Cloud Trace GA with SQL Analytics and Observability API
Google Cloud Trace is now generally available, integrating SQL-based query and analysis of trace data within Observability Analytics. This allows users to chart query results, save queries, and join trace with log data. The Observability API is also GA, enabling configuration of trace data storage, encryption, and BigQuery dataset linking for enhanced analysis.
Features (1) ›
- Cloud Trace
The following remote MCP servers automatically generate a trace span for tools/call operations. These spans can help you understand the behavior of your agentic applications. For more information, see Investigate MCP calls using Trace . BigQuery Cloud SQL
Notes (3) ›
- Cloud Trace
Cloud Trace in Observability Analytics is generally available ( GA ). Observability Analytics lets you query and analyze your trace data by using SQL. You can chart your query results, save your queries, and join your trace and log data. For more information, see the following documents: Query and analyze telemetry with Observability Analytics . Chart SQL query results Sample SQL queries Analyze trace data with BigQuery .
- Cloud Trace
The Observability API is generally available ( GA ). This API lets you configure the following: The default storage location and the default encryption key for your trace data. The observability scope. A linked BigQuery dataset, which lets your use BigQuery services to analyze your trace data. For more information, see the following documents: Set defaults for observability buckets Configure observability scopes for multi-project queries Manage observability buckets API overview
- Cloud Trace
Trace scopes are generally available ( GA ). For more information, see Create and manage trace scopes .
https://docs.cloud.google.com/release-notes#May_26_2026