August 2025#
v1.0.0#
This is the first version of the Time Series Analytics
microservice
Deployments#
Docker compose deployment on single node
Helm deployment on kubernetes single cluster node
Features#
Bring your own Data Sets and corresponding User Defined Functions(UDFs) for custom analytics: Easily implement and deploy your own Python-based analytics logic, following Kapacitor’s UDF standards.
Seamless Integration: Automatically stores processed results back into InfluxDB for unified data management and visualization.
Model Registry Support: Dynamically fetch and deploy UDF scripts, machine learning models, and TICKscripts from the Model Registry microservice, enabling rapid customization and iteration.
Versatile Use Cases: Ideal for anomaly detection, alerting, and advanced time series analytics in industrial, IoT, and enterprise environments.
More details at user-guide