Workflow fleet monitoring dashboard automation for N8n
Workflow fleet monitoring dashboard automation for N8n is an integration job, not a software purchase. Data Jockey has built one as a Docker container on the VPS: it runs in production. This page publishes the calls, reads, writes and safety checks that build used, read out of the code.
What it calls
This is the endpoint this build calls directly, with runtime values replaced by a placeholder.
- polls `DJ_N8N_URL` and `a brand_N8N_URL` `api/v1/workflows` and `executions`
Safety checks
An automation that writes into a system of record has to refuse some cases. These are the checks this build makes before it acts.
a local git-commit feed
generic HTTP health probes with a 5s timeout
alert rules and an SSE stream
bounded dedupe sets
Schedule and settings
These are the tuned constants from the delivered build. They are included because they are the part nobody can guess in advance, and they are the part a second implementation gets wrong.
- internal loops from 2s to 120s
Where it runs
It runs as a Docker container on the VPS.
It also touches Git.
What this record is
Data Jockey is a services firm, so this page is an implementation record. There is no product to buy here and no price on this page.
No customer is named on it either. Data Jockey publishes no customer list, and the calls and checks above are the part a reader can check.
Questions we hear
- Is workflow fleet monitoring dashboard automation for N8n a product or a project?
- It is a project. The queries on this page are specific to how one company had its N8n set up: which fields carried the human identifier, which documents already existed, and where a human had to stay in the loop. A product cannot know any of that in advance, which is why the integration is the work.
- Did this run in production?
- Yes. It runs in production today as a Docker container on the VPS, and this page is read out of the code that runs.
- What happens when the automation is not sure?
- It stops. This build carries 4 distinct kinds of check, and every one of them exists to hand the case to a person. Automating the confident cases and routing the rest is what makes an integration safe to leave running.
- Can Data Jockey build this for us?
- Book a call and we will scope it against the systems you already run. Data Jockey publishes no prices, so there is no figure on this page, and what a build costs depends on what your setup turns out to need.
Where these facts come from
Every call, table, check and setting above comes from the delivery record of this build, and each identifier in it was checked against the file that implements it by tools/capture-proof-of-work.mjs. The capture is committed at data/raw/dj-proof-of-work-capture-2026-09-07.json and records a sha256 of each source file. Generated 2026-09-07. No figure here was rounded, averaged or estimated.
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