About Kapacitor
Kapacitor is a framework for processing and monitoring time-series data. It can be used to create alerts, run extract-transform-load jobs (ETL jobs), and detect anomalies in time-series measurements. These functions allow data-processing rules to serve both operational monitoring and recurring transformations of collected data. In a monitoring workflow, Kapacitor can evaluate incoming or stored measurements against configured logic and raise alerts when conditions are met. ETL jobs let users define processing steps for data, while anomaly detection can help surface patterns that differ from expected behavior. The product is described as an open-source framework; the available information does not specify its rule syntax, data sources, alert destinations, or anomaly-detection methods.
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