Log To Metrics

“Log To Metric” is a feature of InsightFinder which helps you use raw logs and extract meaningful metrics out of it which can then be used to do anomalies detection, root cause analysis and incident prediction. Lets understand how it works. You need to have a log project to stream in raw log data. You […]

Web Hook

Metric Anomaly [ { “projectName”: “TD_metric”, “userName”: “demoUser”, “instanceName”: “core server”, “startTimeDate”: “2021-06-08T09:00”, “endTimeDate”: “2021-06-08T09:04”, “patternId”: 880, “eventType”: “Metric”, “content”: “system.io.w_s (41.24) is 220.05% higher than normal” } ] Log Anomalies [ { “count”: 1, “projectName”: “TD_infrastructure_core”, “userName”: “demoUser”, “instanceName”: “core server”, “startTimeDate”: “2021-06-08T00:00”, “endTimeDate”: “2021-06-08T00:00”, “patternId”: 20863, “patternName”: “20863”, “eventType”: “Rare”, “content”: “[249.148.28.81]\ncom.insightfinder.models.payload.log.LogUpdateCalendarInfoPayload runTask\nINFO: […]

Live Streaming

Data interface to support the ingestion of live streaming log, alert, incident, Change Event data

File Replay

Data interface to support the ingestion of historical log, alert, incident, Change Event data