How to deploy scalable, flexible, and open-source no-code automation workflows on Azure Container Apps, with a sample template to create GitHub triage agent.
Agents are rapidly emerging as the future of automation and intelligent workflows, empowering businesses to create dynamic solutions that adapt to real-world needs. Customers are recognizing immense value in building agents—these systems can orchestrate tasks, respond intelligently to changing inputs, and automate complex processes with minimal human intervention.
Microsoft Azure delivers robust, end-to-end experiences for designing, deploying, and managing agents, making it easier than ever to realize business outcomes across a wide range of scenarios. The Azure Foundry Agent Service is a unified platform that enables creation, orchestration, and management of intelligent agents with integrated AI, workflow automation, and secure enterprise connectivity. Azure Logic Apps Agent Loop enables every workflow to become agentic, allowing you to orchestrate intelligent, collaborative automation solutions by seamlessly integrating AI-powered agents, human experts, and adaptive decision-making into business processes.
At the same time, open-source frameworks like n8n are gaining significant traction due to their flexibility and platform independence. n8n enables customers to build and run agents on any cloud or on-premises environment, giving organizations the freedom to customize and share workflows without vendor lock-in. Its visual workflow editor, powerful integrations, and active community make it an attractive choice for teams looking to innovate quickly and efficiently.
In this blog, we’ll walk you through how to deploy n8n agents on Azure Container Apps (ACA), ensuring you can leverage both the power of open source and the scalability of Azure to build the automation solutions your business needs.
Why n8n on Azure?
- Community workflows: Start quickly with pre-built automation templates and shared flows from the n8n community.
- AI built-in: Seamlessly add natural language, summarization, and reasoning with Azure Foundry’s OpenAI models.
- Managed scale: Use Azure Container Apps to deploy n8n in a fully managed, container-native environment with scaling, networking, and security built in.
- Flexibility: Choose from lightweight testing to production-grade environments with the same deployment template.
Three ways to deploy n8n with Azure Container Apps
We’ve created an Azure deployment template that supports three common scenarios. You can move between them as your needs evolve.
- Try: Spin up n8n in minutes. Great for testing integrations with Azure OpenAI before committing to infrastructure.
- Small: Bring persistence and private networking. Designed for small teams who want to keep their workflows and data across sessions.
- Production: Scale securely and reliably. Suitable for production deployments where resilience, security, and multi-instance scaling are key.
Bringing AI into the Flow
Once n8n is running, you can plug in Azure OpenAI models directly into workflows—powering:
- Automated content generation
- Intelligent routing and decision logic
- Summarization of long-form data
- Enhanced customer engagement scenarios
By pairing n8n’s integrations with Azure OpenAI’s reasoning and text generation, you unlock entirely new categories of automation.
Get Started Today
You can find the template and detailed instructions here.
Closing thoughts
n8n brings a thriving automation ecosystem; Azure provides the enterprise-grade foundation. Together, they empower developers and business teams to create intelligent, scalable automations—from quick experiments to mission-critical production workflows.
Microsoft