Automate Anomaly Detection for Time Series Data

The Upalgo platform, a SaaS solution for time series data analysis, relies on InfluxDB as its datastore, leveraging its windowing feature and active developer community to handle vast amounts of sensor data. The platform applies machine learning to automate anomaly detection and labeling, iterating on these processes to improve data models. With continuous data ingest and read-intensive learning challenges, the Upalgo platform uses a REST API to consolidate read issues and optimize resource consumption. Anomaly detection requires large amounts of data, and labels are crucial for establishing a baseline truth for the data, which is automatically identified by the platform's anomaly detection feature. The Upalgo platform generates data visualizations using InfluxQL to query data from InfluxDB, accelerating key processes faced by machine learning data scientists.