A Control Plane for OpenTelemetry
Enforcing Purposeful Observability at the Edge.
We operate on the principle that observability is a signal-to-noise problem, not a storage problem. While auditability demands retention, the overwhelming volume of routine telemetry should never consume the compute and human attention reserved for critical signals.
Clarvynn exists to solve the "Missing Tooling Gap" in the OpenTelemetry ecosystem: Source-Level Governance. Instead of dumping unsampled data into collectors, Clarvynn empowers engineering teams to define Explicit Intent and enforce Deferred Head Sampling directly within the application process.
The Goal: Capture 100% of critical context (errors, latency, golden signals) while aggressively sampling the routine noise before it consumes network or compute resources.
Clarvynn is designed as a language-agnostic control plane. Currently, the reference implementation is available for Python, with other languages on the roadmap.
| Component | Status | Description |
|---|---|---|
| clarvynn-otel-python | Beta | Available Now. Hooks into OTel Python SDK to provide CPL evaluation and the log buffer. |
| clarvynn-otel-go | Planned | Native Go adapter for high-performance services. |
| clarvynn-otel-java | Planned | Java agent extension for enterprise workloads. |
| Component | Status | Description |
|---|---|---|
| CPL (Clarvynn Policy Language) | Spec | The universal schema for defining observability intent. Currently hosted within the Python adapter repository. |
Clarvynn is an Open Source project designed to complement OpenTelemetry. We actively track upstream SIGs (Config, Sampling) to ensure our architecture aligns with the future of the standard.
- Validation: Our architectural approach addresses gaps identified by OpenTelemetry Governance Committee member.
- Contribution: We welcome contributors who want to help build the standard for Purposeful Observability.
- Pilot Inquiries: dheerajvanamala@clarvynn.io
Built by @dheeraj-vanamala
