OpenLLMetry Monitoring
OpenLLMetry is an observability framework for LLM applications using OpenTelemetry standards. Track costs, latency, errors, and quality metrics across LLM calls. Works with OpenAI, Anthropic, Cohere, and others. Used by AI product teams for production observability. Salary: mid 135-155k. Learn in 3-4 weeks. Complements LLM Fundamentals and AI Observability.
What is OpenLLMetry Monitoring
OpenLLMetry is an open-source observability framework for LLM applications based on OpenTelemetry standards. It instruments LLM API calls (OpenAI, Anthropic, Cohere, etc.) and exports traces to any OpenTelemetry backend (DataDog, New Relic, Jaeger). Key features: cost tracking, latency measurement, error detection, and quality metrics for LLM-powered applications.
📋 Before you start
💰 Salary by region
| Region | Junior | Mid | Senior |
|---|---|---|---|
| USA | $80k | $135k | $185k |
| UK | $48k | $87k | $125k |
| EU | $52k | $92k | $135k |
| CANADA | $75k | $125k | $170k |
🎓 Certifications
❓ FAQ
Is OpenLLMetry free?
Does OpenLLMetry track costs?
Can I use OpenLLMetry without changing code?
What backends does OpenLLMetry export to?
How does OpenLLMetry compare to LangSmith?
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