Manage status messages in CouchDB with MapReduce

On the Couch

Whether the Internet of Things (IoT) or a server landscape, microservices or cron jobs, applications produce all kinds of status messages that you need to collect and evaluate. Whether it's an alert from the robot lawnmower, the abrupt termination of a long-running task, or simply a weather warning, storing the various messages centrally and evaluating them independent of their structure is always going to be a challenge (Listing 1).

Listing 1

Example Status Messages

{ "timestamp":"202405141201",
  "source": "gardenrobot-1",
  "message": { "type":"alert",
               "value":"animal" }
}
{ "timestamp":"202405141220",
  "source": "gardenrobot-1",
  "message": { "type":"warning",
               "value":"low power" }
}
{ "timestamp":"202405150200",
  "source": "server"
  "message": { "type":"task done",
               "value":"night backup",
               "result":"done",
               "errors":[] }
}
{ "timestamp":"202405160800",
  "source":"18739949083333",
  "rss":"weatherchannel",
  "region":"Berlin",
  "message": { "type":"warning",
               "value":"rain",
               "category":"heavy",
               "chance":"80%" }
}

CouchDB can help with centralized acquisition and subsequent filtering of status messages (e.g., by number, hour, or source). Its main

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