Intro to the InfluxDB 3 Processing Engine
Session Date: Jul 30, 2026
Time: 8:00am (PT) | 3:00pm (GMT) | 4:00pm (BST)
Custom data pipelines are expensive to build, brittle to maintain, and slow to deliver insights. The InfluxDB 3 Processing Engine eliminates that overhead by running Python directly inside the database so you can transform, enrich, and act on time series data where it lives, without routing it through external systems.
In this training, you’ll learn how to build, deploy, and manage a Python plugin that runs directly within InfluxDB 3. We will demonstrate how to set up real-time data pipelines, configure trigger-based execution, and interact with external systems 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: Create and configure triggers based on real-time data changes, scheduled intervals, or incoming 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: Explore the plugin library via the InfluxDB 3 Explorer UI and learn how to deploy certified and community-published plugins.
