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Monitoring 12 errors

Monitoring & Observability Errors

Prometheus scrapes, Grafana data sources, OpenTelemetry exporters and agent failures.

Understanding Monitoring errors

Monitoring failures create a dangerous blind spot: dashboards go flat and the natural assumption is that traffic stopped. The usual causes are scrape targets unreachable (network policy, wrong port, or a service with no endpoints), exporter queues full (the backend is rejecting or throttling), and cardinality explosions that cause the time-series database to reject writes. Always alert on the absence of data, not only on bad values.

How to debug Monitoring errors

  1. Check the scrape target's status page (/targets in Prometheus). It shows the last scrape error verbatim.
  2. Curl the metrics endpoint from inside the cluster or network segment the scraper runs in: reachability from your laptop proves nothing.
  3. For OpenTelemetry, enable the collector's own telemetry and watch otelcol_exporter_queue_size and otelcol_exporter_send_failed_spans.
  4. Investigate cardinality before increasing memory: a label containing a user ID, request ID or URL path with IDs in it will exhaust any TSDB.
  5. Write a dead-man's-switch alert that fires when a known-always-firing metric stops arriving. It is the only alert that catches a broken pipeline.

Tools worth reaching for

  • Prometheus /targets
  • promtool check config
  • otelcol internal metrics
  • curl <exporter>/metrics
  • Grafana Explore

All 12 Monitoring errors

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