In some instances, our standard collectors and agents cannot be used. In these cases, we use the following methods for collecting and sending metrics to the platform:
- Post time-series data points - Anodot provides a RESTful POST method for sending metrics
- REST API Integration - Using Metrics 2.0
- Anodot 1.0 Protocol
- StatsD
- CollectD
- Graphite Relay
- Coda-Hale
As your metric data is received by Anodot, the following computations and analyses are made:
- Aggregation of raw data into all time scales.
See Time Range and Time Scale - Learning of normal metric behavior.
- Determination of anomalies based on learned normal behavior.
- Independent computation of anomalies for each time scale.
Metric Naming Conventions
There are two metric naming conventions. Before defining property names for your metrics, see
Metric 1.0 Format – Legacy (Graphite)
