Learn how Palo Alto Networks used Dataflow, Pub/Sub, and BigQuery to build a scalable multi-tenant Unified Data Platform, achieving 30% compute cost savings.

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Palo Alto Networks migrated from 30,000 individual single-tenant data pipelines to a unified multi-tenant platform using Google Cloud Dataflow, Pub/Sub, and BigQuery. The transformation consolidated thousands of pipelines processing 30 GB/s into a shared resource pool, achieving 30% compute cost savings through autoscaling and better resource utilization. The new architecture reduced deployment cycles from weeks to one day, eliminated manual capacity planning, and freed engineers to focus on analytics instead of infrastructure management. The platform now processes billions of security events daily across firewall logs, telemetry signals, and threat events.

Palo Alto Networks builds a multi tenant Unified Data Platform

The challenge: A single tenant architecture could not keep pace

The transformation: Embracing a new architectural paradigm with Dataflow