CNCF-hosted Co-located Events Europe 2025

Time series data is exploding across industries - from IoT sensors and financial markets to application monitoring and user behavior analytics. As organizations grapple with processing these massive datasets, many overlook a powerful solution hiding in plain sight: Argo Workflows. This talk demonstrates how Argo Workflows transforms time series analysis from a resource-intensive challenge into a streamlined, scalable process in Kubernetes environments.

We'll dive deep into real-world architectures that leverage Argo Workflows' DAG-based execution model for efficient time series processing. You'll learn practical patterns for data partitioning, parallel processing, and resource optimization that we've battle-tested with petabyte-scale datasets. Through live demos and code examples, we'll explore how to build resilient pipelines that can handle everything from real-time sensor data to historical trend analysis.