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
Explore Prometheus in the interactive universe or train with live cohorts.
Want this Prometheus learning path turned into your own plan?
A roadmap shows the destination. In 1:1 mentorship I turn it into a week-by-week learning path for your background, review your projects, and prepare you for interviews until you land the role. Online, in your time zone.
Start with one 60-minute 1:1 call: .
Prefer a structured live course? Join the MLOps · AIOps · LLMOps · Agentic AI masterclass →