JSON logs
JSON is an open-standard file format that transmits data objects made up of attribute-value pairs in human-readable format. It's widely adopted for its structured data format and because it's easy to parse. JSON is also compact and simple to implement in most logging frameworks. Site24x7 helps parse your single and multiline JSON logs, so you can pinpoint critical events quickly and take remedial action. Learn more about log management with Site24x7.
Getting started
- Log in to your Site24x7 account.
- Download and install the Site24x7 Server Monitoring agent (Windows | Linux).
- Go to Admin > AppLogs > Log Profile and Add Log Profile.
Single line JSON
Sample log
{"machineTimeUTC":"2019-01-01T09:27:11.620Z","id":"661dc0ae-404b-4f0d-9579-ceca6e20f22c","callCenterName":"DEV-Station","name":"A","value":100,"stack":"dev","machineTime":"2019-01-01T11:27:11.620+02:00"}
Log pattern
This is the default pattern identified by Site24x7 for parsing the sample JSON logs shown above. The log pattern should start with the keyword "json" and should contain a minimum of one date field.
The sample log given above can be separated into seven fields, each of which will take its respective value from here and will then be uploaded to Site24x7.
| Field name | Field value |
| Machine time UTC | 2019-01-01T09:27:11.620Z |
| ID | 661dc0ae-404b-4f0d-9579-ceca6e20f22c |
| Call CenterName | DEV-Station |
| Name | A |
| Value | 100 |
| Stack | dev |
| Machine time | 2019-01-01T11:27:11.620+02:00 |
Multiline JSON
Sample log
{
"_index": "keepalive-2019-01-01",
"_type": "logs",
"_id": "49590436630844818814950698841516754273392947672976982018.0",
"_score": 1.5,
"_source": {
"logType": "Keepalive",
"machineData": {
"name": "A",
"callCenterName": "DEV-Station",
"machineTimeUTC": "2019-01-01T09:27:11.620Z",
"id": "661dc0ae-404b-4f0d-9579-ceca6e20f22c",
"stack": "dev",
"machineTime": "2019-01-01T11:27:11.620+02:00"
}
},
"fields": {
"nameid": [
"DEV-Station = B"
],
"machineData.machineTimeUTC": [
1546334831620
],
"machineData.machineTime": [
1546334831620
],
"name-id": [
"DEV-Station - B"
]
}
}
Log pattern
As per the sample log given above, if you wish to collect the JSON object content "machineData," use the log pattern below:
If you wish to collect a few other data objects such as _score and _source.logType, use the log pattern below: