Cloud Infrastructure Resource Center
Practical guidance for comparing public cloud, private infrastructure, colocation, and hybrid workload placement.
Explore Cloud Placement and OptimizationDirect answer
Cloud optimization starts with workload economics and operating requirements, not a predetermined platform. The right placement depends on utilization, data transfer, performance, resilience, compliance, staffing, scalability, and the cost of changing course.
Interactive planning tool
Build a preliminary range across rightsizing, commitments, storage, and data transfer. No billing export required.
Which workloads benefit from elastic consumption?
Where do data transfer and cross-zone charges occur?
Which applications need dedicated performance or control?
What connectivity and operating model will support a hybrid design?
Cloud Strategy
Compare public cloud, colocation, and hybrid infrastructure costs across compute, data transfer, staffing, connectivity, capacity, and contract risk.
Read the guideCloud Optimization
Learn how AWS, Azure, and Google Cloud data transfer pricing affects workload economics, and how to audit egress before changing architecture.
Read the guideInfrastructure Strategy
Plan AI infrastructure across data center capacity, power, network connectivity, workload placement, resilience, and cost before deployment.
Read the guideNo. Economics depend on workload shape, utilization, services consumed, data movement, staffing, hardware, connectivity, and contract structure.
Workload placement is the process of matching each application to the environment best suited to its cost, performance, security, compliance, scalability, and operating requirements.
No. CorePath provides independent infrastructure advisory and sourcing. The firm does not position itself as an MSP or cloud operator.
Start with your requirements, current environment, commercial terms, and decision timeline.