What’s New in InfluxDB 3: 5 New Processing Engine Plugins

InfluxDB has introduced five new Processing Engine plugins designed to enhance data handling and forecasting capabilities, each operable with simple terminal commands within your existing InfluxDB setup. These plugins include a SageMaker integration for machine learning model predictions, a value counter for counting unique values in datasets, Chronos forecasting for time series predictions without requiring a training step, a simple data replicator to sync data across different instances, and a stock portfolio tracker that fetches real-time stock data. The Processing Engine allows these plugins to perform tasks such as querying, transforming, and writing data back to InfluxDB or interacting with external services, and supports triggers like scheduled intervals, data writes, and custom HTTP requests. They facilitate various use cases, from anomaly scoring using AWS models to on-demand forecasting, and provide flexibility through configuration files and integration with other plugins for advanced functionalities. The plugins, compatible with InfluxDB 3 Core and Enterprise, offer a streamlined process for implementing advanced data operations without requiring extensive Python knowledge, although customization is possible for those who wish to modify plugin behavior.

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