Anodot uses machine learning to understand normal patterns within time series data,detect anomalies and continuously forecast future values.

  • Finding trends in data and deriving forecasts
  • Identifying incident root causes by correlating anomalies
  • Filtering false positives and "alert storms"

 The product collects data from monitoring systems like Prometheus and CloudWatch as well as from sources such as databases, S3, file uploads and data streams.

Alerts can be sent to systems like Pagerduty, Slack and JIRA