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.
Langfuse Observability nima
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.
📋 Boshlashdan oldin
💰 Hududiy oylik
| Mintaqa | Kichik mutaxassis | Oʻrta darajali | Katta mutaxassis |
|---|---|---|---|
| USA | $85k | $145k | $195k |
| UK | $50k | $92k | $135k |
| EU | $55k | $97k | $145k |
| CANADA | $80k | $135k | $180k |
🎓 Sertifikatlar
⚖ Bilan taqqoslang
❓ Koʻp soʻraladigan savollar
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?
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2 521 kariera boʻyicha koʻnikmaʻga asoslangan moslashtirish. Bepul, ~2 daqiqa.
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