server-log-health-check

Checking server health from logs involves parsing active log files to count defined patterns and report pipeline stage status. This process surfaces packet reception, lookups, and publishing results to verify deployment success.

Monitoring LoRa and MQTT pipeline logs requires parsing active log files across these stages to summarize operational state transitions, packet reception counts, and publishing successes or failures.

Summarizing operational state transitions in server logs requires parsing active log files to detect ACTIVE and IDLE states. This monitoring process surfaces the last state change and reports the overall time range covered by the logs.

Categorizing server errors from LoRa, API, and MQTT logs requires parsing the log data to report the most recent errors. This diagnostic process groups the errors into specific pipeline stages to guide triage.

Server log health checking can work without external dependencies. It functions by directly parsing active logs and backups to produce counts, state transitions, and error summaries for operational monitoring.

MQTT publishing successes and failures may be missing from the health report if the active logs lack the defined patterns needed for the diagnostic tool to count them. The parser requires specific log data across the pipeline stages.