Collecting High-Velocity Telemetry Without Custom Pipelines
Session Date: Jun 16, 2026
Time: 8:00am (PT) | 3:00pm (GMT) | 4:00pm (BST)
Collecting high-velocity telemetry reliably shouldn’t require custom pipelines and endless maintenance.
In this session, we’ll break down the InfluxDB data collection stack—including Telegraf, the open-source agent with 400+ plugins for collecting metrics from databases, servers, containers, IoT devices, and cloud services without writing code. We’ll also demo the InfluxDB 3 Processing Engine, which runs Python transformations directly inside the database for real-time data enrichment and analysis.
What we’ll cover:
- Four data collection paths for InfluxDB: Telegraf, client libraries (Python, Go, JavaScript), the processing engine, and native ecosystem integrations
- Telegraf architecture, core features, and plugin ecosystem deep dive
- Extending Telegraf with ExecD and Starlark for custom metric processing in any language
- Live Telegraf demo: downloading, configuring, and running collection pipeline from scratch
- InfluxDB 3 Processing Engine demo: data write triggers, scheduled jobs, and HTTP triggers in action
Charles Mahler
Technical Marketing Writer, InfluxData
Charles Mahler is a Technical Marketing Writer at InfluxData, where he creates content to help educate users on the InfluxData and time series data ecosystem. Charles' background includes working in digital marketing and full-stack software development.
