I thought building across clouds would be about configuration.
It turned out to be about perspective.
The goal sounded simple: create a production-ready, well-documented environment that followed best practices across AWS, Azure, and GCP.
On paper, it looked like setup.
In practice, it became a lesson in how differently each platform defines infrastructure.
Each cloud has its own worldview.
AWS gives flexibility, composable primitives you can wire up any way you want.
Azure gives structure, governance and policy woven into every layer.
GCP gives simplicity, opinionated defaults that keep systems clean.
But the deeper you go, the more differences compound.
ECS becomes Container Apps, then Cloud Run.
ALBs become Application Gateways, then Global Load Balancers.
S3 becomes Blob Storage, then Cloud Storage.
GuardDuty turns into Microsoft Defender, then Security Command Center.
CloudWatch morphs into Azure Monitor, then Cloud Monitoring.
Every component works, just differently.
The challenge isn’t technical parity.
It’s conceptual alignment.
When I ran the full analysis, the data told its own story:
5,007 total lines of infrastructure code across 129 files.
4,172 lines of IaC, 835 lines of documentation.
1,400 lines mapped to AWS, 1,100 to Azure, 1,672 to GCP.
25+ services, 3 analytics stacks, and production-ready workloads.
For a senior DevOps team, that’s ~2,000+ hours of engineering time.
$288K–$384K and 3–4 months of focused work.
AI compressed that into minutes.
No trial and error.
No syntax research.
Real-time dependency mapping.
Complete, secure, and well-configured infrastructure.
Documentation in minutes.
It didn’t replace us, it multiplied what we could achieve.
The invisible became visible: dependencies, mismatched policies, cost drift, and inconsistencies.
Everything aligned into one coherent system.
Building a multicloud posture isn’t about running workloads everywhere.
It’s about aligning intent across design philosophies.
AWS rewards flexibility.
Azure enforces governance.
GCP optimizes simplicity.
Success comes from knowing what not to replicate and what to redesign for each platform.
Infrastructure at scale isn’t static.
It evolves, just like the organizations behind it.
Start building your own multicloud environment on Infracodebase and see how different clouds can tell a single, unified story.
Lmk if you want me to share the full GitHub project.
❤️ Would be really happy to have a session with you to help you build your own scenario.
Check the video here 👉 https://www.youtube.com/watch?v=PsVDIhwA0r0&t=616s
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