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decomposer: generate deliverable files for Discover and structure the solution's functional requirements, non-functional requirements, constraints, assumptions, and open questions without selecting cloud products.; Select Google Cloud products from the confirmed requirements and produce the solution architecture, Mermaid diagram, architecture description, and Terraform infrastructure-as-code.; Validate the Terraform infrastructure and architecture artifacts without deploying resources by running formatting checks, Terraform validation, and a dry-run or plan-oriented deployment check.; Package the approved requirements, architecture, Mermaid diagram, Terraform IaC, and validation results into solution-architecture-guide.md in the gcp_solution_architecture_agent repository.; Verify that the gcp_solution_architecture_agent repository contains the packaged solution-architecture-guide.md with the approved workflow outputs.; Verify that the repository is derived from the workflow_agent template and implements the complete four-phase Google Cloud solution architecture workflow alongside the packaged guide.; Publish the verified gcp_solution_architecture_agent repository with its completed workflow implementation and solution architecture guide.; Verify that the published repository revision contains the completed workflow implementation and solution architecture guide.
2026-09-01 19:58:42 +00:00

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Architecture decision record

The confirmed baseline uses a managed container API, a transactional managed relational datastore, a durable event bus, a serverless event worker, and centralized observability. The API publishes an event after a successful write. The worker is idempotent, acknowledges only after durable processing, and routes exhausted retries to a dead-letter topic. Public access is restricted to HTTPS and application identity; deployment identities are separate from runtime identities.

Selected Google Cloud products

  • Cloud Run: stateless HTTPS API and event worker.
  • Cloud SQL for PostgreSQL: transactional relational persistence.
  • Pub/Sub: durable asynchronous events and dead-letter handling.
  • Artifact Registry: container image repository.
  • Secret Manager: runtime secret references (values supplied out of band).
  • Cloud Logging and Cloud Monitoring: logs, metrics, alerting foundations.
  • Cloud Trace: distributed request tracing.
  • IAM and Service Usage: least privilege and API enablement.

Trade-offs

Cloud Run reduces operational burden and scales to zero, at the cost of cold starts and request/runtime limits. Cloud SQL provides relational transactions but needs sizing, backups, and HA decisions. Pub/Sub provides at-least-once delivery, so consumers must be idempotent. Terraform modules are deliberately small and explicit to keep the reference deployable and reviewable.

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