#observability

2 resources and 4 guides tagged #observability on ChangeGamer.

Agent Observability and Tracing · Guide
Why agents need observability beyond app logs, how OpenTelemetry GenAI semantic conventions model agent runs as traces, key signals to capture, and a verified tooling landscape.
Shipping AI Agents to Production: A Production-Readiness Checklist · Guide
End-to-end checklist for productionizing an AI agent — evaluation gates, observability, guardrails, cost controls, resilience, durability, HITL approvals, secrets, rollback, and incident response.

Guides

Measuring AI Agent Traffic: Server-Side Telemetry That Answers Real Questions · guide
Why client-side analytics miss AI agents entirely, the minimum row schema to log, the five queries worth running, and how to tell a real crawler from a spoofed user agent.
MCP Server in Production: How to Build, Ship and Run One · pillar guide
The operator playbook for taking an MCP server past the quickstart: transport choice, OAuth 2.1 auth, tool design, versioning against a moving spec, testing across clients, distribution, observability, cost and the failure modes that show up once real clients connect.
MCP Server Observability with OpenTelemetry: Spans, Metrics, and Trace Correlation · guide
Instrumenting an MCP server past the pillar's baseline: what to put on a tool-call span beyond gen_ai.tool.name, what replaces the deprecated Logging primitive in practice, per-tool-name latency and error-rate metrics, and how a trace ID actually survives the agent-to-upstream-API hop.
MCP Server Cost Optimization: Toolset Size, Caching Hints, and Fan-Out · guide
How the token cost of an MCP server's tool list, the 2026-07-28 spec's ttlMs/cacheScope caching hints, fan-out from callers you do not control, and per-tool-name cost visibility each shape what a production MCP server actually costs to run.