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:Database analysis

Last Updated:Jun 20, 2026

On the Database Analysis page, you can analyze exceptions to understand anomalies in your application.

Prerequisites

In the Container Service for Kubernetes (ACK) console, on the Add-ons page, ensure that the ack-arms-cmonitor add-on is version 4.1.0 or later.

View database analysis

  1. Log on to the ARMS console. In the left-side navigation pane, choose Application Monitoring eBPF > Application List.

  2. In the top navigation bar, select a region.

  3. On the Application List page, click the name of the application.

  4. In the top navigation bar, click Database Analysis.

    • In the quick filter area, you can filter the charts and the database list by database type, database name, and application instance name.

    • The trend chart area displays time-series curves for the database's request count, number of slow calls, and average response time over a specified time range.

      Click the image.png icon. In the pop-up dialog box, you can view the statistics of the metric for a specific time period or compare its statistics for the same time period on different dates. Click the image.png icon to switch between the bar chart and trend chart views.

    • The database list shows the database name, type, and statement, as well as the request count, average response time, and number of slow calls.

      In the database list, you can perform the following actions:

      • Click a database name to view its details. For more information, see Database details.

      • A panel opens on the right that displays an overview of the database, including its request count, average response time, and number of slow calls.

      • Click Traces in the Actions column to view the call's trace details. For more information, see trace analysis.

Database details

Overview

The Overview tab displays SQL statements, request counts, slow call counts, and average response times, along with their time-series curves and distribution.

Trace analysis

The trace analysis feature analyzes stored, full-trace data in real time. You can combine filter conditions and aggregation dimensions to create custom diagnostics for different scenarios. For more information, see trace analysis.

Use the Quick Filter panel on the left to filter by dimensions such as application interface and client IP. The central area displays trend charts for the number of requests, HTTP status code, and average response time. Below the charts is a list of trace details, which includes information such as interface name, IP address, method, status, and duration.

Contact us

If you have any questions about using Application Monitoring eBPF Edition, join the DingTalk group (ID: 35568145) to obtain technical support.