Google Cloud Platform & GKE
GCP's resource model, Compute Engine and GKE, Cloud Build pipelines, and IAM/cost management -- mapped against AWS and Azure equivalents.
Practice interview questions on this topic →GCP Fundamentals: Resource Hierarchy and Core Services
beginnerHow Google Cloud organizes resources into projects, folders, and organizations, and how its core services map onto the AWS and Azure building blocks you may already know.
Compute Engine, GKE, and Cloud Run
beginnerProGCP's three compute tiers -- unmanaged VMs on Compute Engine, fully managed Kubernetes on GKE, and fully serverless containers on Cloud Run -- and how to decide which one a given workload belongs on.
Storage and Databases: Cloud Storage, Cloud SQL, and BigQuery
intermediateProCloud Storage's storage classes and lifecycle rules, Cloud SQL as a managed relational database, and BigQuery's serverless analytics model from a practical, workload-fit angle rather than a full data-warehousing curriculum.
CI/CD on GCP: Cloud Build and Deploying to GKE
intermediateProHow Cloud Build executes CI/CD pipelines as a sequence of containerized steps, and a worked example that builds a container image and deploys it to GKE automatically on every push.
IAM and Cost Management on GCP
intermediateProGCP's IAM role model, how service accounts work and where they commonly go wrong, and the billing tools -- budgets, alerts, and basic cost-optimization practices -- every team should have in place before costs become a surprise.