Google Cloud Platform (GCP) is the third-largest cloud provider and has particularly strong capabilities in data analytics (BigQuery), machine learning (Vertex AI), Kubernetes (GKE — Google invented Kubernetes), and global networking (Google's private fibre backbone). GCP's organisational hierarchy differs from both AWS and Azure, with a resource hierarchy of Organisation → Folders → Projects → Resources, and a unique IAM model where policies are inherited down the hierarchy. Understanding GCP is increasingly important as multi-cloud adoption grows, particularly for data engineering and ML workloads where GCP often has the strongest tooling.
Analogy🏏Cricket
🏏 Think of it like cricket: The match itself is the kernel — real computation at the hardware level. The commentators translating that action into words for the audience are the shell: they take raw events and present them in a form humans can understand and interact with. The television set in your living room is the terminal emulator: it displays the commentary but does not participate in the match.Just as switching from one broadcaster to another changes commentary style but not the underlying match, switching between Linux distributions changes shell defaults and package manager but not the kernel. Just as Star Sports and Sony Six both cover the same IPL match with different graphics packages, Ubuntu and Alpine both run the same kernel with different userspace tools.The insight is that these layers are genuinely separate, which is why you can swap any one of them independently.