A Dashboard is a central repository for accessing and reviewing groups of metrics. One-click charts can be displayed as lines, columns, area and spline, with stacking options. Every chart enables drill-down into the data for further investigation. Charts can be grouped together into dashboards for easy viewing and handling, giving you quick-access bookmarks for often-viewed metrics. Read More

Using patented machine learning algorithms, Anodot crunches your time series data to determine its normal range. From then on, it flags any and all anomalies, assigning them a significance score, an automatic assessment of how important an anomaly is based on how “off” the data is, and for how long a period of time. Read More

Anomalies, no data, or deviations from a static value alerts are delivered directly to your favorite application with extensive built-in alerting tools. Alerts are automatically grouped so that when there are multiple related anomalies, a single unified alert allows you to investigate the phenomenon at once. Alert notifications can be sent via email or webhook (e.g. Slack). Read More

To fulfil your alert requirements, fine tune Anomaly and Static type alerts based by adjusting the estimate alert rate, significance, the delta between the peak value of a metric during an anomaly from the normal behavior and duration. Read More

Whatever type of time series data you have, Anodot can analyze it and determine its anomalies in real time. With simple integrations to standard metrics solutions such as Graphite, StatsD, Coda Hale Metrics and collectd, it’s easy to get started. While Anodot recommends working with a structured name schema, it continues to support legacy formats. Read More

Anodot continuously checks operational system health indicators. Read More