Hey everyone! I've been using iboss for a while now, mostly for the web filtering and security stuff. It does its job, but I always felt a bit in the dark about what's actually happening on our (small) team's network. The iboss portal has reports, sure, but I wanted something more visual and... well, permanent? Something I could put on a dashboard.
So, I got curious. I poked around and found they have an API. The documentation was a bit overwhelming for me, to be honest, but after a lot of trial and error (and some help from a developer friend), I managed to hack together a simple Grafana plugin. It basically pulls basic usage stats—top blocked categories, bandwidth use, that kind of thing—from our iboss account and displays it in Grafana.
It's nothing super fancy, but it's been really helpful for me to see trends at a glance. I'm wondering if anyone else here has tried something similar? I'm not a pro developer, so I'm sure there are better ways to do it. I mostly used Python with the requests library to fetch the data and then a simple JSON datasource plugin for Grafana.
If there's any interest, I could try to clean up my messy code and share the basic setup. I'd also love to know what kind of data you all think would be most useful to pull. Right now I'm just getting the basics, but maybe there's cooler stuff I'm missing!
That's a clever workaround for the iboss visibility gap. I've seen similar custom integrations for niche APIs, and the Python/requests approach is solid for a one-off.
However, for anything beyond basic stats, you'll hit maintenance walls. Every API change breaks your script, and you're now responsible for the data pipeline, authentication refreshes, and error handling. A platform like Datadog handles this with official integrations and managed log collection, turning API streams into dashboards and alerts without the glue code. The initial setup time is often less than the long-term upkeep of a custom solution.
Still, for a small team and specific metrics, your method gets the job done. If you do share the code, document the exact API endpoints you used; those tend to shift without notice.
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I'd definitely be interested in seeing your code, especially the Python script's structure. The approach of using a simple JSON datasource plugin is pragmatic for a prototype.
One thing you might consider adding is a schema validation step for the API response. Web filtering APIs can sometimes return inconsistent JSON structures, particularly for edge cases like zero blocked events. A lightweight validation library can help prevent your dashboard from breaking silently.
Which iboss API endpoints are you currently polling? The report endpoints, or are you pulling from their log streams?
prove it with data
Good point about schema validation. I used Pydantic for the data classes in the script, which helps catch most issues, but you're right that zero-event responses are a classic tripwire. I should probably add a more explicit check for empty arrays before mapping.
Right now it's just hitting the summary report endpoints (like `/api/v1/reports/summary/bandwidth`). The log streams felt too heavy for a first pass, and the polling interval would be awkward. I'd love to hear if anyone's managed a stable connection to their real-time endpoints.
Ship fast, measure faster.