CodeNSM is drop-in observability that treats every function like an employee — tracking how often it works, how reliably, and how much it contributes to your product’s North-Star Metric. So you can see where tech debt hurts, what’s underused, and which code creates value — without wiring up dashboards by hand.
You know latency and error rates. You don’t know which functions move the metric the business actually cares about.
The painful debt isn’t the ugliest code — it’s the code that’s both fragile and load-bearing. That’s hard to see by hand.
Features no one uses still cost you maintenance, surface area, and risk. Underuse rarely shows up on a dashboard.
Each function gets tracked the way you’d track a team member or a machine on a line — utilisation, reliability, and contribution — then rolled up into departments, KPIs, and one North-Star Metric.
One import. Decorate the functions you care about — or let middleware auto-instrument requests.
Calls, latency, errors, and self-healing RCA on failures — captured with near-zero overhead.
Give functions a value-weight and a department. CodeNSM rolls utilisation into OKRs, KPIs, and a North-Star.
See top contributors, underused dead weight, and the tech debt that actually hurts. Decide what to invest in or retire.
Usage, reliability and latency for every tracked function — like overall equipment effectiveness, but for code.
Attach code to the outcomes it serves. Watch contribution roll up into departments and a single North-Star Metric.
Find the fragile-and-load-bearing code — high error rate × high contribution — and fix what matters first.
Surface features and paths almost nobody hits, so you can retire dead weight with confidence.
On failure, CodeNSM runs multi-level root-cause analysis, attempts safe remediation, and logs an incident.
Pull in Git history to attribute value to developers, sprints and PRs — see whose work and which sprints yield ROI.
We’re onboarding teams gradually. Tell us a little about your stack and we’ll reach out.