How to Build a Plugin for InfluxDB 3 Processing Engine
Session Date: Mar 26, 2026
Time: 8:00am (PT) | 3:00pm (GMT)
The InfluxDB 3 Processing Engine enables users to execute Python code inside the database to transform, enrich, and act on time series data, eliminating the need to move data to external systems for processing.
In this training, you’ll learn how to build, deploy, and manage a Python plugin that runs directly within InfluxDB 3 Enterprise. We will demonstrate how to set up real-time data pipelines, configure trigger-based execution, and interact with external over HTTP. Whether you’re looking to clean and reshape incoming data, schedule custom jobs, or trigger webhooks in response to changing metrics, the embedded Python Processing Engine gives you the flexibility to do it from within the database.
What You’ll Learn:
- Overview of the Processing Engine: Understand the architecture and execution model of the embedded Python VM. Learn how the processing engine fits into the InfluxDB 3 architecture.
- Plugin Development with Python: Write a Python plugin to handle data transformation and alerting based on custom logic.
- Working with Triggers: Learn to create and set triggers based on real time data transformation or running custom jobs at set intervals or triggered via HTTP requests.
- Common Use Cases and how to:
- Automate data downsampling.
- Trigger external webhooks or notifications.
- Perform inline anomaly detection.
- Enrich time series data with external APIs.
- Discover and use ready-made plugins: Using UI explorer, we will look at the plugin library and learn how to use certified and published plugins.
