Dash0 Raises $110M Series B at $1B Valuation

Jun 16, 2026

Contributors

Fredrik August Madsen-Malmo

Fredrik August Madsen-Malmo

Google Cloud infrastructure monitoring - Cloud SQL Monitoring

Dash0 now collects metrics for your Cloud SQL instances automatically. Connect a GCP project and see CPU, memory, and disk utilization, connection activity, and engine-specific performance for PostgreSQL, MySQL, and SQL Server, with no dashboards to build.

What's included

  • Automatic metric collection across connected projects. Every Cloud SQL instance in your connected GCP projects appears under Infrastructure > Google Cloud > Cloud SQL. The overview lists each instance with its database engine and version, region and project, CPU, memory, and disk utilization, network throughput, and any open issues raised by failed check rules.
  • Detailed instance views. Click any instance to drill into time-series charts organized into three sections. Resource utilization covers CPU, memory, and disk gauges, network ingress and egress, disk read and write operations, and storage by data type. Connections and activity tracks connection counts and query throughput. Performance and cache surfaces hit ratios, transaction throughput, and engine health indicators.
  • Engine-aware metrics. Dash0 detects the database engine from each instance's version and maps it to the OpenTelemetry db.system.name attribute. The connection and performance sections then adapt to that engine: backends, statements, and transaction ID utilization for PostgreSQL; threads, slow queries, and InnoDB buffer pool, row locks, and deadlocks for MySQL; login attempts, blocked processes, deadlocks, buffer cache hit ratio, and page life expectancy for SQL Server.
  • Query and alert with PromQL. Metrics are stored under their GCP Cloud Monitoring type names and queryable with otel_metric_name in the Query Builder. Build custom dashboards, then create check rules to catch high utilization, disk approaching quota, connection saturation, slow queries, deadlocks, and falling cache hit ratios.
  • Correlation with application telemetry. Pivot from instance utilization to the traces and logs from the services hitting that instance. When database clients are instrumented with OpenTelemetry, Dash0 correlates their db.system.name and db.namespace spans with Cloud SQL infrastructure metrics so you can tie database pressure to user-facing latency.

    To get started, set up the [Google Cloud integration] and open Infrastructure > Google Cloud > Cloud SQL.