The Managed Postgres dashboard provides comprehensive performance monitoring and metrics for your PostgreSQL clusters. The Metrics tab gives you real-time visibility into your database’s performance, helping you identify bottlenecks and optimize your applications.
Accessing Metrics
To view metrics for your cluster:
Navigate to your MPG cluster in the Fly.io dashboard
Click the Metrics tab
Optionally filter by specific database using the database dropdown
Select your desired time range (15 minutes, 1 hour, 6 hours, 24 hours, or 2 days)
Available Charts and Metrics
The metrics dashboard provides detailed insights through various charts and gauges organized into categories:
System Resource Metrics
Metric
Description
Database CPU Utilization
CPU usage percentage for each database instance, labeled with Primary (P) and Replica ® badges. Shows individual instance IDs and averages over the selected time period
Database Memory Utilization
Memory usage for Primary and Replica database instances. Displays current usage and average consumption per instance
Pooler CPU Utilization
CPU usage percentage for PGBouncer connection pooler instances. Typically remains low under normal operations
Pooler Memory Utilization
Memory consumption in MB for connection pooler instances. Shows usage for each pooler with instance IDs
Connection Metrics
Metric
Description
Database Connections
Shows active and idle database connections over time
Pooler Connections
Tracks active and waiting connections through PGBouncer
Database Operations
Metric
Description
Database Operations
Row-level operations per second broken down by type (inserts, updates, deletes, and fetches). Shows throughput patterns and workload distribution across operation types
Cache Hit Ratio
Percentage of data requests served from memory versus disk. Higher percentages (95%+) indicate efficient memory usage. Lower values suggest queries are hitting disk frequently
Deadlocks
Count of database deadlocks detected when two or more transactions are waiting for each other to release locks. Shows frequency and timing of these mutual blocking situations
Storage
Metric
Description
Database Size
Current storage usage across databases
Replication Metrics
Metric
Description
Replication Delay Bytes
Amount of WAL (Write-Ahead Log) data in bytes that the replica is behind the primary. Measures the volume of changes waiting to be applied
Replication Delay Seconds
Time in seconds that the replica lags behind the primary database. Represents how long ago the replica’s current state reflects the primary
