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Simple Log Service:Create an instance

Last Updated:Apr 02, 2026

Intelligent Anomaly Analysis is used to manage different types of jobs, such as intelligent inspection jobs and text analysis jobs. This topic describes how to create an Intelligent Anomaly Analysis instance.

Important

Starting July 15, 2025 (UTC+8), the intelligent anomaly analysis feature will no longer be available to new users. Existing users can continue to use it.

  1. Scope of impact

    The following core features will be unpublished: intelligent health check, text analytics, and time series forecasting.

  2. Feature Migration Solutions

    The machine learning syntax, scheduled query and analysis (scheduled SQL), and dashboard features of Simple Log Service can fully replace the unpublished features.

Procedure

  1. Log on to the Simple Log Service console.

  2. In the Log Application section, click Intelligent Anomaly Analysis. 88dbc5bf5ca74068050648894663fc03

  3. In the upper-right corner of the Intelligent Anomaly Analysis page, click Create Instance.

  4. In the Create Instance panel, configure the following parameters and click OK.

    Parameter

    Description

    Instance ID

    The ID of the Intelligent Anomaly Analysis instance.

    Instance Name

    The name of the Intelligent Anomaly Analysis instance.

    Instance Description

    The description of the Intelligent Anomaly Analysis instance.

    Role Permissions

    If this is your first time to create an Intelligent Anomaly Analysis instance, you must complete authorization by following the on-screen instructions. You must authorize Simple Log Service to assume the AliyunLogETLRole system role. This way, Simple Log Service can read source data from Logstores or Metricstores.

    You must use an Alibaba Cloud account to complete the authorization. For more information, see Access data using a default role.

What to do next

If you want to use a RAM user to perform operations in Intelligent Anomaly Analysis after the authorization is complete, you must create the following custom policy and attach it to the RAM user. For more information, see Create a custom policy and Grant permissions to a RAM user.

{
    "Version":"1",
    "Statement":[
        {
            "Effect": "Allow",
            "Action": [
                "ram:GetRole",
                "ram:ListRoles"
            ],
            "Resource": "*"
         }
    ]
}