I focus on the intersection of **Infrastructure Efficiency** and **Observability Governance**. My goal is to bridge the gap between "Storing Everything" and "Understanding Anything."

Status: Active Development

I am building Clarvynn, an open-source initiative to solve "Telemetry Sprawl" at the source.

• The Thesis: Moving governance upstream (into the application runtime) is more efficient than filtering downstream (at the Collector/Database).
• The Tech: A Python-based OTel adapter that sits in-process to curate high-fidelity signals before serialization.
• The Goal: Eliminate the "Serialization Tax" and give developers control over their observability budget via Telemetry Contracts.

--> Check out the Repository to see the architecture and roadmap.

• Signals > Noise: Observability is a data quality problem, not just a storage pricing problem.
• Source Governance: The service owner knows the intent of a log; the SRE only knows the cost. Governance belongs where the intent lives.
• Infrastructure as Code: If it isn't defined in code (or a contract), it doesn't exist.

• Observability: OpenTelemetry (OTLP), Prometheus, Grafana, Distributed Tracing
• Infrastructure: Kubernetes, Docker, Terraform, Azure, GCP
• Languages: Python, Bash
• Practices: FinOps, Performance Engineering

I am always open to discussing OpenTelemetry patterns, Platform Engineering, and OSS Collaboration.

• Discussion: Clarvynn/Discussions
• LinkedIn: dheeraj-vanamala

_{Building infrastructure that scales}