Configure an OpenTelemetry collector to route OTLP traces with PII redaction and batching.
npx skills add https://github.com/edupazogle/agentic_cockpit --skill otel-edupazogle
Please help me install this Agent Skill. Skill: otel Source: https://github.com/edupazogle/agentic_cockpit/tree/main/.agents/skills/otel Command: npx skills add https://github.com/edupazogle/agentic_cockpit --skill otel-edupazogle
This Skill helps you configure an OpenTelemetry collector to reliably route traces to your backends while preventing sensitive data from being exported and avoiding common OTLP wiring issues.
Apply the otel collector PII redaction and Langfuse OTLP export pipeline, then verify by sending a test span to the collector and confirming it appears in Langfuse.
High-intent search queries and answers about installing and using this skill.
Configure an OpenTelemetry collector with ordered processors using OTTL to redact known PII keys and scrub sensitive patterns like emails and IBANs. This ensures exporters never receive raw sensitive values from your OTLP traces.
To send OTLP traces to Langfuse, configure an OTLP receiver on ports 4318 or 4317, route traces through memory limiting and batch processors, and set up an authenticated OTLP/HTTP exporter targeting your Langfuse endpoint.
Missing OTLP traces in Langfuse often result from incorrect OTLP wiring. Verify the collector is alive, confirm a test span is accepted by the receiver, and check that your authenticated OTLP/HTTP exporter and batch flushing processors are correctly ordered.
Yes, you can configure a dual export pipeline in your OpenTelemetry collector to route OTLP traces through processors into multiple OTLP/HTTP exporters, allowing you to send data to Langfuse today and Dynatrace later.
OTTL can scrub sensitive patterns from OpenTelemetry spans including emails, IBANs, DNI/NIE, and plate numbers. This regex scrubbing occurs after attribute redaction and before batch flushing to sanitize trace data prior to export.
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