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AWS to GCP Migration: What Changes Architecturally (and What Doesn’t)

A detailed architectural breakdown of migrating from AWS to GCP, aimed at CTOs and senior engineers. Covers the key differences in networking (regional AWS VPCs vs. global GCP VPCs), IAM models (flat AWS policies vs. GCP's hierarchical resource model), compute and Kubernetes (EKS vs. GKE), storage and databases (S3/RDS/DynamoDB vs. GCS/Cloud SQL/Firestore), and pricing (Sustained Use Discounts vs. Reserved Instances). Introduces a three-category framework for classifying workloads by cloud coupling, and outlines a six-phase migration sequence: assess, build GCP foundation, pilot, wave migration, gradual traffic shifting, and validation before decommissioning AWS. Also clarifies what doesn't change: application code, container strategy, IaC discipline, and observability philosophy.

    #aws#kubernetes#gcp#iac
Jul 29•17m read time•From securityboulevard.com
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Table of contents
The Core Architectural Question: Are You Migrating the Workload or the AWS Operating Model?Why AWS to GCP Migration Is on the Table for So Many Engineering TeamsWhat Changes Architecturally: Networking Is the First ShockIAM and Identity: From Flat Policies to a Resource HierarchyCompute and Kubernetes: Familiar Concepts, Different DefaultsStorage and Database: Where the Real Data Migration Service Work HappensWhat Doesn’t Change: The Part Nobody Talks About EnoughAWS Cost Optimization vs GCP Pricing: Where the Math Actually DiffersThe Correct AWS to GCP Migration SequenceHow ISHIR Can Help With AWS to GCP MigrationYour AWS workload may be portable, but your AWS operating model is not.FAQs
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