In this talk, I’ll show how to instrument applications end-to-end with OpenTelemetry, capturing metrics, traces, and logs across the entire request lifecycle. You’ll learn to pinpoint errors, understand why they happen, and fix them faster—guided by real-world examples and a starter template for quick adoption.
You’ll also see how to turn telemetry into automated insights using MCPs (Model Context Protocol) to generate reports from your observability stack—for example, using a Grafana MCP to produce incident summaries, release health reports, and “what changed?” diagnostics with open-source tooling.

Outline

- Why full-stack observability matters: from browser to database
- OpenTelemetry fundamentals: metrics, traces, logs, and context propagation
- JavaScript + Node.js instrumentation: where to add signals (and why)
- Correlation in practice: connecting errors, traces, logs, and user impact
- Detecting anomalies: SLOs, alerting, and actionable dashboards
- Export pipelines: OpenTelemetry Collector and common open-source backends
- AI-assisted ops with MCP: generating reports from Grafana (and other tools)
- A starter template + rollout strategy: incremental adoption without breaking prod