NATIVE MODELS
Proof, not vibes
Timestamped metric values, JSON context, baselines, targets, and uniqueness constraints turn ROI into auditable Nautobot data.
Nautobot 3.1+ · Python 3.10+
Put automation ROI on the board.
Native Nautobot telemetry that converts time saved, error reduction, throughput, and adoption into timestamped, API-ready proof. No victory laps without the numbers.
ROI Command Center
LIVE
Time Saved
1.75HR
TARGET LOCKED
Error Reduction
90%
QUALITY SURGE
Throughput
400%
CAPACITY UNLEASHED
Adoption
60%
TEAM MOMENTUM
Configured v1 target values · live data replaces the demo feed
But wait, there’s more
Four unfair advantages. Zero soft claims.
IDEMPOTENT
Replay with confidence
The transactional seed Job creates or updates deterministic observations, supports dry runs, and refuses duplicate noise.
EVERY SURFACE
Metrics everywhere
Drive the dashboard, CRUD endpoints, aggregate summary API, GraphQL, webhooks, filters, and exports from one source of truth.
BATTLE TESTED
Built to clear checks
Docker-backed Nautobot tests, migration checks, permissions, invalid payloads, Ruff, Poetry, builds, and strict docs all get called up.
Play of the game
One job. Four scorecards.
Choose a metric. Watch the formula and operational context snap into focus. This is how automation earns budget.
metric-definition.json
Announcer breakdown
Why it wins
The stat board
0
ROI metrics activated
0
REST endpoints fielded
0
Max sample days per run
1×
Unique observation key
Join the squad
Stop defending automation. Start proving it.
Clone the app. Enable the plugin. Seed the first four scorecards. Put measurable Nautobot-backed automation outcomes in front of the people making the next decision.
$
git clone https://github.com/Lipford-Dutch/nautobot-app-custom-metrics.git