Your organization uses Google Cloud Infrastructure Manager (Infra Manager) to automate the provisioning of Terraform configurations across dozens of microservices. During a major scheduled release, multiple continuous integration/continuous delivery (CI/CD) pipelines execute concurrently in the same project, triggering multiple deployments at once. Several deployments fail unexpectedly with API rate limit errors associated with the underlying Cloud Build orchestration polling deployment statuses. What should you do to mitigate and resolve these deployment failures?

Serialize the deployment pipeline executions or distribute the deployments into separate Google Cloud projects.: ### What the Solution Is This approach restructures how automated deployment workloads interact with Google Cloud APIs by staggering execution queues or partitioning deployments across project-level boundary limits. ### How It Meets the Requirements - **Resolves Cloud Build API Rate Limits:** Infra Manager utilizes Cloud Build under the hood to execute Terraform operations and automatically queries Cloud Build status approximately 12 times per minute per deployment. When dozens of deployments run concurrently within a single project, the aggregated polling requests exceed the project's Cloud Build API rate limits. - **Serializing Deployments:** Enforcing pipeline queuing or serialization limits the number of active, concurrent deployment jobs, keeping total API request rates well beneath enforced per-minute API quotas. - **Project Separation:** Distributing deployments into distinct Google Cloud projects isolates API quotas, providing each workload with its own dedicated quota allocation and preventing rate starvation. ### Key Advantages and Capabilities - **Eliminates Intermittent Rate Limit Failures:** Directly targets the root cause of API throttling without requiring changes to underlying Terraform manifests. - **Improves Blast Radius Containment:** Segregating deployments across projects prevents noisy-neighbor problems where one team's rapid deployments exhaust shared quota for other teams. - **Maintains Infrastructure Integrity:** Allows Terraform runs to complete their polling and state management cycles reliably without sudden API dropouts. - **Scalable Architecture:** Establishes multi-tenant or multi-project CI/CD patterns suitable for enterprise scale. ### Why This Is Optimal Because Cloud Build API rate limits are enforced at the project/organization level per unit of time, reducing concurrency through serialization or horizontally scaling quota across separate projects directly remedies API throttling during high-volume deployment windows.