Solution Review workshop
LLM Observability & Cost Control
Know what your GenAI system is doing in production and what it costs.
- 1 day
- Hands-on in AI Governance Platform
- On your own system
The problem
Without traces, quality metrics, and cost tracking, GenAI issues surface as user complaints and surprise invoices. This workshop designs the monitoring your system needs.
Who it's for
Platform, SRE, and ML engineering teams operating LLM applications.
What to bring
Current logging setup and last month’s model usage or bill.
The course side
What your team learns
- 1
What to capture
Prompts, retrievals, tool calls, latency, tokens, and user feedback, with PII handling.
- 2
Quality in production
Online eval signals, drift detection, and sampling for review.
- 3
Cost controls
Per-feature cost attribution, caching, routing, and budgets.
- 4
Alerting
Alerts worth waking up for, and runbooks for each.
Builds on these course lectures
- Navigating the LLMops landscape: What you need to know - Tools
- LLMSecOps
The platform side
What your team builds in AI Governance Platform
- Register monitoring signals as controls on each AI system
- Link alerts and runbooks to the risks they mitigate
- Set up cost and quality evidence for periodic review
Also used: Tracing and LLMOps tooling, Prometheus / Grafana patterns
About AI Governance Platform →Your team leaves with
- • A monitoring and alerting spec
- • A cost attribution model with savings opportunities
Book this workshop
Request LLM Observability & Cost Control
It's pre-selected in the form. Add others to combine them. Contact us for pricing: fill in your details and we'll reply within one business day.
Often combined with
- GenAI Production Readiness Review · 2 days
- AI Agent Architecture Review · 1 day