Screen-Share Langfuse Monitoring Tutorial
Budget: $15 – $25 USD
I need a knowledgeable Langfuse user to sit with me on a live screen-share and show, step by step, how to monitor an AI system that is already in production. My main objective is to master Langfuse’s monitoring workflow—specifically performance metrics, error tracking, and user-interaction insights—so I can keep my model healthy and spot anomalies before they affect customers.
What I expect during the call
• A quick tour of how Langfuse ingests traces and connects to an existing codebase.
• Hands-on guidance wiring my app so the right metrics, errors, and interaction events reach the Langfuse dashboard.
• A walkthrough of the key dashboards: latency, cost, success-rate views, conversation replay, and any alerting rules I should enable.
• Tips on integrating Langfuse alerts into the tools I already run (I’ll share what those are once we’re on the call).
• Time for me to drive the keyboard while you coach, ensuring I can repeat the process on my own after the session.
Acceptance criteria
By the end of the session I can:
1. See live traces from my production instance inside Langfuse.
2. Filter and export performance, error, and user-interaction data.
3. Configure at least one alert tied to a metric we define together.
We can meet on Zoom, Google Meet, or your preferred screen-share platform. I’m flexible on timing but would like to complete this within the next few days.
What I expect during the call
• A quick tour of how Langfuse ingests traces and connects to an existing codebase.
• Hands-on guidance wiring my app so the right metrics, errors, and interaction events reach the Langfuse dashboard.
• A walkthrough of the key dashboards: latency, cost, success-rate views, conversation replay, and any alerting rules I should enable.
• Tips on integrating Langfuse alerts into the tools I already run (I’ll share what those are once we’re on the call).
• Time for me to drive the keyboard while you coach, ensuring I can repeat the process on my own after the session.
Acceptance criteria
By the end of the session I can:
1. See live traces from my production instance inside Langfuse.
2. Filter and export performance, error, and user-interaction data.
3. Configure at least one alert tied to a metric we define together.
We can meet on Zoom, Google Meet, or your preferred screen-share platform. I’m flexible on timing but would like to complete this within the next few days.