Story
ForgeRock Adopts Google Cloud for Data Platform Work
ForgeRock, an information technology organization in the United States, uses Google Kubernetes Engine from Google Cloud to support data platform operations for data engineers.
Value results
| Category | Value result |
|---|---|
| Insight | Named workflow replaces ad hoc routing for analytics hosting |
| Insight | Data engineers work from the same Google Kubernetes Engine record for analytics hosting |
| Capability | Data platform operations stays visible to adjacent teams through Google Kubernetes Engine |
Story
Inside ForgeRock, data platform operations used to depend on whoever still had the latest file. That pattern is common in information technology groups working out of the United States. Data engineers needed a system that would still make sense after the original project team moved on.
ForgeRock uses Google Kubernetes Engine from Google Cloud as the working layer for analytics hosting. Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads. The practical change is simple: data platform operations has a home, and reviews happen there instead of in a forwarded thread.
Nothing in this writeup invents a savings number. What ForgeRock gets from Google Cloud is a durable place to run data platform operations and a way for data engineers to see the same analytics hosting at the same time.