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Cloud Monitor:How do I resolve the issue of unexpectedly high traffic over the internal network for ECS instances?

Last Updated:Jun 15, 2026

Identify and resolve unexpectedly high internal network traffic on Elastic Compute Service (ECS) instances monitored in Cloud Monitor.

Problem description

On the Host Monitoring page of the Cloud Monitor console, the inbound internal network traffic for an ECS instance is unexpectedly high, as shown in the following figure.Inbound traffic over the internal network

Cause

ECS instances use a public network interface controller (NIC) to provide services, so internal network usage is typically low. Internal traffic spikes when other ECS instances transmit large amounts of data to the instance.
Note Backend ECS instances of a Server Load Balancer (SLB) instance typically show high internal traffic because SLB communicates with backend instances over the internal network.

If no other ECS instances are transmitting data but internal traffic remains high, the instance may be infected with a virus that causes it to forward a large number of packets. For more information, see Solution.

Solution

Use the following methods to identify the processes consuming internal bandwidth on Linux and Windows instances.
  • Linux
    Note The NetHogs tool is an open source command line interface (CLI), which is similar to the top command in the Linux operating system. The NetHogs tool is used to analyze the real-time bandwidth usage of processes or applications.
    1. Download the NetHogs tool.
    2. Run the following command to install the NetHogs tool:

      yum install nethogs

    3. Run the following command to view the internal bandwidth usage of each process:

      nethogs eth0

      nethogs
  • Windows
    Note If the ECS instance runs Windows Server 2008 or later, you can view the internal bandwidth usage of processes in Resource Monitor.
    1. On the ECS instance, right-click the taskbar and select Task Manager.
    2. On the Process tab of the Task Manager dialog box, view the internal bandwidth usage of processes.