All Products
Search
Document Center

Cloud Monitor:Entity details

Last Updated:Jun 17, 2026

After you install an agent for an application, Cloud Monitor 2.0 starts monitoring it. The Entity Details page displays key metrics such as requests, errors, and response time.

Prerequisites

The application must be connected to Cloud Monitor 2.0.

Try the feature

Alibaba Cloud Playground provides a demo environment where you can experience the main features of Cloud Monitor 2.0.

  1. Go to the Playground Demo. The workspace page is displayed by default.

  2. In the navigation pane on the left, choose All Features > Application Observability > Application Monitoring.

View entity details

  1. Log on to the Cloud Monitor 2.0 console, and select a workspace. In the left navigation pane, choose Application Center > Application Observability > Application Insights.

  2. On the Applications page, click the target application, and then click Entity Details in the top navigation bar.

Metrics

Panel

Style

Description

Requests

ticker board

Total number of requests for the application in the specified time period.

Day-over-day: Percentage change in requests compared to the same time period on the previous day.

Errors

ticker board

Total number of errors for the application in the specified time period.

Day-over-day: Percentage change in errors compared to the same time period on the previous day.

Average response time

ticker board

Average response time of the application in the specified time period.

Day-over-day: Percentage change in average response time compared to the same time period on the previous day.

Full GC count

ticker board

Number of Full Garbage Collection (Full GC) events performed by the Java Virtual Machine (JVM) in the specified time period. Frequent Full GCs may indicate a performance issue.

Week-over-week: Percentage change in the full GC count compared to the same time period in the previous week.

Requests

column chart

Trend of application requests over a specified time period, stacked and categorized by call type.

Errors

column chart/trend graph

Errors: Trend of application errors in the specified time period, displayed as a column chart. The left Y-axis represents the number of errors.

Error rate: Trend of the application error rate in the specified time period. The right Y-axis represents the error rate.

Response time

trend graph

Application response time trend over a specified period, including the average, P99, P90, and P75 percentiles.

Instance GC count

trend graph

Trend of Young GC and Full GC events performed by the JVM in the specified time period.

Top services by requests

TOP 5

Top 5 services with the most interface requests in the specified time period.

The call types for these services include:

  • HTTP

  • Dubbo

  • HSF

  • DSF

  • user_method

  • MQ

  • Kafka

  • Server

  • Producer

  • gRPC

  • Thrift

  • Sofa

  • Schedulerx

  • Spring_Scheduled

  • JDK_Timer

  • XXL_Job

  • Quartz

Top services by errors

TOP 5

Top 5 services with the most interface errors in the specified time period.

The call types for these services include:

  • HTTP

  • Dubbo

  • HSF

  • DSF

  • user_method

  • MQ

  • Kafka

  • Server

  • Producer

  • gRPC

  • Thrift

  • Sofa

  • Schedulerx

  • Spring_Scheduled

  • JDK_Timer

  • XXL_Job

  • Quartz

Top services by average response time

TOP 5

Top 5 services with the longest average interface response time in the specified time period.

The call types for these services include:

  • HTTP

  • Dubbo

  • HSF

  • DSF

  • user_method

  • MQ

  • Kafka

  • Server

  • Producer

  • gRPC

  • Thrift

  • Sofa

  • Schedulerx

  • Spring_Scheduled

  • JDK_Timer

  • XXL_Job

  • Quartz

Top instances by full GC count

TOP 5

Top 5 instances with the most Full GC events performed by the JVM in the specified time period.

Panel features

Drill-down analysis

Click the image icon on a trend graph panel to analyze the current metric in more detail.

  • Modify or add query metrics, and then click Execute Query to view the results.

  • Obtain the Prometheus Query Language (PromQL) query for the current metric. You can use this query in Grafana to create custom dashboards.

On the drill-down analysis page, select a data source type such as Metricstore (PromQL) and a time range. Write PromQL statements in the query area. Results can be displayed as a table, time series graph, column chart, stat, pie chart, gauge, or meter chart.

Comparison

  • Click the image icon on a trend graph panel to set a comparison time period.

  • Click the image icon to cancel the metric comparison and restore the initial view.