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Publishing Metrics in a AI Service: A Practical Guide
A detailed technical guide for implementing production-level metrics publishing using OpenTelemetry, Prometheus, and Grafana, with emphasis on security and proper configuration. The article covers eve
rything from initial setup to visualization, including code examples and deployment configurations for monitoring embedding services.

Reasons to Read -- Learn:

  • how to implement a complete production-ready metrics system using OpenTelemetry, with step-by-step code examples and Kubernetes configurations for secure deployment
  • practical techniques for monitoring embedding services through four key metrics: success rate, failure rate, latency, and data size, with concrete implementation examples using Prometheus and Grafana
  • how to secure metrics endpoints using CA certificates and PEM keys, including specific OpenSSL commands and Kubernetes secrets configuration for production deployment
  • publisher: @KaanKarakaskk
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