AWS vs GCP

Cloud platforms.

Overview

AWS and GCP both run global infrastructure with broadly similar primitives, but the muscle memory of each platform is different. AWS has more services and longer enterprise tenure; GCP has stronger data and AI defaults plus a cleaner network model. The choice is usually about workload shape and existing team fluency, not benchmark wins.

• AWS. Largest service catalogue, deepest enterprise procurement story, mature IAM, broad partner ecosystem, regional breadth.
• GCP. Strong defaults for BigQuery, Vertex AI, and managed Kubernetes (GKE), global VPC by default, simpler IAM hierarchy.
• Operational fit. AWS wins where service breadth and enterprise compliance posture matter most; GCP wins where data analytics, ML, and a cleaner network model matter most.
• Per-workload decision and exit cost. Multi-cloud is mostly an exit-strategy fiction at the data-warehouse layer; pick deliberately and budget for staying.

The approach

Pick per workload, weighted by the team's existing fluency and the cost of cross-cloud egress. The "best" cloud at the press-release layer rarely matches the cheapest cloud at your bill.

• Workload-shape classification. Steady-state compute and broad service surface lean AWS; analytical pipelines and AI/ML workloads lean GCP.
• Team fluency check. Migrating to a cloud nobody on the team has run in production costs more than running on the second-best cloud you already know.
• Egress and gravity model. Once data lives in one cloud, moving it elsewhere becomes the dominant cost. Decide where the gravity sits before choosing.
• Document the choice and the trigger to revisit. Capture the rationale and the conditions (regional gap, pricing change, service maturity) that would flip it.

Why this compounds

Cloud choice compounds because IAM patterns, networking, deployment pipelines, and on-call muscle memory all anchor on one cloud. Each new service inherits that surface for free.

• Operational consolidation. Fewer clouds mean fewer IAM models, fewer billing systems, and one set of best practices to maintain.
• Cost predictability. A documented choice keeps surprise bills out of the next quarter and gives finance a model to forecast.
• Faster onboarding. One cloud per team shortens new-hire ramp by weeks.
• Decision trail for the next workload. Each documented choice teaches the next team which questions to ask, not which cloud to default to.