Cloud MLOps

Centralized Observability with GCP Log Sinks

Filtering and routing critical AI application logs to BigQuery for auditing and analysis using Terraform.

7 min read
Targeted Log Routing

AI Agents generate massive amounts of logs. By configuring precise GCP Log Sinks, we can route specific events—such as LLM invocations, chat completions, or system errors—directly to BigQuery for long-term storage and analysis.

hcl
resource "google_logging_project_sink" "agent_logs" {
  name        = "AGENT_CHAT_RAW_LOG"
  destination = "bigquery.googleapis.com/projects/${var.project_id}/datasets/agent_logs"
  filter      = "SEARCH(\"Chat workflow completed\") AND trace:*"
}
Effective observability turns opaque AI processes into transparent, measurable workflows.

More Recent Posts