Hybrid cloud deployments using Red Hat OpenShift center on achieving consistent operational models across on-premises infrastructure (bare-metal, VMware, OpenStack) and public clouds (AWS, Azure, GCP).

Key real-world hybrid cloud project architectures leverage OpenShift’s ecosystem components:

1. Cross-Cloud Disaster Recovery & Multi-Cluster Networking

Core Problem: Achieving active-passive or active-active failover across on-premises data centers and public clouds without complex edge-routing reconfigurations.

• Architecture: Deploy an on-premises primary OpenShift cluster (UPI/vSphere) paired with a secondary cloud cluster (ROSA on AWS or ARO on Azure).
• Key Components:
  • Submariner: Provides direct, encrypted pod-to-pod network connectivity across distinct Kubernetes networks.
  • Advanced Cluster Management (ACM): Acts as the centralized hub to manage fleet-wide policy compliance, application placement rules, and automated failover.
  • OpenShift Data Foundation (ODF) / Regional-DR: Replicates volume snapshots asynchronously across regions using Rook/Ceph or Portworx to maintain persistent state.
• Implementation Focus: Configuring global DNS routing (AWS Route53 / Cloudflare) to automatically shift application traffic during cluster degradation.

2. Hybrid Application Modernization (VMs + Containers)

Core Problem: Modernizing legacy monolithic applications running in Virtual Machines while building new containerized microservices without maintaining two separate infrastructure stacks.

• Architecture: Run containerized APIs alongside legacy Linux/Windows virtual machines on a single hybrid OpenShift platform.
• Key Components:
  • OpenShift Virtualization (KubeVirt): Runs traditional VMs directly inside Kubernetes pods on bare-metal or AWS metal instances.
  • OVN-Kubernetes: Manages secondary network interfaces (Multus) so VMs can retain existing VLAN IPs while communicating natively with containerized microservices over the OVN overlay.
  • Red Hat Quay & Clair: Acts as the unified internal container registry and image scanner across both environments.
• Implementation Focus: Migrating legacy VMware .vmdk images using the Migration Toolkit for Virtualization (MTV) into OpenShift PersistentVolumeClaims (PVCs).

3. Edge-to-Cloud AI/ML Pipelines

Core Problem: Training heavy machine learning models in a public cloud with high-bandwidth compute resources, while inferencing at the edge or on-premises near raw data sources.

• Architecture: Train models on AWS/GCP GPU clusters, package the model artifacts, and push inference engines to lightweight edge OpenShift Single Node Clusters (SNO) or remote data centers.
• Key Components:
  • OpenShift AI (formerly Red Hat OpenShift Data Science): Orchestrates Jupyter notebooks, model training pipelines, and KServe deployments.
  • Red Hat Advanced Cluster Management (ACM) + Argo CD: Automatically deploys trained model containers from the central registry out to edge clusters using GitOps strategies.
  • Node Feature Discovery (NFD) Operator: Detects local GPU hardware at edge sites to dynamically allocate inferencing pods.
• Implementation Focus: Structuring declarative GitOps pipelines where a Git commit containing a trained model triggers automated canary deployments to edge OpenShift nodes.

4. Hybrid Cloud Security & Compliance Mesh

Core Problem: Enforcing strict zero-trust network policies, secrets management, and centralized security posture across disparate hybrid environments.

• Architecture: Centralized governance hub enforcing security controls on workloads distributed across public cloud providers and private data centers.
• Key Components:
  • Red Hat Advanced Cluster Security (ACS / StackRox): Monitors runtime security, detects CVE vulnerabilities, and enforces network isolation rules across all clusters.
  • HashiCorp Vault + External Secrets Operator (ESO): Centralizes secret storage off-cluster, injecting dynamic, short-lived database credentials into OpenShift pods.
  • Red Hat OpenShift Service Mesh (Istio / Kiali): Enforces strict mutual TLS (mTLS) for all inter-microservice traffic spanning across cluster boundaries.
• Implementation Focus: Creating custom OpenShift ComplianceOperator scans to audit host OS (RHCOS) configurations against CIS Benchmarks across both cloud and on-prem nodes.

Typical Tech Stack Matrix for Hybrid OCP Projects

Layer	Tools & Components
Fleet Management	Red Hat Advanced Cluster Management (ACM), Argo CD / OpenShift GitOps
Networking & Mesh	OVN-Kubernetes, Submariner, OpenShift Service Mesh (Istio)
Storage & DR	OpenShift Data Foundation (ODF), Portworx, Velero
Security & Compliance	Advanced Cluster Security (ACS), Vault, Compliance Operator
Workload Automation	Ansible Automation Platform (AAP), Tekton / OpenShift Pipelines