cnw-stats-analyzer

To analyze CNW telemetry data, you can query the commandStats collection and CNW events directly from MongoDB to aggregate metrics, identify common errors, and track usage trends across prod and staging environments.

Yes, you can compare error rates and usage trends between prod and staging environments by querying MongoDB telemetry data to generate baseline reports, detect anomalies, and evaluate version distributions for operational decisions.

From CNW commandStats collections, you can generate telemetry metrics including completions, init invocations, cloud adoption rates, and version distributions to support operational decision making and track performance over time.

You can track anomalies by comparing baseline and target metrics over time from CNW telemetry data, allowing you to detect usage trends, monitor error rates, and identify performance issues across environments.

No specific dependencies or components are required to use this telemetry analyzer. It operates independently to query MongoDB and expose structured metrics for CNW telemetry analysis without additional setup.

Categorizing common errors during CNW telemetry analysis enables clear identification of actionable insights, helping stakeholders pinpoint performance issues and prioritize fixes based on structured error rate data.