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FixMyError.net
Logging 18 errors

Logging Pipeline Errors

Log4j, Logback, Fluentd, Logstash and CloudWatch ingestion problems.

Understanding Logging errors

Logging failures are dangerous because they are silent: the application keeps running while its telemetry disappears. The recurring causes are buffer overflow under backpressure (the destination cannot keep up), permissions on log files or directories, and ingestion rate limits at the cloud provider. Monitoring the logging pipeline itself is the only reliable way to notice.

How to debug Logging errors

  1. Check the collector's own logs first: Fluentd, Logstash and the CloudWatch agent all log their own failures, usually to a separate destination.
  2. Look for backpressure metrics: buffer queue length, retry counts, and dropped-record counters. A full buffer means the destination, not the collector, is the bottleneck.
  3. Verify write permissions and disk space on the buffer path. A full disk silently stops most collectors.
  4. For cloud ingestion, check the API rate limit for the log group or stream and batch more aggressively rather than retrying harder.
  5. Add a heartbeat log line and alert on its absence. This is the only way to detect a pipeline that has stopped without erroring.

Tools worth reaching for

  • collector self-logs
  • buffer/queue metrics
  • df -h
  • aws logs describe-log-streams
  • logger / fluent-cat for test events

All 18 Logging errors

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