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    Configuring Log Collection in Self-Built Kubernetes Cluster in the Console

    Terakhir diperbarui:2024-01-20 17:14:28
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      This document describes how to configure log collection rules in a self-built Kubernetes environment and ship logs to CLS.

      Use Cases

      The self-built Kubernetes log collection feature is a non-Tencent Cloud Kubernetes cluster log collection tool, which can ship logs in the specified paths of cluster services or nodes to CLS. This feature is suitable for users who want to store and analyze service logs in a Kubernetes cluster. You need to manually enable log collection for each cluster, and configure the collection rules. After log collection is enabled for a cluster, the log collection agent runs as a DaemonSet in the cluster, collects logs from the collection source based on the collection source, CLS log topic, and log parsing method configured in the log collection rules, and sends the collected logs to the consumer. Log collection supports the following operations.

      Prerequisites

      You have activated CLS.
      You have installed LogListener in the self-built Kubernetes cluster and deployed it.
      You have configured the target log reporting permission as instructed in Access Policy Templates.

      Directions

      Creating log collection rules

      Configuring self-built Kubernetes collection rules in the CLS console

      Step 1. Select a log topic

      To select a new log topic, perform the following steps: Log in to the CLS console.
      On the left sidebar, click Overview to enter the overview page.
      In the Other Logs section, find self-built Kubernetes cluster collection and click Access Now.
      On the Create Log Topic page, configure the log topic information such as the name and log retention period as needed and click Next.
      To select an existing log topic, perform the following steps: Log in to the CLS console.
      On the left sidebar, click Log Topic and select a log topic to be shipped to enter the log topic management page.
      On the Collection Configuration tab, click Add in the Self-Built Kubernetes Cluster Collection section.

      Step 2. Configure a machine group

      On the Machine Group Management page, select the target machine group and click Next to proceed to collection configuration. For more information, see Machine Group Management.

      Step 3. Configure collection in the self-built Kubernetes cluster

      Log source configuration
      1. Collection rule name: You can enter a custom name for a log collection rule.
      1. Select the collection type and configure the log source. Currently, log collection types include container standard output, container file path, and node file path.
      Standard output logs of a container Log sources include all containers, specified workloads, and specified Pod labels.
      Container file logs
      Log sources include specified workloads and specified Pod labels.
      You can specify a file path or use wildcards for the collection path. For example, when the container file path is /opt/logs/*.log, you can specify the collection path as /opt/logs and the filename as *.log.
      Note:
      For Container file path, the corresponding path cannot be a soft link. Otherwise, the actual path of the soft link will not exist in the collector's container, resulting in log collection failure.
      Node file logs You can specify a file path or use wildcards. For example, when the container file paths for collection are /opt/logs/service1/*.log and /opt/logs/service2/*.log, you can specify the folder of the collection path as /opt/logs/service* and the file name as *.log.
      Metadata configuration Besides the original log content, the metadata related to the container or Kubernetes (such as the ID of the container 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). You can select whether to report such metadata as needed. The metadata related to the container or Kubernetes is as shown below:
      Field
      Description
      container_id
      ID of the container 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_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).
      Note:
      To collect logs with a certain Pod label, you need to manually enter the target label key (or enter multiple ones, each of which ends with a carriage return). Logs will be collected if their label is hit.
      Parsing rule configuration
      1. Configure the collection policy (Full or Incremental).
      Full: Collecting logs from the beginning of the log file.
      Incremental: Collecting logs 1 MB ahead of the end of the log file (for a log file less than 1 MB, incremental collection is equivalent to full collection).
      2. Encoding Mode: It can be UTF-8 or GBK.
      3. Extraction Mode: The following types of extraction modes are supported:
      Parsing Mode
      Description
      Documentation
      Full text in a single line
      A 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 multi lines
      A 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.
      Single line - full regex
      The 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.
      Multiple lines - full regex
      The 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.
      JSON
      A 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`.
      Separator
      Structure the data in a log with the specified separator, and each complete log ends with a line break `\\n`. Define a unique key for each separate field. Leave the field blank if you don’t need to collect it. At least one field is required.
      Filter: LogListener collects only logs that meet the filter rules. Key supports exact match, and Filter Rule supports regular expression matching. For example, you can specify to collect only logs where ErrorCode is 404. You can enable the filter and configure rules as needed.
      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.
      Click Next.

      Step 4. Configure an index

      On the index configuration page, configure the following information:
      Index Status: select whether to enable it.
      Full-Text Index: Select whether to set it to case-sensitive. Full-Text Delimiter: It is "@&()='",;:<>[]{}/ \\n\\t\\r" by default and can be modified as needed.
      Allow Chinese Characters: select whether to enable this feature.
      Key-Value Index: Disabled by default. You can configure the field type, delimiters, and whether to enable statistical analysis according to the key name as needed. To enable key-value index, toggle the switch on.
      Note:
      Index configuration must be enabled first before you can perform searches.
      The modified index rules take effect only for newly written logs. The existing data is not updated.
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