Tracing, logging, metrics, and evaluation for APIs, AI gateways, and AI agents.
View All TagsHow to trace AI agents end to end: what to log, how to connect agent, LLM and tool-call spans, and which metrics predict agent reliability.
How to monitor MCP servers: the metrics that matter (tool latency, error rates, usage patterns), logging and tracing with OpenTelemetry, and what not to log.
Learn what an MCP gateway is, how it works, and why it's essential for securing AI agents and MCP servers at enterprise scale: features, benefits, and architecture.
What AI gateway observability is, the key metrics to track (tokens, cost, latency, errors), and how logging, tracing, and OpenTelemetry fit in.