PolarDB Agent LakeBase provides 22 monitoring metrics organized into six categories: cluster overview, cache performance, client I/O, client resources, object storage, and metadata engine. These metrics help you understand your file system usage, identify performance bottlenecks, and optimize data access.
View monitoring metrics
Log in to the PolarDB console. In the left-side navigation pane, click Clusters. Select the region where your cluster is located, and then click the target cluster ID to open the cluster details page.
In the left-side navigation pane, choose .
In the AI Cache section, click the ID of the target instance to open the instance details page.
Click the Performance Monitoring tab.
Cluster overview metrics
Cluster overview metrics provide a high-level view of your storage usage and connection status.
Metric | Unit | Description |
File and Folder Count | Count | The total number of files and directories stored in the cluster. This value reflects the total number of inodes in the file system, including regular files and directories. |
Data Volume | Byte | The total logical storage space occupied by all files in the cluster. This value is the sum of the sizes of all files and does not include file system metadata overhead. |
Client Count | Count | The current number of clients (mount points) connected to the cluster. |
Cached Data Volume | Byte | The total size of data cached on the cache nodes. |
Cache performance metrics
Cache performance metrics reflect the hit efficiency and request activity of the cache layer.
Metric | Unit | Description |
Cache Hit Ratio (Bandwidth) | % | The percentage of total read data that is served from the cache nodes. |
Cache Hit Ratio (Count) | % | The percentage of total read requests that are served from the cache nodes. |
GET Cache Request Count | Count | The total number of Get requests sent to the cache nodes. |
PUT Cache Request Count | Count | The total number of Put requests sent to the cache nodes. |
Client I/O metrics
Client I/O metrics track client-side read and write activity, including bandwidth and IOPS.
Metric | Unit | Description |
Client Write Bandwidth | Byte/s | The throughput of data written by clients. |
Client Read Bandwidth | Byte/s | The throughput of data read by clients. |
Client Write IOPS | Count/s | The number of write operations initiated by clients per second. |
Client Read IOPS | Count/s | The number of read operations initiated by clients per second. |
Client GET Bandwidth | Byte/s | The throughput of data retrieved by clients through Get operations. |
Client Flush IOPS | Count/s | The number of Flush operations triggered by clients per second. |
Client resource metrics
Client resource metrics track the resource consumption of client processes. These metrics help you determine if a client has become a performance bottleneck.
Metric | Unit | Description |
Client CPU | % | The client's CPU utilization. |
Client Memory | Byte | The amount of memory the client uses. |
Object storage metrics
Object storage metrics track data interaction between the AI cache and backend OSS. These metrics reflect the workload generated by cache penetration and data persistence.
Metric | Unit | Description |
Cache Node OSS GET Bandwidth | Byte/s | The throughput of data read (Get) from OSS by the cache nodes. |
Cache Node OSS GET IOPS | Count/s | The number of read (Get) requests per second sent from the cache nodes to OSS. |
OSS PUT Bandwidth | Byte/s | The throughput of data written (Put) to OSS by clients and cache nodes. |
OSS PUT IOPS | Count/s | The number of write (Put) requests per second sent to OSS by clients and cache nodes. |
OSS Delete IOPS | Count/s | The number of delete (Delete) requests per second sent to OSS by clients and cache nodes. |
Metadata engine metrics
Metadata engine metrics track the workload of file system metadata operations.
Metric | Unit | Description |
Metadata Engine Operations | Count | The total number of operations initiated by clients to the metadata engine. |