☁️Google

How GCP structures organisations, folders, projects, and resources — and how IAM policies inherit down the hierarchy.

GCP's IAM model — principals, roles, service accounts, org policies, and the principle of least privilege in practice.

GCP's IaaS VM service — machine types, images, persistent disks, instance groups, preemptible/spot VMs, and metadata-driven startup scripts.

Managed Kubernetes on GCP — standard vs Autopilot modes, node pools, workload identity, GKE networking, and cluster maintenance.

GCP's serverless spectrum — Cloud Run, Cloud Functions, and App Engine — including when to use each and how they handle scale-to-zero.

GCS object storage — storage classes, bucket configuration, lifecycle policies, access control, signed URLs, and transfer services.

Cloud SQL and Cloud Spanner — GCP's relational database offerings, their architectures, replication models, and when to choose each.

Firestore, Bigtable, Memorystore, and BigQuery — GCP's NoSQL and analytical database services and their appropriate use cases.

GCP's serverless data warehouse — how BigQuery stores and queries petabyte-scale data, its pricing model, and integration with the analytics ecosystem.

GCP Virtual Private Cloud — global VPC architecture, subnets, firewall rules, routes, shared VPC, and VPC peering.

GCP's load balancing portfolio — global vs regional, HTTP(S), TCP, UDP, and internal load balancers, plus Cloud CDN for caching.

Connecting on-premises to GCP — Cloud VPN, Cloud Interconnect, Cloud Router, and the BGP dynamic routing that ties them together.

GCP's security services — KMS, Secret Manager, Security Command Center, VPC Service Controls, DLP, and compliance frameworks.

Google Cloud's operations suite — Cloud Monitoring, Cloud Logging, Cloud Trace, Cloud Profiler, and Error Reporting for full observability.

GCP's data analytics stack — Pub/Sub messaging, Dataflow stream and batch processing, Dataproc for Hadoop/Spark, and the Looker BI platform.

Migrating workloads to GCP — the migration framework, transfer tools, VM migration with Migrate for Compute Engine, and database migration strategies.

Designing reliable GCP architectures — SRE principles, high availability patterns, DR planning, and cost optimisation strategies.

Anthos — Google's hybrid and multi-cloud platform for running Kubernetes workloads on-premises, in GCP, and across other clouds.