Hello,
What are the core principles of the architecture underlying the N8N workflow automation platform, and how do they contribute to its scalability, flexibility, and maintainability?
Hello,
What are the core principles of the architecture underlying the N8N workflow automation platform, and how do they contribute to its scalability, flexibility, and maintainability?
It looks like your topic is missing some important information. Could you provide the following if applicable.
Hi @Kawther_Bensalem, thanks for reaching out and being a part of the community. I’ve reached out to our engineering team to chime in here, as it’s a fun question and I don’t want to leave them out
I don’t know exactly what topic would you be interested in, but I can give you a glimpse of some information and then you can help me steer in the right direction.
n8n separates the nodes into 2 broad categories: triggers and regular nodes
Triggers themselves can be of 3 different types:
As you can imagine from the above, the HTTP related triggers can be scaled horizontally by adding more web servers that are handling incoming requests. The other 2 types are a bit more complicated, as scaling those could end up in work duplication.
Once a spark happens (any of the above trigger types kicks off) an execution is started, and it can then be sent to a queue and n8n worker processes can handle. This is how you can scale n8n to handle hundreds or even thousands of executions concurrently.
Any specific information you’d like to understand better?
ok but How we can present the components of n8n in relation to the models, controllers, and views in object-oriented frameworks?
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