What Is Hybrid Infrastructure?
Hybrid infrastructure combines on-premises data center infrastructure (or colocation) with public cloud services from providers like AWS, Microsoft Azure, and Google Cloud. The two environments are connected through dedicated network links (AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect) that provide private, low-latency connectivity between on-premises and cloud resources.
The defining characteristic of hybrid infrastructure is that workloads can move between environments, or span environments, based on requirements. A database that processes regulated data runs on-premises; the analytics platform that queries it runs in cloud. A production application runs on-premises; the development and test environment runs in cloud.
Multi-cloud vs. hybrid
Workload Placement Decisions
On-Premises (Required)
Regulated data with strict data residency requirements (HIPAA, ITAR, FedRAMP)
Latency-sensitive applications requiring sub-5ms response times
High-bandwidth workloads where cloud egress costs are prohibitive
AI training on proprietary data at scale
Applications with predictable, steady-state demand (lower 5-year TCO)
Cloud (Preferred)
Variable workloads with unpredictable demand peaks
Development and test environments
Burst capacity for seasonal or event-driven peaks
SaaS applications with cloud-native architecture
Disaster recovery targets and backup storage
Either (Evaluate by TCO)
General enterprise applications without strict compliance requirements
Collaboration and productivity tools
Analytics and reporting workloads
New applications without established infrastructure requirements
Connectivity Requirements
The connectivity between on-premises and cloud is as important as the infrastructure on each side. Public internet connectivity is inadequate for production hybrid workloads: latency is unpredictable, bandwidth is shared, and security is limited. Dedicated private connectivity (AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect) provides consistent latency, dedicated bandwidth, and private network paths that do not traverse the public internet.
Size connectivity for peak, not average
The Cloud Cost Model
Cloud costs are consumption-based, you pay for what you use. This is advantageous for variable workloads but expensive for steady-state workloads. The most common cloud cost mistake is running steady-state production workloads in cloud without Reserved Instance or Savings Plan commitments, which can reduce costs by 30–60% compared to on-demand pricing.
Egress costs, charges for data leaving the cloud, are the most commonly underestimated cloud cost. Organizations that process large volumes of data in cloud and then transfer it to on-premises systems or other cloud providers consistently encounter egress costs that were not included in the initial cost model.
Hybrid Governance
Hybrid infrastructure requires governance that spans both environments: consistent security policies, unified identity management, and cost visibility across on-premises and cloud. Organizations that manage on-premises and cloud as separate silos consistently encounter security gaps at the boundary between environments and cloud costs that exceed budgets.