All Products
Search
Document Center

Enterprise Distributed Application Service:Application overview

Last Updated:Mar 11, 2026

When you deploy distributed applications on EDAS, you need a centralized place to check application health, spot performance issues, and trace service dependencies. The Application Overview page in the Enterprise Distributed Application Service (EDAS) console consolidates application status, performance metrics, resource utilization, and service topology into a single view.

From the Application Overview page, you can:

GoalSection
Check application status, cluster, region, and specificationsApplication information
Monitor request volume, response time, errors, and GC activityPerformance metrics
Analyze service request trends and response timesApplication Support Services / Application Dependent Services
Track CPU, memory, and load utilizationSystem Info
Identify slow calls and exceptionsThread Profiling / Statistical Analysis
Visualize upstream and downstream dependenciesTopology tab

Open the Application Overview page

  1. Log on to the EDAS console.

  2. In the left-side navigation pane, choose Application Management > Applications.

  3. In the top navigation bar, select a region, select a microservices namespace from the Microservices Namespace drop-down list, and then select Kubernetes Cluster from the Cluster Type drop-down list.

  4. Click the name of the target application. The Application Overview page appears.

Application information

The top of the Application Overview page displays the following details:

PropertyDescription
Kubernetes clusterCluster where the application is deployed
RegionDeployment region
Cluster typeKubernetes Cluster
StatusCurrent running status
Creation timeWhen the application was created
SpecificationsInstance specifications
Diagnostic reportHealth diagnostic report for the application
Server Load Balancer (SLB)Load balancer settings

Related operations

The following operations are available from this page:

OperationDescription
Manual scalingChange instance specifications
Bind CLB instancesConfigure load balancing
Add a ServiceCreate a Kubernetes Service
Configure a YAML fileEdit the application YAML
Manage the application lifecycleDeploy or roll back the application

Overview tab

The Overview tab provides performance metrics and service health data.

Performance metrics

The following metrics are displayed at the top of the Overview tab. Each metric includes week-on-week and day-on-day comparisons.

MetricDescription
Total RequestsTotal number of incoming requests during the selected period
Average Response TimeMean response time across all requests
Error countNumber of requests that returned errors
Full GCNumber of full garbage collection events
Slow SQLNumber of slow SQL queries detected
ExceptionsNumber of application exceptions
Thread ProfilingThread-level performance profiling data
Performance metrics overview

Application Support Services

Time series curves display the request count and average response time of services that your application provides.

Note

With EDAS Professional Edition or Platinum Edition, click a spike in the curve to start in-depth analysis.

Application Support Services

Application Dependent Services

Time series curves display the request count and average response time of services that your application depends on. Additional curves show the number of associated instances and HTTP status codes.

Application Dependent Services

System Info

Time series curves track CPU utilization, memory usage, and load.

System Info

Thread Profiling

Time series curves and details of slow calls help you pinpoint latency issues.

Thread Profiling

Statistical Analysis

Breakdowns of slow API calls and exception types.

Statistical Analysis

Topology tab

Note

The topology feature is available only for EDAS Professional Edition and Platinum Edition. It is not available for Standard Edition.

The Topology tab shows the upstream and downstream components of your application and the call relationships between them. Use this view to identify performance bottlenecks.

Application topology