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Container Service for Kubernetes:Collect application logs by using pod environment variables

Last Updated:Jan 08, 2026

Simple Log Service is a one-stop log service of Alibaba Cloud. It allows you to directly collect, consume, deliver, query, and analyze logs in the console. Simple Log Service is hosted in ACK Serverless clusters. You can configure Simple Log Service environment variables in an ACK Serverless cluster to allow Simple Log Service to collect stdout and log files from application pods in the cluster.

Important
  • We recommend that you preferentially use Simple Log Service CustomResourceDefinitions (CRDs) to collect logs. For more information, see Use a Simple Log Service CRD to collect application logs.

  • Do not use Simple Log Service CRDs and environment variables at the same time. This may cause log collection failures.

Step 1: Create an application and configure Simple Log Service to collect application logs

You can create an application by using an image or YAML template that contains log collection configurations based on Simple Log Service. For more information about Simple Log Service, see What is Simple Log Service?

Image

  1. Log on to the ACK console. In the left navigation pane, click Clusters.

  2. On the Clusters page, find the cluster you want to manage and click its name. In the left navigation pane, choose Workloads > Deployments.

  3. In the upper part of the Deployments page, select the namespace where you want to create an application from the Namespace drop-down list. Then, click Create from Image in the upper-right corner of the page.

    1. In the Basic Information step, set the Name, Replicas, and Type parameters. Then, click Next.

    2. In the Container step, set the parameters in the Log Service section.

      Note

      The following table describes only the parameters related to Simple Log Service. For more information about other parameters, see Create a Deployment.

      The following figure is an example.采集配置

      Parameter

      Description

      Collection Configuration

      After modifying a collection configuration, you must manually delete the previous version to avoid duplicate data collection.

      Click Collection Configuration. Set Logstore and Log Path in Container (Can be set to stdout).

      • Logstore: the name of the Logstore that you want to use. The name can contain only lowercase letters, digits, and hyphens (-).

        You can use this parameter to specify the Logstore that stores the collected logs. If the specified Logstore does not exist, the system automatically creates a Logstore in the Simple Log Service project that is associated with the cluster.

      • Log Path in Container (Can be set to stdout): the path from which you want to collect logs. A value of /usr/local/tomcat/logs/catalina.*.log indicates that the log files of a Tomcat application are collected.

        Note

        If you set the value to stdout, stdout and stderr are collected.

      All settings are added as configuration entries to the corresponding Logstore. By default, logs are collected in simple mode (by row). If you want to use other methods to collect logs, log on to the Simple Log Service console and modify the log collection configurations of the project and Logstore. By default, the project uses the k8s-log prefix.

      Custom Tag

      Click Custom Tag. Set Tag Key and Tag Value.

      Each tag is a key-value pair that is appended to the collected log data. You can use custom tags to mark log data. For example, you can use a tag to denote the application version.

    3. After you configure the parameters, click Next to configure advanced settings. For more information about the subsequent steps, see Create a Deployment.

YAML template

  1. Log on to the ACK console. In the left navigation pane, click Clusters.

  2. On the Clusters page, find the cluster you want to manage and click its name. In the left navigation pane, choose Workloads > Deployments.

  3. In the upper part of the Deployments page, select the namespace where you want to create an application from the Namespace drop-down list. Then, click Create from YAML in the upper-right corner of the page.

  4. On the Create page, select a template from the Sample Template drop-down list and modify the template content in the Template code editor based on your requirements. Then, click Create.

    YAML templates comply with the Kubernetes syntax. You can use env to define log collection configurations and custom tags. You must also set the volumeMounts and volumes parameters. Sample pod YAML template:

    apiVersion: v1
    kind: Pod
    metadata:
      name: my-demo
    spec:
      containers:
      - name: my-demo-app
        image: 'registry.cn-hangzhou.aliyuncs.com/log-service/docker-log-test:latest'
        args:
        - -c
        - mkdir -p /log;while true; do echo hello world; date; echo hello sls >> /var/log/test.log; sleep 1;done
        command:
        - /bin/sh
        env:
        ######### Specify environment variables ###########
        - name: aliyun_logs_log-stdout
          value: stdout
        - name: aliyun_logs_log-varlog
          value: /var/log/*.log
        - name: aliyun_logs_mytag1_tags
          value: tag1=v1
        ######### Specify volume mounting parameters. ###########
        volumeMounts:
        - name: volumn-sls-mydemo
          mountPath: /var/log
      volumes:
      - name: volumn-sls-mydemo
        emptyDir: {}

    You can add the following configurations based on your requirements:

    Note

    If you have other requirements on log collection, see Step 2: Configure advanced settings in the env field.

    1. Add log collection configurations and custom tags by using environment variables. All environment variables related to log collection must use aliyun_logs_ as the prefix.

      1. Add log collection configurations in the following format:

        - name: aliyun_logs_log-stdout
          value: stdout
        - name: aliyun_logs_log-varlog
          value: /var/log/*.log

        In the preceding example, two environment variables in the following format are added to the log collection configuration: aliyun_logs_{key}. The {keys} of the environment variables are log-stdout and log-varlog.

        • The aliyun_logs_log-stdout environment variable indicates that a Logstore named log-stdout is created to store the stdout collected from containers. The name of the collection configuration is log-stdout. This way, the stdout of containers is collected to the Logstore named log-stdout.

        • The aliyun_logs_log-varlog environment variable indicates that a Logstore named log-varlog is created to store the collected log files from the /var/log/*.log path. The name of the collection configuration is log-varlog. This way, the log files in the /var/log/*.log path are collected to the Logstore named log-varlog.

      2. Add custom tags in the following format:

        - name: aliyun_logs_mytag1_tags
          value: tag1=v1

        After a tag is added, the tag is automatically appended to the log data that is collected from the container. The value of mytag1 can contain only lowercase letters, digits, and hyphens (-).

    2. If you specify a log path to collect log files other than stdout, you must set the volumeMounts parameter. In the preceding YAML template, the mountPath field in volumeMounts is set to /var/log. This allows Logtail to collect log data from the /var/log/*.log file.

Step 2: Configure advanced settings in the env field

Environment variable-based LoongCollector configuration supports various parameters. You can use environment variables to configure advanced settings to meet your log collection requirements.

Important

You cannot use environment variables to configure log collection in edge computing scenarios.

Variable

Description

Example

Usage note

aliyun_logs_{key}

  • This variable is required. {key} can contain only lowercase letters, digits, and hyphens (-).

  • If the specified aliyun_logs_{key}_logstore does not exist, a logstore named {key} is created.

  • To collect the stdout of a container, set the value to stdout. You can also set the value to a path inside the container to collect the log files.

  • - name: aliyun_logs_catalina
    
      value: stdout
  • - name: aliyun_logs_access-log
    
      value: /var/log/nginx/access.log
  • By default, logs are collected in simple mode. If you want to parse the collected logs, we recommend that you configure the related settings in the Simple Log Service console or by using CRDs.

  • {key} specifies the name of the Logtail configuration. The configuration name must be unique in the Kubernetes cluster.

aliyun_logs_{key}_tags

Optional. This variable is used to add tags to log data. The value must be in the {tag-key}={tag-value} format.

- name: aliyun_logs_catalina_tags

  value: app=catalina

N/A.

aliyun_logs_{key}_project

Optional. The variable specifies a Simple Log Service project. The default project is the one that you specified when you created the cluster.

- name: aliyun_logs_catalina_project

  value: my-k8s-project

The project must be deployed in the same region as Logtail.

aliyun_logs_{key}_logstore

Optional. The variable specifies a Simple Log Service logstore. Default value: {key}.

- name: aliyun_logs_catalina_logstore

  value: my-logstore

N/A.

aliyun_logs_{key}_shard

Optional. The variable specifies the number of shards of the logstore. Valid values: 1 to 10. Default value: 2.

Note

If the logstore that you specify already exists, this variable does not take effect.

- name: aliyun_logs_catalina_shard

  value: '4'

N/A.

aliyun_logs_{key}_ttl

Optional. The variable specifies the log retention period. Valid values: 1 to 3650.

  • To retain log data permanently, set the value to 3650.

  • The default retention period is 90 days.

Note

If the logstore that you specify already exists, this variable does not take effect.

- name: aliyun_logs_catalina_ttl

  value: '3650'

N/A.

aliyun_logs_{key}_machinegroup

Optional. The variable specifies the node group in which the application is deployed. The default machine group is the one in which Logtail is deployed. For more information about how to use this variable, see Collect container logs from an ACK cluster.

- name: aliyun_logs_catalina_machinegroup

  value: my-machine-group

N/A.

aliyun_logs_{key}_logstoremode

Optional. The variable specifies the type of logstore. Default value: standard. Valid values: standard and query.

Note

If the logstore that you specify already exists, this variable does not take effect.

  • standard: Standard logstore. This type of logstore supports the log analysis feature and is suitable for scenarios such as real-time monitoring and interactive analysis. You can use this type of logstore to build a comprehensive observability system.

  • query: Query logstore. This type of logstore supports high-performance queries. The index traffic fee of a Query logstore is approximately half that of a standard logstore. Query logstores do not support SQL analysis. Query logstores are suitable for scenarios in which the amount of data is large, the log retention period is long, or log analysis is not required. If logs are stored for weeks or months, the log retention period is considered long.

  • - name: aliyun_logs_catalina_logstoremode
      value: standard 
  • - name: aliyun_logs_catalina_logstoremode
      value: query 

To use this variable, make sure that the logtail-ds image version is 1.3.1 or later.

  • Custom Requirement 1: Collect Data From Multiple Applications To The Same Logstore

    In this scenario, configure the aliyun_logs_{key}_logstore parameter. The following example shows how to collect stdout from two applications to the stdout-logstore.

    The {key} of Application 1 is set to app1-stdout, and the {key} of Application 2 is set to app2-stdout.

    Configure the following environment variables for Application 1:

    # Configure environment variables
        - name: aliyun_logs_app1-stdout
          value: stdout
        - name: aliyun_logs_app1-stdout_logstore
          value: stdout-logstore

    Configure the following environment variables for Application 2:

    # Configure environment variables
        - name: aliyun_logs_app2-stdout
          value: stdout
        - name: aliyun_logs_app2-stdout_logstore
          value: stdout-logstore
  • Custom Requirement 2: Collect Data From Multiple Applications To Different Projects

    In this scenario, perform the following steps:

    1. Create a machine group in each project and set the custom identifier of the machine group in the following format: k8s-group-{cluster-id}, where {cluster-id} is the ID of the cluster. You can specify a custom machine group name.

    2. Specify the project, logstore, and machine group in the environment variables for each application. The name of the machine group is the same as the one that you create in the previous step.

      In the following example, the {key} of Application 1 is set to app1-stdout, and the {key} of Application 2 is set to app2-stdout. If the two applications are deployed in the same ACK cluster, you can use the same machine group for the applications.

      Configure the following environment variables for Application 1:

      # Configure environment variables
          - name: aliyun_logs_app1-stdout
            value: stdout
          - name: aliyun_logs_app1-stdout_project
            value: app1-project
          - name: aliyun_logs_app1-stdout_logstore
            value: app1-logstore
          - name: aliyun_logs_app1-stdout_machinegroup
            value: app1-machine-group

      Configure the following environment variables for Application 2:

      # Configure environment variables
          - name: aliyun_logs_app2-stdout
            value: stdout
          - name: aliyun_logs_app2-stdout_project
            value: app2-project
          - name: aliyun_logs_app2-stdout_logstore
            value: app2-logstore
          - name: aliyun_logs_app2-stdout_machinegroup
            value: app1-machine-group

Step 3: View logs

  1. Log on to the ACK console. In the left navigation pane, click Clusters.

  2. On the Clusters page, find the cluster you want and click its name. In the left navigation pane, choose Operations > Log Center.

  3. On the Log Center page, click the Application Logs tab and select a Logstore to view the logs of containers.