Prometheus

Metrics collection and alerting for ML and AI systems.

Maturity level: L2 — Can Build

Six perspectives on Prometheus

Roadmap

Learn with or after Kubernetes for production paths.

Architecture

Metrics layer in observability stack for AI systems.

Company

Common in SRE, MLOps, and AIOps postings.

Projects

Add metrics to every deployed service.

Interview

Golden signals and ML-specific monitoring.

Career

Required for MLOps, AIOps, and AI infrastructure.

What & Why

What: Open-source monitoring system with time-series metrics and PromQL.

Why: Observability is non-negotiable for production ML, LLM, and agent systems.

Build this

Monitoring dashboard for ML API with drift and latency alerts.

Production reality

  • ! Cardinality explosion
  • ! Alert fatigue
  • ! Missing golden signals

Interview preparation

  • What metrics matter for ML inference?
  • SLO-based alerting

Connected skills

Kubernetes

Explore Prometheus in the interactive universe or train with live cohorts.

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