Case Study: Pivotal achieves 40% cloud infrastructure cost savings and faster R&D with Google Cloud Platform

Pivotal Using Google Cloud to accelerate R&D for its cloud-native platform

Pivotal, the company behind Pivotal Cloud Foundry that helps enterprises build and run cloud‑native apps, faced rapidly rising cloud costs and needed a lower‑cost, more flexible platform for its own development, testing, and R&D. To reduce expenses and improve scalability and performance, Pivotal decided to migrate its internal environments to Google Cloud Platform.

Pivotal moved its CI pipelines and large‑scale testing onto Google Compute Engine, used sustained‑use and preemptible VMs, and worked with Google to provide a Cloud Foundry service broker for data and ML services. The result: overall cloud infrastructure costs fell about 40% (up to 30% savings for month‑long VMs and up to 80% for preemptible workloads), VM provisioning dropped from minutes to seconds, engineer productivity improved, and customers gained easy access to GCP services like BigQuery, Spanner, Pub/Sub, Vision, and Speech.

Pivotal

Mike Dalessio

Vice President, Engineering