Principle:Predibase Lorax Production Observability
| Knowledge Sources | |
|---|---|
| Domains | Observability, Infrastructure |
| Last Updated | 2026-02-08 02:00 GMT |
Overview
A deployment configuration pattern that combines Kubernetes Helm charts with OpenTelemetry distributed tracing to enable production monitoring of inference workloads.
Description
Production Observability solves the challenge of operating GPU inference servers at scale. It combines:
- Helm Charts: Declarative Kubernetes deployment with GPU resource limits, health probes, and service configuration
- OpenTelemetry Tracing: Distributed trace collection via OTLP protocol, enabling request latency analysis across the launcher-router-shard pipeline
- Prometheus Metrics: Standard metrics endpoint for monitoring throughput, latency, and resource utilization
Usage
Use this principle when deploying LoRAX to Kubernetes with production monitoring requirements. The Helm chart provides the deployment template, while OpenTelemetry setup enables distributed tracing through the OTLP exporter.
Theoretical Basis
Production observability follows the three pillars of observability:
- Metrics: Quantitative time-series data (request count, latency, GPU utilization)
- Traces: Per-request distributed traces across services
- Logs: Structured event logging
The Helm chart encapsulates the Kubernetes deployment pattern, while OpenTelemetry provides the tracing instrumentation.
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