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Tair (Redis® OSS-Compatible):View performance monitoring data

Last Updated:Jul 21, 2026

Tair (Redis OSS-compatible) tracks key instance health metrics — CPU utilization, memory usage, average latency, and queries per second (QPS) — in real time. Use the Performance Monitoring page to review trends for any time range within the last month and catch issues before they affect your application.

Monitoring metrics

The following metrics are available on the Performance Monitoring page:

Metric Description
CPU utilization Percentage of CPU capacity used by the instance
Memory usage Amount of memory consumed by the instance
Average latency Mean time to process a command
QPS (queries per second) Total number of commands processed per second

View monitoring data

  1. Log on to the console and go to the Instances page. In the top navigation bar, select the region where your instance resides. Find the instance and click its ID.

  2. In the left-side navigation pane, click Performance Monitoring.

  3. Select a time range. The trend charts update to show data for that period.

    The maximum time range per query is three days. Data granularity in trend charts adjusts automatically based on the selected time range.
  4. Interpret the data based on your instance architecture:

    Architecture Available tabs How metrics are aggregated
    Master-replica (default view) Focus on master node metrics
    Cluster All, Data Node All tab shows aggregated data across all replica nodes or read replicas (CPU utilization = average across nodes; some metrics use sum)
    Read/write splitting All, Data Node All tab aggregates replica nodes; read replica metrics are not aggregated
    Any architecture with proxy nodes All, Proxy Node All tab shows overall proxy performance; Proxy Node tab shows per-proxy metrics

FAQ

Why do read replicas have write QPS after I enable read/write splitting?

Write QPS on read replicas does not come from client write requests. It reflects the write operations that occur when the master node synchronizes data to the read replicas.

Why does the connection count show 0 for cluster architecture instances?

In proxy mode, data nodes show 0 connections because those connections are internal — they run between proxy nodes and data nodes, are reused, and typically average between 0 and 2. To see actual client connections, check the proxy node metrics on the Proxy Node tab. You can ignore the connection count on data nodes.

Why does my instance not have a QPS usage rate metric?

Cloud-native cluster instances provide only the absolute QPS value (commands per second) as a monitoring metric, not a QPS usage rate. This is because cloud-native cluster instances do not have a strict QPS upper limit. The reference value is approximately 100,000 commands per second, but actual throughput can be higher depending on workload characteristics. To evaluate instance load, we recommend monitoring CPU utilization, memory usage, and bandwidth usage instead.

Why does the P99 latency metric appear after upgrading to a new proxy version?

The new proxy nodes support P99 latency statistics, whereas earlier proxy versions did not collect this metric. If you observe that the P99 latency metric changes from unavailable to available, or from 0 to a non-zero value after an upgrade, this is expected behavior. It indicates that the new version is correctly collecting latency data and does not represent a performance degradation. Additionally, when checking instance connections, view the connection count on proxy nodes rather than data nodes. The data node connection count does not reflect actual client connections.

Why does the used connection count show 1 in performance monitoring when session monitoring shows 0 client connections?

When session monitoring shows that the client connection count is 0, but the used connection count (Counts, Sum) in Performance Monitoring consistently shows 1, that connection is an internal O&M or heartbeat connection, not an external business connection. The used connection count metric includes internal connections such as O&M and heartbeat connections. To distinguish business connections from internal connections, check the session monitoring data.

API reference

API operation Description
DescribeHistoryMonitorValues Queries the performance monitoring history of an instance

What's next

If the monitoring data reveals a performance issue, the following topics can help you diagnose and resolve it: