GCP for AWS Professionals
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If you're an experienced AWS professional, you already have a strong foundation in cloud computing. This guide is designed to help you leverage that expertise to quickly understand Google Cloud Platform (GCP). We'll map AWS concepts and services to their GCP counterparts, highlighting the key differences and advantages of each platform.
Why Should AWS Professionals Learn GCP?
- Multi-Cloud is the Future: More companies are adopting multi-cloud strategies to avoid vendor lock-in and leverage the best services from each provider. Knowing both AWS and GCP makes you a more valuable asset.
- Career Growth: Adding GCP to your skillset opens up new job opportunities and consulting engagements.
- Unique Strengths: GCP has industry-leading services in data analytics (BigQuery), machine learning (Vertex AI), and container orchestration (Google Kubernetes Engine).
- Cost Savings: GCP's billing models, such as per-second billing and automatic sustained use discounts, can offer significant cost advantages over AWS for certain workloads.
Key Structural Differences: AWS vs. GCP
While many services have direct equivalents, the fundamental architecture of GCP has some important distinctions from AWS.
- Resource Hierarchy: AWS is account-centric. In GCP, the fundamental unit is the Project. All resources belong to a project, which in turn belongs to a folder, and then an organization. This creates a clear hierarchy for managing policies and billing.
- Global Networking: GCP's VPCs are global by default, whereas AWS VPCs are regional. This means you can have subnets in different regions within the same GCP VPC, simplifying global network architecture.
- IAM Inheritance: GCP's Identity and Access Management (IAM) policies are inherited down the resource hierarchy. Permissions granted at the organization level flow down to folders, projects, and resources.
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