observability

Define SLOs and SLIs to establish measurable reliability targets and manage error budgets for your production systems. This approach ensures you track system health and maintain desired service reliability standards.

Track AI-specific observability metrics by monitoring token usage, cost, and evaluation scores within your application. This provides insights into AI performance and helps maintain operational efficiency.

The four golden signals of metrics for production monitoring are latency, traffic, errors, and saturation. Tracking these signals helps you understand system performance and quickly diagnose production issues.

Set up structured logging in a Node.js API by instrumenting your application to emit structured events. This allows you to capture detailed, queryable logs for effective production debugging and monitoring.

Observability is needed for modern production systems to effectively monitor system health, diagnose issues, and ensure reliability across distributed services. It provides comprehensive visibility through traces, logs, and metrics.