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Kiro monitoring

Kiro monitoring

Visibility into Kiro credit usage, messages, and adoption across your org.

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Monitors per-user credit consumption, messages, conversations and per-model usage.
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Overview

Dynatrace AI Observability provides visibility into Kiro Enterprise usage via Kiro's native OpenTelemetry export. An account administrator configures the export once in the Kiro console; Dynatrace then receives daily aggregated metrics on credit consumption, message volume, conversations, and per-model usage for every active user.

Unlike other AI coding agents, Kiro's export is metrics-only and aggregated once per day per user - there are no traces or per-request granularity. This gives platform and engineering leaders an organization-wide view of Kiro adoption and cost without any per-developer setup.

Use cases

Track credit and overage consumption: Monitor daily credits and overage credits per user to understand cost drivers and catch usage spikes before they become budget surprises.

Understand adoption and engagement: See messages, conversations, and new-vs-returning users over time to gauge how teams are adopting Kiro.

Compare usage by model and client: Break down message volume by model and by client type (KIRO_IDE, KIRO_CLI, PLUGIN) to see where and how Kiro is being used.

Support consistent adoption across teams: Apply a shared, org-wide observability approach for Kiro usage - centralized visibility helps platform leads compare usage patterns and maintain governance as adoption grows.

Get started

Follow the description outline here to enable and configure Kiro monitoring.

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