Processing engine FAQ for Amazon Timestream for InfluxDB 3

Questions about extending Amazon Timestream for InfluxDB 3 with the built-in processing engine and Python plugins. For the complete guide, see Extend Timestream for InfluxDB with processing engine plugins.

What is the processing engine?

The processing engine lets you run custom Python plugins directly inside your InfluxDB 3 cluster. Plugins can respond to data writes, run on a schedule, or be triggered by HTTP requests. This enables real-time data transformation, alerting, and automation without external infrastructure. For getting started with plugins, see the InfluxDB 3 Enterprise processing engine documentation.

What types of plugins are supported?

InfluxDB 3 supports three plugin trigger types: write triggers (execute when data is written), schedule triggers (execute on a cron-like schedule), and request triggers (execute in response to HTTP requests). InfluxData also provides certified plugins for common use cases such as downsampling, anomaly detection, and forecasting. For the full plugin catalog, see the InfluxDB 3 plugin library.