Cloud debates usually start with market share. In Q2 2026, Synergy Research put AWS at 28%, Microsoft at 20% and Google at 15% of a $143.4 billion quarter. That tells you who is big. It does not tell you who fits your business.

The cost of guessing is visible. Flexera’s 2026 State of the Cloud report estimates that 29% of IaaS and PaaS spend is wasted, the first rise in five years as AI workloads scale. It also found that 73% of organizations run hybrid estates, often through mergers, SaaS sprawl and decentralized teams rather than deliberate design.

Five Questions Before You Choose

1. Workloads. Separate lift-and-shift virtual machines from containerized microservices, event-driven functions, batch analytics and latency-sensitive systems. Organizations heavily invested in Windows Server, SQL Server and Microsoft 365 often find Azure’s licensing and identity integration compelling. AWS offers the broadest service catalogue. Google Cloud is frequently chosen for analytics and Kubernetes-centric platforms.
2. Data. Data has gravity. Where it lives, how often it moves, and what egress charges apply will shape architecture and cost more than compute pricing. Residency and sovereignty rules can also decide the region, and sometimes the provider.
3. Security and compliance. All three hyperscalers hold major certifications, but the shared responsibility model means you still own identity, configuration and data protection. Most cloud breaches trace back to misconfiguration, not provider failure. Choose the platform whose controls fit your identity provider and regulators.
4. AI ambitions. Amazon Bedrock, Azure AI Foundry and Google Vertex AI each offer managed model access and MLOps tooling. The better fit is usually where your governed data already sits, plus GPU availability in your regions.
5. Operating realities. Team skills, existing contracts, support model and FinOps maturity matter. A platform your team cannot operate well becomes the expensive one.

Apply a Lean Lens

Lean thinking starts with value and removes waste before anything moves. A practical sequence:

1. Inventory applications and dependencies.
2. Rationalize: retire, rehost, refactor or replace each workload.
3. Score each workload against the five questions above.
4. Build governance, tagging and cost visibility from day one.
5. Review quarterly, because needs and pricing change.

Single cloud, multi-cloud or hybrid then becomes an outcome of the analysis, not an assumption.

What Lean IT Implementations Deliver

In Lean IT engagements, the common gains are workload-to-platform decisions backed by evidence, less over-provisioned spend, faster migrations because rework is designed out, and governance that is in place before costs drift.

The right cloud is the one that fits your workloads, data, risk profile, AI plans and team. Lean IT helps enterprises assess their application landscape, eliminate waste before migration, match each workload to the right platform, and set up FinOps and governance so cloud investment keeps paying back.

Not sure which platform fits your business? Schedule a consultation call with Lean IT today.