Open Source Summit North America 2025

Organizations face a critical challenge: data is growing exponentially across distributed locations, but traditional centralized processing approaches are becoming unsustainable. With the majority of enterprise data going unused, companies struggle with massive transfer costs, compliance issues, and network reliability problems when moving data to centralized infrastructure.

This talk introduces a paradigm shift: bringing compute to where data lives. Using the open-source Bacalhau project, we'll demonstrate how to:

- Deploy distributed processing jobs across clouds, edge devices, and on-premises infrastructure
- Reduce data movement costs while maintaining centralized control
- Ensure compliance by processing sensitive data in place
- Enable real-time analytics at the edge

Through real-world examples, including an energy company managing 15,000 microgrids and cities processing camera feeds, attendees will learn practical patterns for modernizing their data infrastructure. We'll explore architectural patterns, security considerations, and best practices for implementing compute-over-data architectures.