Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized l

While publishing directly to the Cloud Monitoring API is possible, it requires more custom code and manual effort to format and send metrics compared to using standardized libraries like OpenTelemetry.

Cloud Pub/Sub is a messaging service, not primarily designed for direct metrics collection and aggregation; pushing metrics there would require additional processing and integration with another service to store and visualize them.

OpenTelemetry provides a vendor-neutral standard for instrumenting applications to generate telemetry data (metrics, traces, logs). By installing OpenTelemetry client libraries in the application and configuring Cloud Monitoring (Stackdriver) as the exporter, metrics are automatically collected and sent to a centralized GCP service with minimal custom integration code, fulfilling the requirement for centralized aggregation and ease of setup.

Emitting metrics as log messages is inefficient and less structured than dedicated metrics collection, requiring complex log parsing and potentially higher costs and latency for aggregation and visualization compared to native metrics services.