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Elastic Container Instance:View ECI instance monitoring metrics

Last Updated:Jun 20, 2026

In the Elastic Container Instance console, you can view monitoring data for your ECI instances, including metrics related to CPU, memory, and network. This topic explains the meaning and calculation methods of ECI monitoring metrics to help you understand how each metric works and support custom development based on this data.

Monitoring metrics overview

When viewing monitoring data for an ECI instance (that is, a container group) in the Elastic Container Instance console, you can filter by time range to view data for a specific hour or real-time data from the past 5 minutes. The following monitoring metrics are available:

  • CPU

    Shows CPU utilization—the percentage of CPU used by the instance, with a maximum of 100%.

  • Memory

    Shows memory utilization—the percentage of memory used by the instance, with a maximum of 100%.

  • Network

    Shows send and receive rates—the average send and receive rates over the specified time window.

  • Disk

    Shows disk partition and space data, as follows:

    • Disk partition data: Includes the system partition and data partition. The data partition refers to the cloud disk partition mounted as a data disk.

    • Disk space data: Includes total disk space, used space, free space, and usage percentage.

To retrieve monitoring data for ECI instances, call the DescribeContainerGroupMetric or DescribeMultiContainerGroupMetric API operations and use the results for custom calculations. When querying monitoring data, the system returns metrics for both the container group and the individual containers within it:

  • The root node Records in the response struct contains overall container group metrics (CPU, memory, network, and disk).

  • The child node Containers in the response struct contains metrics for each individual container (CPU and memory).

For more information, see DescribeContainerGroupMetric and DescribeMultiContainerGroupMetric.

CPU metric calculation

Calling the OpenAPI operation returns the following raw CPU data:

Name

Type

Example value

Description

UsageNanoCores

Long

0

CPU usage during the sampling window (in nanoseconds).

UsageCoreNanoSeconds

Long

70769883

Total historical CPU usage.

Load

Long

0

Average load over the last 10 seconds.

Limit

Long

2000

CPU usage limit (number of CPU cores × 1000).

Calculate CPU-related metrics as follows:

  • CPU core utilization = UsageNanoCores / 109

  • CPU utilization = UsageNanoCores / Limit / 106

Memory metric calculation

Calling the OpenAPI operation returns the following raw memory data:

Name

Type

Example value

Description

AvailableBytes

Long

4289445888

Available memory.

UsageBytes

Long

11153408

Used memory.

Cache

Long

7028736

Cache.

WorkingSet

Long

5521408

Current working set memory usage.

Rss

Long

1593344

Resident Set Size (RSS)—the actual physical memory in use.

Memory utilization = WorkingSet / (WorkingSet + AvailableBytes)

Network metric calculation

Calling the OpenAPI operation returns the following raw network data:

Name

Type

Example value

Description

TxBytes

Long

1381805699

Cumulative bytes sent.

RxBytes

Long

505001954

Cumulative bytes received.

TxErrors

Long

0

Cumulative send errors.

RxErrors

Long

0

Cumulative receive errors.

TxPackets

Long

5158427

Cumulative packets sent.

RxPackets

Long

4800583

Cumulative packets received.

TxDrops

Long

0

Cumulative packets dropped on send.

RxDrops

Long

0

Cumulative packets dropped on receive.

Name

String

eth0

Network interface controller (NIC) name.

Calculate network-related metrics as follows:

  • Network bandwidth rate (bits per second, bps)

    Network bandwidth rate = (Cumulative bytes sent at time B − Cumulative bytes sent at time A) ÷ (seconds between time A and time B) × 8

  • Network throughput (packets per second, pps)

    Network throughput = (Cumulative packets sent at time B − Cumulative packets sent at time A) ÷ (seconds between time A and time B)