A game development studio provisions isolated, short-lived game server fleets across multiple Google Cloud regions using Terraform pipelines. Multiple automated build jobs running concurrently frequently fail due to state file locking collisions and state corruption when attempting to write to the local directory before uploading state. Which approach should the cloud architecture team implement to ensure reliable, concurrent environment provisioning and state integrity?
- Configure a Cloud Storage remote backend with state locking and object versioning enabled.Cevap
- BStore the Terraform state locally within each ephemeral pipeline worker and upload it to a Cloud Storage bucket upon completion without versioning.
- CGrant the primitive Owner role to the pipeline service account to bypass Cloud Storage object locking restrictions.
- DInstruct developers to resolve state locking collisions by manually updating resources via Google Cloud Console and forcing state refresh.
Cevap
Configure a Cloud Storage remote backend with state locking and object versioning enabled.
Configuring a Google Cloud Storage remote backend with object locking and versioning ensures that concurrent execution jobs lock state during operations, preventing simultaneous updates and corruption while maintaining continuous environment reliability.
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Anahtar Kavram
Centralized remote state management with backend locking and versioning for Infrastructure as Code reliability
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