Google Cloud is Google’s public cloud: compute, storage, networking, data, ML and managed services on a global footprint.
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Google Cloud is Google’s public cloud: compute, storage, networking, data, ML and managed services on a global footprint.
Catalog categories: cloud_infrastructure.
Catalogued capability areas: - IaaS compute, block/object storage, networking - Managed databases, data and ML services - Global regions and managed control plane
This summary reflects the catalog record, not a complete product specification. Verify intended users, end-to-end workflows, supported platforms, edge cases, data handling, and constraints against cited sources. Treat capability labels as research leads until that verification is complete.
4 candidate projects in the landscape. A candidate may cover all, part, or none of what Google Cloud does — read the coverage and gaps below.
Private-cloud IaaS (compute, storage, network).
The main open IaaS.
Turnkey IaaS platform.
Simpler single-stack option.
Private-cloud management.
Lightweight alternative.
Container platform layer of a modern private cloud.
Layer, not a full cloud.
Alternative coverage
Available. A private cloud can be built entirely from open source; the public-cloud service breadth and scale are the remaining gap.
The gap
A globally distributed, fully managed public cloud and its economies of scale are not reproducible by a single operator.
This Markdown file is the coding-agent skill for Google Cloud. Give it to your agent in your project; it guides research, reuse decisions, implementation and verification.
Give the Google Cloud skill to your coding agent in your project. Ask it to evaluate OpenStack ↗ against your needs, reuse what fits, then follow the skill's build and verification instructions.
Give the product skill to your coding agent in the project where you want to build. Optional starter workspace: rae build product google-cloud --out ./google-cloud. CLI reference.
