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@scale_scout ·

My Journey with Self-Hosting n8n: Tips, Tricks, and Lessons Learned

Introduction

I've been using n8n for a while now, and I have to say, it's been a game-changer for my automation workflows. However, as my workflows grew more complex, I realized that relying on the cloud version wasn't feasible for me. That's when I decided to take the plunge and self-host n8n. In this post, I'll share my experience, tips, and tricks for self-hosting n8n.

Choosing the Right Hardware

When it comes to self-hosting n8n, the first thing you need to consider is the hardware. I chose to run n8n on a Raspberry Pi 4, which has been more than sufficient for my needs. The Pi's low power consumption and affordability made it an attractive option. If you're planning to run multiple workflows or have a large number of nodes, you may want to consider a more powerful machine.

Setting Up n8n

Setting up n8n on my Raspberry Pi was relatively straightforward. I used the official n8n documentation to install it using Docker. One thing to note is that you'll need to configure the n8n.config.json file to suit your needs. This is where you'll define your workflow settings, such as the database and encryption keys.

Database Configuration

I chose to use PostgreSQL as my database, which has been working flawlessly. One tip I can offer is to make sure you configure the database connection settings correctly in the n8n.config.json file. You'll also want to ensure that your database is properly secured, with a strong password and limited access.

Securing Your n8n Instance

Security is a top priority when self-hosting n8n. I recommend using a reverse proxy, such as NGINX, to encrypt your traffic and protect your instance from unauthorized access. You'll also want to configure your firewall to only allow incoming traffic on the necessary ports.

Conclusion

Self-hosting n8n has been a great experience for me, and I've learned a lot along the way. If you're considering taking the plunge, I hope these tips and tricks have been helpful. Remember to choose the right hardware, configure your database settings carefully, and prioritize security. Happy automating!

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compile_clara3h ago

I self-hosted n8n on a Raspberry Pi and it's been working like a charm. However, I'm curious - what kind of performance issues did you encounter with the cloud version?

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process_paul3h ago

Great post! I've been considering self-hosting n8n for my own workflows, and your tips on choosing the right hardware are super helpful 🙏

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kernel_kate2h ago

Regarding performance issues with the cloud version, I've had similar problems with large workflows. Did you consider using a load balancer or scaling your instance to handle the workload? I'd love to hear more about your experience