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Software Engineering

Cloud Architecture Without Cloud Dogma

Evaluate public cloud, private cloud, hybrid, multi-cloud, colocation, and on-premise patterns based on workload, security, network, and cost requirements.

Evaluate Your Cloud Architecture View Related Context

Engineering Topology

Application change with controlled dependencies

Choose cloud and hybrid architectures by requirement rather than trend, sales pressure, or default platform assumptions.

Public cloud
Private or colocation
Hybrid model

Build Surface

Where implementation risk concentrates

Choose cloud and hybrid architectures by requirement rather than trend, sales pressure, or default platform assumptions.

Build Surface Where implementation risk concentrates
  1. 01 Public cloud Elastic managed services and global reach
  2. 02 Private cloud Control, latency, compliance, existing assets
  3. 03 Hybrid Workloads split by requirement
  4. 04 Multi-cloud Provider separation for defined need
  5. 05 Colocation Elastic managed services and global reach
  6. 06 On-premise Control, latency, compliance, existing assets

Engineering Matrix

How design choices become maintainable code

How design choices become maintainable code
Architecture ElementWhat HRHK EvaluatesPublication Value
Public cloudElastic managed services and global reachIdentity, cost, network egress
Private or colocationControl, latency, compliance, existing assetsLifecycle and capacity planning
Hybrid modelWorkloads split by requirementConnectivity, security boundaries
Multi-cloudProvider separation for defined needComplexity and operational maturity

Evaluate Your Cloud Architecture

Start with the application behavior, integration boundary, or deployment constraint. HRHK can map the code, data, platform, and operational dependencies before changing production systems.

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