Validate GCP resource names against naming conventions and length limits.
Last verified: May 2026
Output will appear here...The validator maintains a curated rule set per GCP resource type, derived from the public Resource Manager and service-specific documentation. Each rule encodes the allowed character class, length range, prefix/suffix restrictions, and reserved-name patterns. When you submit a name, it runs the regex for the chosen resource type, checks length bounds, and reports the specific rule violated rather than just 'invalid'.
Every GCP resource type enforces specific naming rules — character sets, length limits, prefix/suffix restrictions, and uniqueness scopes vary between services. A Compute Engine instance name must be 1-63 lowercase characters matching [a-z]([-a-z0-9]*[a-z0-9])?, while a BigQuery dataset follows entirely different rules. This validator checks resource names against the documented constraints for each resource type, catching issues like uppercase characters, trailing hyphens, or exceeded length limits before you attempt to create the resource and encounter a cryptic API error.
Your Terraform plan fails with 'Invalid value for resource.name: must match the pattern...' on a Cloud Run service. The name was generated by a CI script that concatenated the branch name, but a feature branch called 'Fix_Auth_Bug' produced uppercase and underscores that Cloud Run rejects. You paste the generated name into the validator, see exactly which characters violate the rule, and add a slugify step to the CI script so future branches are normalized to lowercase-hyphenated form.
Cloud Storage bucket names live in a global namespace shared with every other GCP customer — short, common names are almost certainly taken. Prefix bucket names with your project ID (e.g., my-project-prod-uploads) to guarantee uniqueness and make ownership obvious in audit logs.
Compute Engine instance names become DNS labels in the internal zone (instance.zone.c.project.internal), which is why they must be RFC 1035 compliant. If you violate the rules with uppercase or underscores, gcloud will reject the create call before any resource is provisioned — no partial state to clean up.
BigQuery dataset and table names allow underscores, while almost everything else in GCP requires hyphens. Mixing the two in your naming convention causes constant friction. Pick one separator per resource type and document it in your platform's naming standard.
Each GCP service was built on different underlying infrastructure with its own constraints. Compute Engine names map to DNS labels (hence the 63-character limit and lowercase requirement), Cloud Storage bucket names must be globally unique DNS-compatible names, and BigQuery datasets follow SQL identifier rules. These constraints reflect the technical requirements of each service's implementation rather than arbitrary choices.
Most GCP resources cannot be renamed after creation. Compute Engine instances, Cloud Storage buckets, VPC networks, and BigQuery datasets are all immutable once named. To change a name, you must create a new resource with the desired name, migrate data or configuration, and delete the old one. This makes validating names before creation especially important.
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