Cloud & Hybrid Infrastructure

The question is not whether to use cloud. It is which workloads belong where, and why.

Principally

Cloud and hybrid architecture
Workload placement and dependency analysis
Migration strategy and sequencing

Consider this engagement when

A migration has stalled part-way and the workload now runs in two places.
Cloud consumption is growing without a matching change in capability.
Recovery objectives are documented but have never been demonstrated.

Placement follows dependency. The chains crossing tiers are what makes a migration expensive, not the workloads themselves.

Why this work matters

Hybrid is the steady state for most enterprises of any age, and it is harder to run well than either extreme. Placement decisions are driven by data gravity, latency, regulatory constraint, dependency chains and the real cost of operating a workload, not by a preferred platform.

We design against those constraints, sequence the migration in tranches that can be reversed, and make disaster recovery an architectural property rather than a document nobody has exercised.

Typical outputs

Workload placement model with rationale
Target infrastructure architecture
Migration plan by tranche, with rollback positions
Recovery objectives mapped to tested design

Capabilities

Cloud and hybrid architecture
Workload placement and dependency analysis
Migration strategy and sequencing
Cloud connectivity and interconnect
Infrastructure optimisation and cost architecture
Disaster recovery and business continuity design
Multi-cloud considerations and exit planning

06Technology TransformationIndependent architectural oversight through the programmes that are too consequential to run unsupervised.

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