Zero-code. Zero-data. OpenTelemetry-native.
Govern telemetry. Never touch data.
Governmetry helps platform teams turn technical telemetry into governed business context without changing application code or moving sensitive payloads into the observability stack.
Built for teams exploring design-partner pilots. Public claims are intentionally limited to what the current product materials support.
The problem
Observability has a governance gap.
OpenTelemetry standardizes how signals move, but it does not decide which business context should be observed, who can change it, which dimensions are safe, or how telemetry cost should be controlled.
Business context is trapped in code
New dimensions often require developer work, release cycles and repeated changes across services.
Payload access creates risk
Capturing bodies, messages or raw values can expand privacy, security and review scope.
More telemetry can mean less control
High-cardinality fields, duplicated signals and unmanaged exports make cost and signal quality harder to govern.
The proposition
A control plane for business-aware telemetry.
Governmetry is an OpenTelemetry-native layer for discovering, governing and enriching metrics and traces with business context at the source. It complements observability backends rather than replacing them.
- Define which technical metrics remain active and which should be suppressed.
- Create policy-driven business metrics and enriched traces from observed runtime context.
- Apply PII deny rules and cardinality limits before signals reach downstream tools.
- Keep the customer’s existing OTLP-compatible backends in place.
Core benefits
Control, context and safety before the backend bill arrives.
Faster insight
Move from generic technical signals to business-aware views without waiting for every service team to add instrumentation.
Better governance
Centralize rules for metric control, enrichment, field selection and policy approval.
Cost discipline
Reduce unnecessary signal volume and protect against uncontrolled high-cardinality dimensions.
Lower data exposure
Use structure and explicit field rules instead of shipping raw payloads into observability systems.
Vendor neutrality
Keep using OpenTelemetry-compatible tools such as Prometheus, Jaeger, Grafana or commercial backends.
Shared language
Give platform, product and business teams a clearer way to discuss operational impact.
How it works
Govern at the source, export through the stack you already trust.
The product is designed around a narrow principle: enrich signals with useful business structure while keeping sensitive values out of the control plane.
Use cases
Where Governmetry fits first.
The current materials support a focused early-market story for platform and product teams with OpenTelemetry adoption and clear business-context gaps.
Platform observability standards
Govern metric groups, enrichment policies and telemetry defaults across services without turning every change into a code task.
Business-aware incident analysis
Understand which product, region, flow or segment is affected when latency, errors or throughput change.
Telemetry cost control
Identify and limit high-cardinality dimensions before they create backend noise or avoidable cost.
Design-partner pilots
Validate one high-value Java HTTP or Kafka scenario before expanding scope across languages and environments.
Credibility
Built from a working POC, presented with mature limits.
Governmetry is not positioned here as a finished enterprise platform. The current evidence supports a serious POC and a disciplined path toward production readiness.
Next step
Explore whether your telemetry problem is a governance problem.
If your team is already using OpenTelemetry and still struggles to connect operational signals with business context, Governmetry is ready for a focused conversation.