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Configuring Log Collection via the Console

Last updated: 2022-09-14 17:19:30

    This document describes how to use CRD to configure the log collection feature of TKE Serverless cluster.

    Prerequisites

    Log in to the TKE console, and enable the log collection feature for the serverless cluster. For more information, see Enabling Log Collection.

    Directions

    You can take the following actions to configure after enabling the log collection feature for the cluster:

    Configuring the log rule

    After enabling the log collection, you need to configure the log rules including the log source, consumer end, log parsing method, and so on.

    1. Log in to the TKE console, and select Log Management > Log Collection Rules in the left sidebar.
    2. At the top of the Log Rules page, select the region and the TKE Serverless cluster where you want to configure the log collection rules and click Create, as shown in the figure below:
    3. On the "Create Log Collecting Policy" page, select the collection type and configure the log source, consumer end, log parsing method. Currently, the following collection types are supported: container standard output and container file path.

      Select Container standard output as the collection type, and configure the log source as needed, as shown below:

      This type of log source supports:

      • All containers: all namespaces or all containers under a namespace.
      • Specify workload: the containers of a specified workload under a namespace. You can add multiple namespaces.
      • Specify Pod Labels: specify multiple Pod Labels under a namespace, and collect all containers that match the Labels.
      Note

      For container standard output and container files, besides the original log content, the metadata related to the container or Kubernetes (such as the name of the Pod that generated the logs) will also be reported to the CLS. Therefore, when viewing logs, users can trace the log source or search based on the container identifier or characteristics (such as container name and labels).
      The metadata related to the container or Kubernetes is shown in the table below:

      Field Name Description
      cluster_id The ID of the cluster to which logs belong
      container_name The name of the container to which logs belong
      image_name The image name IP of the container to which logs belong
      namespace The namespace of the Pod to which logs belong
      pod_uid The UID of the Pod to which logs belong
      pod_name The name of the Pod to which logs belong
      pod_ip The IP of the Pod to which logs belong
      pod_lable_{label name} The labels of the Pod to which logs belong (for example, if a Pod has two labels: app=nginx and env=prod, the reported log will have two metadata entries attached: pod_label_app:nginx and pod_label_env:prod).
    4. Configure the CLS as the consumer end. Select the desired logset and log topic. It is recommended to select Auto-create Log Topic, as shown in the figure below:
      Note
      • CLS currently only supports log collection and reporting for intra-region container clusters.
      • The log set and log topic cannot be updated after the log rule is configured.
    5. Click Next and choose a log extraction mode, as shown below:

      Extraction modes

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      Parsing ModeDescriptionRelated Document
      Full text in a single lineA log contains only one line of content, and the line break `\n` to mark the end of a log. Each log will be parsed into a complete string with CONTENT as the key value. When log Index is enabled, you can search for log content via full-text search. The time attribute of a log is determined by the collection time.Full Text in a Single Line
      Full text in multi linesA log with full text in multi lines spans multiple lines and a first-line regular expression is used for match. When a log in a line matches the preset regular expression, it is considered as the beginning of a log, and the next matching line will be the end mark of the log. A default key value, CONTENT, will be set as well. The time attribute of a log is determined by the collection time. The regular expression can be generated automatically.Full Text in Multi Lines
      Single line - full regexThe single-line - full regular expression mode is a log parsing mode where multiple key-value pairs can be extracted from a complete log. When configuring the single-line - full regular expression mode, you need to enter a sample log first and then customize your regular expression. After the configuration is completed, the system will extract the corresponding key-value pairs according to the capture group in the regular expression. The regular expression can be generated automatically.Full Regular Format (Single-Line)
      Multiple lines - full regexThe multi-line - full regular expression mode is a log parsing mode where multiple key-value pairs can be extracted from a complete piece of log data that spans multiple lines in a log text file (such as Java program logs) based on a regular expression. When configuring the multi-line - full regular expression mode, you need to enter a sample log first and then customize your regular expression. After the configuration is completed, the system will extract the corresponding key-value pairs according to the capture group in the regular expression. The regular expression can be generated automatically.Full Regular Format (Multi-Line)
      JSONA JSON log automatically extracts the key at the first layer as the field name and the value at the first layer as the field value to implement structured processing of the entire log. Each complete log ends with a line break `\n`.JSON Format
      SeparatorIn a separator log, the entire log data can be structured according to the specified separator, and each complete log ends with a line break `\n`. When CLS processes separator logs, you need to define a unique key for each separate field. Invalid fields, which are fields that need not be collected, can be left blank. However, you cannot leave all fields blank.Separator Format

      Instructions for automatic regular expression generation

      展开&收起

      When you select Multiple lines - full regex, Single line - full regex, or Multi-line texts, the regular expression can automatically generated based on the log sample.
      Here takes the Single line - full regex as an example:

      1. Click Auto-Generate Regular Expression, as shown below:
      2. In the pop-up window, select the field to be extracted in the log sample, and fill in the key.
      3. Click Confirm to generate the corresponding regular expression of the field, and automatically fill in the extraction result. Repeat this operation until the log is completely extracted.
      Note

      Currently, one log topic supports only one collection configuration. Ensure that all container logs that adopt the log topic can accept the log parsing method that you choose. If you create different collection configurations under the same log topic, the earlier collection configurations will be overwritten.

    6. Enable other features as needed.
      • Enable the filter and configure the rules.
        After the filter is enabled, only the logs that meet the filter rules will be collected. Key supports full matching and the rule supports regex matching. For example, you can set to collect logs containing "ErrorCode = 404".
      • Enable the upload of the log that failed to parse
        After this feature is enabled, all logs that failed to parse (as the “Key”), and the original log content (as the “Value”) are uploaded. When this feature is disabled, the logs that failed to parse will be discarded.
    7. Click *Done to complete the process.

    Updating the log rules

    1. Log in to the TKE console, and select Log Management > Log Collection Rules in the left sidebar.
    2. In the Log Collection Rules page, select the log rule to update, and click Edit Collecting Rule on the right side of the rule, as shown below:
    3. Update the configuration as needed and click Done.
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