Google Cloud preconfigured dashboards and alerts

This dashboard displays AlloyDB for PostgreSQL performance and resource consumption metrics, including:

• CPU and memory utilization
• Connection counts
• Storage usage
• Transaction and query rates
• Replication lag

Use this dashboard to:

• Monitor CPU, memory, and storage utilization for capacity planning
• Track connection and transaction rates to understand workload patterns
• Identify queries that affect performance
• Monitor replication health in high-availability configurations

For detailed metrics information, refer to AlloyDB.

This dashboard provides visibility into Cloud Bigtable performance and capacity, including:

• CPU utilization (average and for the hottest node)
• Storage utilization
• Request count and error rate
• Request latency
• Read and write throughput

Use this dashboard to:

• Monitor cluster CPU and storage to plan node capacity
• Track request latency and error rates to detect performance issues
• Identify hot nodes that affect cluster performance
• Analyze read and write throughput patterns

For detailed metrics information, refer to Cloud Bigtable.

This dashboard displays Cloud Run service performance and runtime behavior, including:

• Request count and response codes
• Request latency
• Container instance count and scaling activity
• CPU and memory utilization
• Billable instance time

Use this dashboard to:

• Monitor request throughput and latency for your services
• Understand scaling behavior by tracking instance counts over time
• Analyze response code patterns to identify errors
• Track CPU and memory utilization to tune resource limits
• Observe billable instance time to manage costs

For detailed metrics information, refer to Cloud Run.

This dashboard displays Cloud SQL performance and resource consumption metrics, including:

• CPU and memory utilization
• Disk usage and disk I/O
• Active connections
• Query and transaction rates
• Replication lag

Use this dashboard to:

• Monitor CPU, memory, and disk utilization for capacity planning
• Track connection and query rates to understand workload patterns
• Detect storage constraints before they impact operations
• Monitor replication health in high-availability configurations

Cloud SQL dashboards also integrate with Database Observability. For more information, refer to Access Database Observability.

For detailed metrics information, refer to Cloud SQL.

This dashboard provides monitoring for Compute Engine instances, including:

• CPU utilization
• Memory usage
• Disk I/O (read and write operations)
• Network traffic (bytes sent and received)
• Instance uptime

Use this dashboard to:

• Monitor CPU and memory utilization to identify resource constraints
• Identify high disk I/O that might indicate performance bottlenecks
• Track network traffic patterns and potential network issues
• Plan capacity upgrades based on resource usage trends

For detailed metrics information, refer to Compute Engine.

This dashboard provides Cloud Load Balancing monitoring, including:

• Request count and response codes
• Backend latency and total latency
• Request and response bytes
• Backend health

Use this dashboard to:

• Monitor request throughput and latency across backends
• Analyze response code patterns to identify issues
• Track backend health and detect unhealthy instances
• Analyze traffic distribution across backend targets

For detailed metrics information, refer to Load Balancing.

This dashboard displays Pub/Sub messaging metrics, including:

• Published and delivered message counts
• Unacked message backlog
• Oldest unacked message age
• Acknowledgment rates
• Delivery latency

Use this dashboard to:

• Monitor message publish and delivery throughput
• Detect growing backlogs that indicate slow or stalled consumers
• Track the age of the oldest unacked message to catch processing delays
• Troubleshoot delivery and acknowledgment failures

For detailed metrics information, refer to Pub/Sub.

This dashboard provides insights into Cloud Storage buckets, including:

• Request count and request latency
• Total bytes stored
• Object count
• Network traffic (sent and received bytes)

Use this dashboard to:

• Monitor request throughput and latency
• Track storage capacity and object counts to plan for growth
• Analyze data transfer patterns and optimize costs
• Identify performance issues with high latency

For detailed metrics information, refer to Storage (GCS).

This dashboard displays Virtual Private Cloud (VPC) network metrics derived from VPC Flow Logs, including:

• Bytes and packets sent and received
• Connection counts
• Traffic by source and destination
• Top talkers across the network

Use this dashboard to:

• Monitor network traffic volume across the VPC
• Identify top sources and destinations of traffic
• Detect unexpected traffic patterns that might indicate issues
• Analyze connectivity between resources

For detailed metrics information, refer to VPC networks.