Posts tagged “observability”

An introduction to evaluating large language model outputs: metric types, key dimensions (correctness, relevancy, hallucination, safety), when to choose model-based vs statistical metrics, and how to start evaluating your LLM system.

A practical guide to making large language model applications reliable and safe in production. Covers key metrics, tracing, quality checks, security signals, and cost control strategies.

An introduction to testing large language model systems: test types (unit, regression, safety, performance), practical workflow, common pitfalls, and how to get started building a test suite you can trust.

Key kubernetes metrics to monitor for reliable, efficient clusters — from resource usage to control plane health and actionable alerts.

Practical guidance for building an internal platform on top of kubernetes. Covers core building blocks, ecosystem tools, observability and security guardrails, and trade-offs to expect when running at scale.