Bigquery Ha Dr Sla Architecture Design

What the Solution Is

This architecture pairs cross-region dataset replication and failover reservations across two distinct single regions (us-central1 and us-east1) with BigQuery's built-in time travel and fail-safe retention mechanisms to achieve comprehensive disaster recovery.

How It Meets Regional Disaster Requirements

• Protection against physical regional loss: BigQuery multi-region configurations (such as the US multi-region) store data within a single region in that geography and do not provide automated regional redundancy. Pairing two distinct regions like us-central1 and us-east1 avoids shared failure domains while strictly complying with US data residency.
• Low RTO and RPO: Replicating datasets across regions and establishing a failover reservation with pre-provisioned slots in the secondary region ensures minimal data lag and rapid failover execution during a regional disaster.

How It Meets Corruption and Recovery SLAs

• Time travel window: By default, BigQuery retains modified or deleted storage blocks for up to 7 days, allowing self-service point-in-time SQL queries and snapshot table restorations.
• Fail-safe period: After the 7-day time travel window ends, BigQuery automatically retains deleted data for an additional 7 days (covering up to 14 total days from the modification/deletion event). For corruptions discovered at day 12, data can be restored through Cloud Customer Care.

Key Advantages

• Guarantees regional redundancy without shared fate or overlapping failure domains.
• Combines automated replication with compute failover readiness.
• Protects historical states across a total 14-day retention buffer without requiring manual daily full-table exports.

Why This Is Optimal

This design directly maps the operational SLAs to native Google Cloud features: cross-region replication handles physical infrastructure disasters, while the combined 14-day time travel and fail-safe retention covers long-tail logical corruption.