Representative example, not a customer case study
A cloud strategy example for a large organization that already uses multiple providers and needs governance, platform standards, ownership, and migration priorities.
Illustrative company: an 8,000-person group with acquisitions across AWS, Azure, and Google Cloud, duplicated platform teams, inconsistent identity and logging, weak cost allocation, and regulated workloads in several regions.
Possible fit: A credible model if Microsoft identity, enterprise agreements, and the dominant workload estate justify Azure as the default while preserving approved exceptions.
Validate: Workload distribution, skill depth, contract economics, region needs, landing zones, exception governance, and non-Azure operations.
Possible fit: A credible model if AWS hosts the largest strategic estate and provides the strongest internal platform capability.
Validate: Migration economics, identity federation, governance, support, regulated regions, Azure and Google operations, and exit constraints.
Possible fit: A credible model when business units have materially different workload, regional, product, or customer requirements.
Validate: Minimum common controls, ownership, duplicated tooling, platform-team capacity, cost transparency, and architecture decision rights.
Illustrative direction only: define a default platform by workload class, not a universal winner. Build minimum common controls for identity, network, security, logs, data, resilience, cost, and ownership, then migrate or remediate the highest-risk estates in measured waves.
Capabilities, prices, and terms can change. Confirm the current vendor page and obtain a binding quote before a decision.
It should standardize decisions, controls, ownership, and supported patterns. One provider may be the default, but exceptions should follow measurable workload, regulatory, customer, resilience, or commercial requirements.
At minimum include identity, account structure, networking, encryption, secrets, logging, vulnerability management, data classification, backup, recovery, cost allocation, policy enforcement, and named service ownership.
Provide supported landing zones, reusable services, documented decision paths, automation, clear service levels, and time-bound exception handling instead of manual approval for every routine change.
Prioritize material security or compliance gaps, unsupported platforms, uncontrolled spend, poor recovery, expiring contracts, datacenter deadlines, and workloads with a clear modernization benefit.
Describe the challenge, constraints, current stack, budget, and timeline. PilotPlan researches the options and assembles a sourced implementation plan.
PilotPlan