workflows: Handle OAuth2, GraphQL, SOAP, and REST with robust pagination, rate-limit, and retry logic. Build reusable sub-workflows for common patterns like "CSV-to-Database Upsert" and integrate CI/CD for consistent deployments.
- Scale and Secure: Optimize n8n's Redis queue and PostgreSQL pools, run n8n in Kubernetes with horizontal scaling, and enforce enterprise-grade governance (RBAC, GDPR, SOC2, HIPAA, and secrets management).
- Embrace Edge and Self-Healing: Learn to run inference on NVIDIA Jetson or Coral TPUs, buffer data offline, and push only anomalies upstream. Implement self-healing patterns that rotate credentials, auto-scale services, and reroute traffic without manual intervention.
- Move Toward Autonomy: Layer in feedback loops and ML-driven decision engines so your pipelines not only execute tasks but also adapt in real time auto-correcting failures, optimizing resource usage, and learning from outcomes.
Purchase your copy of The n8n Automation Handbook: Mastering AI Integration, API Workflows, and Scalable Workflow Systems today, and begin architecting the truly autonomous systems of tomorrow.
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