Google Cloud Platform (GCP) is the public cloud service line from Google. It offers virtual machines through Compute Engine, object storage through Cloud Storage, managed Kubernetes through GKE, serverless products such as Cloud Run, and data and machine learning services like BigQuery.
Why it matters
GCP is one of the big three general-purpose clouds. It is often chosen for data analytics, Kubernetes-centered workloads and teams that value its global network. Resources are organized into projects, which are the main unit for billing, permissions and quotas, so understanding projects is the first step to using it safely.
Example
Listing instances and deploying a container to a serverless runtime:
gcloud compute instances list
gcloud run deploy web --image gcr.io/my-proj/web --region us-central1Both commands act on the currently selected project, which you can check with gcloud config get-value project.
Common mistakes
- Running experiments in the production project, so a cleanup command hits live resources.
- Granting basic owner or editor roles to service accounts instead of narrow ones.
- Leaving test resources running and discovering the cost on the next bill.
- Assuming a default network and firewall setup is suitable for production.
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