Build Cloud SQL read replica configurations with instance sizing, networking, and query insights.
Last verified: May 2026
Build Cloud SQL read replica configurations with instance sizing, networking, database flags, and query insights.
Required Fields
namemasterInstanceNameprojectregiondatabaseVersionsettings.tierOutput will appear here...The builder constructs Cloud SQL read replica configurations: replica resource (database_version inheriting from primary, master_instance_name reference, replica_configuration with verify_server_certificate, region/zone selection, machine type, storage size, IP configuration with private IP support, query insights for performance monitoring). Output is generated as gcloud sql instances create commands with --master-instance-name and Terraform google_sql_database_instance with master_instance_name set.
Build Cloud SQL read replica configurations with instance sizing, networking, and query insights. This tool helps GCP engineers generate valid configurations quickly without consulting documentation, reducing errors and accelerating infrastructure deployment. All processing runs in your browser with no data sent to external servers.
Your team's reporting workload is hammering the production Cloud SQL primary — analytics queries causing latency for OLTP traffic. The builder generates a read replica config: same machine size as primary in the same region, connected to the same VPC via private IP. Migrate the analytics workload to the replica. Primary instance latency drops to baseline; analytics queries don't compete for OLTP resources. Cost: +$140/month for the replica, dwarfed by the user-experience improvement on production traffic.
Read replicas are billed as separate instances at the same machine type as the primary. For a 4 vCPU primary, each replica adds ~$140/month. Don't add read replicas reflexively — ensure your read load actually needs them. A single Cloud SQL primary handles thousands of QPS for most workloads.
Cross-region read replicas enable low-latency reads from a remote region AND serve as a DR target. The catch: replication lag (typically <5 seconds, but can spike to minutes during heavy writes). Don't read from cross-region replicas if you need read-after-write consistency.
Promotion: a read replica can be promoted to a standalone primary (e.g., during DR failover or for splitting workloads). Promotion is irreversible — the new primary has its own writes and can no longer rejoin the original primary's replication chain. Plan promotion as part of DR runbook, not as a routine operation.
It produces structurally valid output for the GCP schemas it supports. We still recommend running provider validation locally before applying — schemas evolve and a recently-released property may not yet be reflected. When validation does fail, the message points at the exact attribute the schema rejected.
Most Cloud SQL Replica primitives behave the same in standard, Assured Workloads, and sovereign Google Cloud deployments, but available services, regions, and access controls differ. The output is portable in shape; you must verify service availability and any Assured Workloads constraints before applying in a controlled environment.
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Disclaimer: This tool runs entirely in your browser. No data is sent to our servers. Always verify outputs before using them in production. AWS, Azure, and GCP are trademarks of their respective owners.