Configure Audit Log Sinks And Destinations

What the solution is

This solution implements an enterprise-grade log routing architecture using Google Cloud aggregated sinks, supported export destinations (Pub/Sub and BigQuery), and Log Router exclusions to capture critical audit telemetry while controlling storage and ingestion costs.

How it meets all requirements

• Near real-time SIEM ingestion: By creating an aggregated sink at the organization level with a destination set to a Pub/Sub topic, log entries across all folders and projects are collated and published as JSON messages in real time for external SIEM integration (such as Splunk or Datadog).
• Centralized SQL analytics without write errors: The sink for SQL analysis targets a standard, write-enabled BigQuery dataset. Cloud Logging can stream structured LogEntry records directly into standard BigQuery datasets for complex joins with enterprise data.
• Cost and volume management: Configuring exclusion filters on the _Default sinks prevents high-volume Data Access logs from being ingested into local project _Default log buckets, eliminating unnecessary ingestion charges. Furthermore, mandatory Admin Activity logs are automatically routed and retained in the _Required bucket and cannot be dropped or excluded.

Key advantages and capabilities

• Centralized governance: Organization-level aggregated sinks eliminate the operational burden of configuring individual sinks in every project.
• Decoupled consumption: Pub/Sub provides scalable, decoupled buffering for external log consumers and SIEM connectors.
• Guaranteed audit integrity: Core administrative actions remain permanently captured in the immutable _Required bucket regardless of custom exclusion rules.
• Cost predictability: Filtering voluminous Data Access logs at the _Default sink level prevents runaway storage and ingestion costs.

Why this is optimal

This architecture directly addresses the unique capabilities and constraints of Cloud Logging routing destinations. It uses Pub/Sub for real-time third-party streaming, avoids read-only BigQuery destination failures, and leverages built-in exclusion mechanisms to balance compliance visibility with cost governance.