OpenTelemetry Governance & Observability Cost Control
Your observability bill is growing faster than your infrastructure.
A control plane to govern OpenTelemetry Collectors — telemetry policies, guardrails, and cost visibility — before data hits Prometheus, Thanos, ELK, or vendors.
- Stop cardinality explosions before they break Prometheus or blow up storage.
- Control what telemetry you keep using consistent, policy-driven sampling.
- Attribute observability cost to services and teams with change visibility.
Common Observability Cost and Cardinality Problems
Symptoms we hear from platform teams
Collector config sprawl across clusters
No one can explain why observability cost spiked
PII and sensitive fields leaking into logs
Why OpenTelemetry Governance Is Missing Today
OpenTelemetry standardized instrumentation. But governance — consistent policies for sampling, cardinality, and cost control — is still missing.
- High-cardinality labels introduced accidentally, causing metric explosions
- Sampling policies inconsistent across teams and clusters
- No safe rollout or rollback for OTel collector config
- PII redaction implemented differently everywhere
- No ownership or accountability for telemetry cost attribution
Governance for OpenTelemetry Collectors (Not Another Backend)
TelemetryControl does not replace your observability backends like Prometheus, Thanos, or ELK. It provides OTel collector governance centrally, across clusters — applying consistent telemetry policies for sampling, redaction, and observability cost control before data reaches your storage or vendor systems.
Whether you use Prometheus and Thanos for metrics, ELK or OpenSearch for logs, or commercial vendors — TelemetryControl sits above collectors and below backends, enforcing governance without changing your existing stack.
Onboarding existing clusters
Designed for incremental adoption. No rip-and-replace required.
Discover existing OpenTelemetry Collectors
Read-only discovery of your current collector deployments across clusters.
Deploy a lightweight agent/operator
Minimal footprint agent that syncs with the control plane.
Start with gateway overlay OR adopt collectors with canary rollout
Choose your adoption path based on risk tolerance.
Apply governance policies gradually
Redaction → Guardrails → Sampling — incremental adoption, not big bang.
Capabilities
Policy-as-code
Sampling, filtering, and redaction rules defined in code.
Cardinality guardrails
Attribute registry and hard limits to prevent explosions.
Config versioning
Diff, audit, and rollback collector configurations.
Canary rollouts
Progressive rollout of collector configs with automatic rollback.
Usage metering
Track logs, metrics, and traces volume at the collector.
Cost showback
Attribute telemetry cost by service, team, or environment.
Backend-agnostic routing
Multi-tenant boundaries and flexible routing rules.
Compliance reporting
Audit logs and compliance reports for governance.
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How to Control Observability Cost Before Data Hits Prometheus or ELK
Frequently asked questions