Distributed Data for the Open Hybrid Cloud
Expanso brings distributed data processing and edge computing to Red Hat's open hybrid cloud ecosystem - from data center to factory floor
A Shared Vision
Data is generated everywhere - from factory floors and 5G networks to remote sensors and autonomous vehicles. Traditional centralized architectures can't handle the latency, bandwidth, and cost constraints. Together, Expanso and Red Hat solve this.
OpenShift Orchestration
Leverage Red Hat OpenShift to orchestrate containerized Expanso workloads anywhere - cloud, on-premises, or at the edge. One control plane for all your distributed data.
Data Governance at Scale
Implement robust policy enforcement and data sovereignty controls across hybrid environments. Maintain compliance even in disconnected or air-gapped deployments.
Edge AI at Scale
Run ML workloads directly where data is created. Reduce time-to-insight and minimize costly cloud data transfer with Edge AI powered by Expanso on RHEL.
How It Works Together
Deploy on OpenShift
Expanso runs as a native OpenShift workload. Use Operators, Helm charts, or GitOps to deploy across your hybrid infrastructure.
Connect Edge Nodes
Expanso edge nodes on RHEL connect back to the cloud orchestrator. Deploy data pipelines from the cloud to any edge location.
Process Data Locally
Filter, transform, and govern data at the source. Only send what matters to central systems - cut bandwidth costs and improve latency.
Govern Everywhere
Apply consistent data governance policies across all environments. Maintain compliance and sovereignty regardless of where data lives.
Ready for the Hybrid Cloud?
Bring distributed data processing to your Red Hat infrastructure and start governing data where it's created