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Monitor workflow audits and failures with InfluxDB dashboard

ŁukaszŁukasz
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2/3/2026
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Who is it for

This workflow is for anyone who is using N8N. It's especially helpful if you are a DevOps and your N8N instance is self hosted. If you carea lot about security and number of failed executions and at the same time you are using InfluxDB to monitor status of your systems, this will perfectly fit in your stack.

How it works

This automation is fairly simple. It uses native N8N nodes to gather data from itself. Then it is parsing this data to be compatible with InfluxDB input. And finally it is sending this data to InfluxDB for further processing.

Remember to set up

Setup is really simple and you just need to provide just three variables. First is your InfluxDB URL, second is your InfluxDB organization, and third is your InfluxDB bucket name.

Of course, to set up N8N nodes and gather data from them, you will need your instance API key.

And that's all.

How it looks in InfluxDB?

See below

N8N data in InfluxDB.png

Schedule Audits

Audits don't need to be run often, but I would recommend it to be run on regular basis. This way you can see real data series in InfluxDB. I think that once a day should be enough, but it depends on your N8N usage of course

Thank you, perfect!

Glad I could help. Visit my profile for other automations for businesses. And if you are looking for dedicated software development, do not hesitate to reach out!

You can also see automations on my Sailing Byte's GitHub N8N repository.

n8n Workflow: Basic Workflow Structure Example

This n8n workflow demonstrates a fundamental structure including a trigger, data manipulation, and an HTTP request. It serves as a template for building more complex workflows.

What it does

This workflow showcases a basic n8n execution flow:

  1. Trigger: It can be initiated manually or on a schedule.
  2. Edit Fields (Set): Placeholder for data transformation. This node is typically used to set, rename, or filter fields in the incoming data.
  3. Split Out: This node would typically split a single input item into multiple items, often used when processing arrays within an item.
  4. Merge: This node is used to combine multiple incoming data streams into a single stream.
  5. Summarize: This node aggregates data, performing operations like counting, summing, or averaging.
  6. HTTP Request: This node is configured to make an HTTP call to an external service or API.
  7. n8n: This node is a placeholder and doesn't perform any specific action in this example, but it could be used for advanced n8n operations like executing another workflow.
  8. Sticky Note: A visual aid for documentation within the workflow canvas.

Prerequisites/Requirements

  • An n8n instance (self-hosted or cloud).
  • No specific external service credentials are required for this basic structure, but the "HTTP Request" node would require configuration for any external API you intend to call.

Setup/Usage

  1. Import the workflow: Copy the JSON content and import it into your n8n instance.
  2. Configure the Trigger:
    • Manual Trigger: Click "Execute Workflow" to run it manually.
    • Schedule Trigger: Configure the "Schedule Trigger" node to run the workflow at desired intervals (e.g., every hour, daily).
  3. Customize Nodes:
    • Edit Fields (Set): Modify this node to perform the specific data transformations you need.
    • Split Out: Configure this node if you have array data that needs to be processed item by item.
    • Merge: Adjust the merge strategy if you have multiple data streams to combine.
    • Summarize: Define the aggregation operations you want to perform on your data.
    • HTTP Request: Update the URL, method, headers, and body to interact with your desired API.
  4. Activate the workflow: Once configured, activate the workflow to enable scheduled executions or manual runs.

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