> ## Documentation Index > Fetch the complete documentation index at: https://fly-io-mjbraun-compliance-review-2026-09.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Monitoring and Metrics Illustration by Annie Ruygt of a balloon doing a lot of tasks ## Performance Monitoring 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: 1. Navigate to your MPG cluster in the Fly.io dashboard 2. Click the **Metrics** tab 3. Optionally filter by specific database using the database dropdown 4. 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 (R) 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 |