How can organisations determine if they should use AWS, Azure, or GCP for their cloud deployment?

Organisations can decide between AWS, Azure, and Google Cloud Platform (GCP) by first looking at their internal requirements rather than the platforms themselves. Key considerations include current infrastructure, expected workload growth, data sensitivity, compliance obligations, and long-term operating costs.

AWS is often selected for its broad range of services and maturity, making it suitable for complex or highly scalable systems. Azure tends to work well for organisations already embedded in the Microsoft ecosystem, as it integrates smoothly with tools like Windows Server, Active Directory, and Microsoft 365. GCP is frequently chosen for projects that rely heavily on data analytics, machine learning, or performance-driven workloads.

Beyond features, factors such as regional availability, pricing models, governance controls, and internal skill sets should influence the final decision. Many organisations benefit from an independent technical assessment to match their goals with the most appropriate cloud environment and avoid unnecessary complexity or cost.

For further practical guidance on cloud platform selection and implementation, you can explore insights available on Imobisoft’s website, which covers real-world cloud use cases and decision-making considerations.