DevOps & Infrastructure
LLM Observability with Prometheus & Grafana: TTFT, TPS & VRAM Telemetry
Monitor production AI service health: Time to First Token (TTFT < 500ms), Tokens Per Second (TPS), and GPU temperature metrics.
The Golden Signals of LLM Serving
1. TTFT (Time to First Token): Measures initial latency before streaming starts. 2. TPS (Tokens Per Second): Measures generation velocity. 3. GPU VRAM & Temperature: Prevents thermal throttling and out-of-memory crashes.
Related Technical Guides
Deepen your understanding with these closely related production architectures and tutorials:
Deploying FastAPI in Production: Multi-Stage Dockerfile, Gunicorn & Uvicorn Workers
Production-ready Docker deployment with multi-stage builds, non-root security, Gunicorn process management, and health checks.
FastAPI & OpenTelemetry: Distributed Tracing, Prometheus Metrics & Grafana
Diagnose millisecond-level bottlenecks across SQL queries, Redis calls, and LLM streaming responses with OpenTelemetry tracing.
Multi-Agent Debugging & Distributed Tracing with LangSmith & Langfuse
Inspect every sub-agent decision, tool execution latency, and token consumption with waterfall call trees and observability platforms.