How Palo Alto Networks built a multi tenant scalable Unified Data Platform

Enterprises across the world are processing significant amounts of data. Palo Alto Networks processes thousands of firewall logs, telemetry signals and threat events every second across its product portfolio. To support this scale, Palo Alto Networks had 30,000 individual data pipelines, each with its own operational load. And while this single tenant architecture model worked originally, it  had recently started to slow innovation, limit further scale, and made onboarding new analytics use cases increasingly costly.

To support the next generation of security products, Palo Alto Networks partnered with Google Cloud to modernize their data processing landscape into a unified multi-tenant platform powered by Dataflow, Pub/Sub and BigQuery. This transformation became the foundation of Palo Alto Network's Unified Data Platform (UDP), which now processes billions of events every day with improved agility, simpler operations and meaningful cost efficiency.

The challenge: A single tenant architecture could not keep pace ...