AWS vs Azure

Cloud platforms.

Overview

AWS and Azure are the two leading hyperscale clouds with different optimisation targets. AWS leads on feature breadth (the largest cloud catalogue, every service anyone might need); Azure leads on Microsoft ecosystem integration (Active Directory, Office 365, .NET, Windows licensing). The right answer depends on whether feature breadth or Microsoft-stack alignment matters more.

• AWS: feature breadth. Largest service catalogue, deepest documentation, broadest community. Default for cloud-native greenfield workloads.
• Azure: Microsoft ecosystem. Active Directory integration, Windows licensing benefits, .NET-first tooling, Office 365 alignment. Default for Microsoft-stack enterprises.
• Operational fit per team. Existing AWS or Azure expertise biases toward continuity. Hiring pool differs by region and stack.
• Per-workload choice. Different workloads may pick differently in multi-cloud orgs. Document the rationale per workload.

The approach

Workload-driven choice, per-team operational fit considered, documented rationale per workload. The discipline is making the cloud choice once per workload with a written reason rather than running both clouds for the same service (which doubles ops surface).

• Workload-driven. Cloud per workload. Reality drives the answer.
• AWS for feature-breadth workloads. Greenfield cloud-native, broad service inventory, deepest community knowledge. Default for typical SaaS.
• Azure for Microsoft-stack workloads. AD integration, Windows licensing, .NET ecosystem. Default for Microsoft-stack enterprises.
• Operational fit plus documented rationale. Team expertise considered; per-workload rationale captured. Future migrations have a paper trail.

Why this compounds

The right cloud choice compounds across years. Service patterns and team expertise align with the platform; cross-workload tooling (IAM, networking, observability) gets built once and reused. By year two the cloud choice is automatic per workload and migration costs become real.

• Better operational fit. Cloud matches team. Velocity stays high.
• Better cost efficiency. Right cloud means existing licensing and reservation discounts apply. Bill stays inside budget envelope.
• Workload-driven decisions. Replaces tribal preference with documented rationale. Quality of choice improves.
• Year-one investment, year-two habit. First decision is the investment; subsequent workloads inherit the patterns.