Langfuse Observability
Langfuse is an open-source observability platform for LLM applications, agnostic of LangChain or other frameworks. It captures traces, manages prompt versions, collects user feedback, and provides analytics dashboards. Used by AI product teams to debug, optimize, and monitor LLM workflows. Salary: mid 140-160k. Learn in 3-4 weeks. Complements LLM Fundamentals, API Design, and Production Deployment.
Что такое Langfuse Observability
Langfuse is an open-source observability and analytics platform for LLM applications. Unlike LangSmith (which is LangChain-native), Langfuse works with any LLM framework, SDK, or custom code. It captures execution traces, manages prompt versions, collects user feedback, and provides SQL-like analytics for debugging and optimization. You can use Langfuse Cloud (managed) or self-host on your own infrastructure, giving you full control over data residency and privacy.
📋 Перед стартом
💰 Зарплата по регионам
| Регион | Младший специалист | Middle | Старший специалист |
|---|---|---|---|
| USA | $85k | $145k | $195k |
| UK | $50k | $92k | $135k |
| EU | $55k | $97k | $145k |
| CANADA | $80k | $135k | $180k |
🎓 Сертификации
⚖ Сравнить с
❓ Частые вопросы
Is Langfuse open-source?
How does Langfuse compare to LangSmith?
What languages does Langfuse support?
Can I self-host Langfuse?
What about data privacy with Langfuse Cloud?
Не уверены, что этот навык вам подходит?
Пройдите Career Match — подскажем подходящие направления.
Подобрать навыки под меня →Найдите свой карьерный путь
Подбор по навыкам среди 2536 профессий. Бесплатно, ~2 минуты.
Пройти Career Match — бесплатно →