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    Configuring Log Collection in Self-Built Kubernetes Cluster via CRD

    마지막 업데이트 시간:2024-01-20 17:14:28
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      Overview

      CLS supports log collection for self-built Kubernetes clusters. Before performing log collection on a self-built Kubernetes cluster, you need to use a custom resource definition (CRD) to define log collection configuration (LogConfig), and deploy Log-Provisioner, Log-Agent, and LogListener on the cluster. If you are a Tencent Kubernetes Engine (TKE) user, you can quickly access and use the CLS service by referring to Enabling log collection.

      Prerequisites

      You have created a cluster of Kubernetes 1.10 or above.
      You have configured TencentCloud API permissions required for self-built Kubernetes log collection. For more information, see Examples of Custom Access Policies.
      You have enabled CLS, created a logset and a log topic, and obtained the log topic ID (topicId). For more information, see Managing Log Topic.
      You have obtained the domain name (CLS_HOST) of the region of your log topic. For details of the CLS domain name list, see Available Regions.
      You have obtained the API key ID (TmpSecretId) and API key (TmpSecretKey) required for CLS authentication. To obtain the API key and API key ID, go to Manage API Key.

      Kubernetes Log Collection Principles

      Log collection on a Kubernetes cluster requires the following:
      LogConfig: CRD of log collection configuration, which defines where logs are collected, how they are parsed, and to which CLS log topic they are shipped after being parsed.
      Log-Agent: component used to listen for changes in LogConfig and containers on nodes and dynamically calculate the actual positions of log files in containers on node hosts.
      Log-Provisioner: component used to synchronize the log collection configuration defined in LogConfig to CLS.
      LogListener: component used to collect log file content from node hosts, parses it, and uploads it to CLS.

      Flowchart

      1. Install LogListener in a self-built Kubernetes cluster
      2. Define the LogConfig object
      3. Create a LogConfig object

      Directions

      Step 1. Install LogListener in a self-built Kubernetes cluster

      First, you need to install the LogListener component in the self-built Kubernetes cluster as instructed here to collect logs to CLS.

      Step 2. Define the LogConfig object

      Define log collection configuration in the LogConfig object via CRD. Run the wget command to download the LogConfig.yaml CRD declaration file, using the master node path /usr/local/ as an example.
      wget https://mirrors.tencent.com/install/cls/k8s/LogConfig.yaml
      The LogConfig.yaml declaration file consists of the following two parts:
      clsDetail: The configuration for shipping to CLS.
      inputDetail: Log source configuration.
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig                               ## Default value
      metadata:
        name: test						      	## CRD resource name, which is unique in the cluster.
      spec:
        clsDetail:							  	## The configuration for shipping to CLS
          ...
        inputDetail:                                ## Log source configuration
          ...

      clsDetail (the configuration for shipping to CLS) field description

        clsDetail:
          # You need to specify the logset and topic names to automatically create a log topic, which cannot be modified after being defined.
          logsetName: test                      	## The name of the CLS logset. If there is no logset with this name, one will be created automatically. If there is such a logset, a log topic will be created under it.
          topicName: test             	   ## The name of the CLS log topic. If there is no log topic with this name, one will be created automatically.
          # Select an existing logset and log topic. If the logset is specified but the log topic is not, a log topic will be created automatically, which cannot be modified after being defined.
          logsetId: xxxxxx-xx-xx-xx-xxxxxxxx  	 ## The ID of the CLS logset. The logset needs to be created in advance in CLS.
          topicId: xxxxxx-xx-xx-xx-xxxxxxxx  	 ## The ID of the CLS log topic. The log topic needs to be created in advance in CLS and not occupied by other collection configurations.
          region: ap-xxx                  	   ## Topic region for cross-region shipping
          # Define the log topic configuration when a log topic is created automatically. The configuration cannot be modified after being defined.
          period: 30					        	## Lifecycle in days. Value range: 1–3600. `3640` indicates permanent storage.
          storageType: hot.             		  ## Log topic storage class. Valid values: `hot` (STANDARD); `cold` (STANDARD_IA). Default value: `hot`.
          HotPeriod: 7                              ## Transition cycle in days. Value range: 1–3600. It is valid only if `storageType` is `hot`.
          partitionCount:                	## The number (an integer) of log topic partitions. Default value: `1`. Maximum value: `10`.
          autoSplit: true					   	## Whether to enable auto-split (Boolen type). Default value: `true`.
          maxSplitPartitions:	10		     	## The maximum number (an integer) of partitions
          tags:                             		## Tag description list. This parameter is used to bind a tag to a log topic. Up to nine tag key-value pairs are supported, and a resource can be bound to only one tag key.
            - key: xxx						  	## Tag key
              value: xxx                        	## Tag value
          # Define collection rules
          logType: json_log  			   		## Log parsing format. Valid values: `json_log` (JSON); `delimiter_log` (separator); `minimalist_log` (full text in a single line); `multiline_log` (full text in multi lines); `fullregex_log` (single line - full regex); `multiline_fullregex_log` (multiple lines - full regex). Default value: `minimalist_log`.
          logFormat: xxx                        	## Log formatting method
          excludePaths:                     		## Collection path blocklist
            - type: File							## Type. Valid values: `File`, `Path`. 
              value: /xx/xx/xx/xx.log           	## The value of `type`
          userDefineRule: xxxxxx             	   ## Custom collection rule, which is a serialized JSON string.
          extractRule: {}                   		## Extraction and filter rule. If `ExtractRule` is set, `LogType` must be set. For more information, see the extractRule description.
          AdvancedConfig:				   		## Advanced collection configuration
            MaxDepth: 1					     	## Maximum number of directory levels
            FileTimeout: 60				     	## File timeout attribute
          # Define index configuration, which cannot be modified then.
          indexs: 							  	## You can customize the index method and field when creating a topic.
            - indexName:   				 		## The field for which to configure the key value or meta field index. You don't need to add the `__TAG__.` prefix to the key of the meta field and can just use that of the corresponding field when uploading a log, as the `__TAG__.` prefix will be automatically added for display in the Tencent Cloud console.
              indexType:  		      			## Field type. Valid values: `long`, `text`, `double`.
              tokenizer:  				  		## Field delimiter. Each character represents a delimiter. Only English symbols and \\n\\t\\r are supported. For `long` and `double` fields, leave it empty. For `text` fields, we recommend that you use @&?|#()='",;:<>[]{}/ \\n\\t\\r\\ as the delimiter.
              sqlFlag:   				   		## Whether the analysis feature is enabled for the field (Boolen)
              containZH: 	       				## Whether Chinese characters are contained (Boolen)
      extractRule description
      Name
      Type
      Required
      Description
      timeKey
      String
      No
      The specified field in the log to be used as the log timestamp. If the configuration is empty, the actual log collection time will be used. time_key and time_format must appear in pairs.
      timeFormat
      String
      No
      Time field format. For more information, see the output parameters of the time format description of the strftime function in C programming language.
      delimiter
      String
      No
      The delimiter for delimited logs, which is valid only if log_type is delimiter_log.
      logRegex
      String
      No
      Full log matching rule, which is valid only if log_type is fullregex_log.
      beginningRegex
      String
      No
      First-line matching rule, which is valid only if log_type is multiline_log or multiline_fullregex_log.
      unMatchUpload
      String
      No
      Whether to upload the logs failed to be parsed. Valid values: true (yes); false (no).
      unMatchedKey
      String
      No
      The key of the log failed to be parsed.
      backtracking
      String
      No
      The size of the data to be rewound in incremental collection mode. Valid values: -1 (full collection); 0 (incremental collection). Default value: -1.
      keys
      Array of String
      No
      The key name of each extracted field. An empty key indicates to discard the field. This parameter is valid only if log_type is delimiter_log, fullregex_log, or multiline_fullregex_log. json_log logs use the key of JSON itself.
      filterKeys
      Array of String
      No
      Log keys to be filtered, which correspond to FilterRegex by subscript.
      filterRegex
      Array of String
      No
      The regex of the log keys to be filtered, which corresponds to FilterKeys by subscript.
      isGBK
      String
      No
      Whether it is GBK-encoded. Valid values: 0 (no); 1 (yes).
      Note: This field may return null, indicating that no valid values can be obtained.

      Log collection rule configuration sample

      Full text in a single line
      Full text in multi lines
      Single line - full regex
      Multiple lines - full regex
      JSON format
      Separator format
      In "full text in a single line" mode, a line is a full log. When CLS collects logs, it uses the line break \\n to mark the end of a log. For easier structural management, a default key value \\_\\_CONTENT\\_\\_ is given to each log, but the log data itself will no longer be structured, nor will the log field be extracted. The time attribute of a log is determined by the collection time.
      Assume that the raw data of a log is as follows:
      Tue Jan 22 12:08:15 CST 2019 Installed: libjpeg-turbo-static-1.2.90-6.el7.x86_64
      A sample of LogConfig configuration is as follows:
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec:
        clsDetail:
          topicId: xxxxxx-xx-xx-xx-xxxxxxxx
          # Single-line log
          logType: minimalist_log
      The data collected to CLS is as follows:
      __CONTENT__:Tue Jan 22 12:08:15 CST 2019 Installed: libjpeg-turbo-static-1.2.90-6.el7.x86_64
      In "full text in multi lines" mode, a log may span multiple lines (such as Java stacktrace), and the line break \\n cannot be used to mark the end of a log. To help CLS distinguish between logs, a first-line regular expression is used for matching. When a line of a log matches the preset regular expression, it is considered as the beginning of the log, and the log ends before the next matching line.
      In the "full text in multi lines" mode, a default key \\_\\_CONTENT\\_\\_ is also set, but the log data itself is not structured, and no log fields are extracted. The time attribute of a log is determined by the collection time.
      Assume that the raw data of a multi-line log is:
      2019-12-15 17:13:06,043 [main] ERROR com.test.logging.FooFactory:
      java.lang.NullPointerException
          at com.test.logging.FooFactory.createFoo(FooFactory.java:15)
          at com.test.logging.FooFactoryTest.test(FooFactoryTest.java:11)
      A sample of LogConfig is as follows:
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec:
        clsDetail:
          topicId: xxxxxx-xx-xx-xx-xxxxxxxx
          # Multi-line log
          logType: multiline_log
          extractRule:
            # Only a line that starts with a date time is considered the beginning of a new log. Otherwise, add the line break `\\n` to the end of the current log.
            beginningRegex: \\d{4}-\\d{2}-\\d{2}\\s\\d{2}:\\d{2}:\\d{2},\\d{3}\\s.+
      The data collected to CLS is as follows:
      __CONTENT__:2019-12-15 17:13:06,043 [main] ERROR com.test.logging.FooFactory:\\njava.lang.NullPointerException\\n    at com.test.logging.FooFactory.createFoo(FooFactory.java:15)\\n    at com.test.logging.FooFactoryTest.test(FooFactoryTest.java:11)
      The "single line - full regex" mode is often used to process structured logs. It parses a full log by extracting multiple key-value pairs based on a regex.
      Assume that the raw data of a log is as follows:
      10.135.46.111 - - [22/Jan/2019:19:19:30 +0800] "GET /my/course/1 HTTP/1.1" 127.0.0.1 200 782 9703 "http://127.0.0.1/course/explore?filter%5Btype%5D=all&filter%5Bprice%5D=all&filter%5BcurrentLevelId%5D=all&orderBy=studentNum" "Mozilla/5.0 (Windows NT 10.0; WOW64; rv:64.0) Gecko/20100101 Firefox/64.0"  0.354 0.354
      A sample of LogConfig is as follows:
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec:
        clsDetail:
          topicId: xxxxxx-xx-xx-xx-xxxxxxxx
          # Full Regex
          logType: fullregex_log
          extractRule:
            # Regular expression, in which the corresponding values will be extracted based on the `()` capture groups
            logRegex: (\\S+)[^\\[]+(\\[[^:]+:\\d+:\\d+:\\d+\\s\\S+)\\s"(\\w+)\\s(\\S+)\\s([^"]+)"\\s(\\S+)\\s(\\d+)\\s(\\d+)\\s(\\d+)\\s"([^"]+)"\\s"([^"]+)"\\s+(\\S+)\\s(\\S+).*
            beginningRegex: (\\S+)[^\\[]+(\\[[^:]+:\\d+:\\d+:\\d+\\s\\S+)\\s"(\\w+)\\s(\\S+)\\s([^"]+)"\\s(\\S+)\\s(\\d+)\\s(\\d+)\\s(\\d+)\\s"([^"]+)"\\s"([^"]+)"\\s+(\\S+)\\s(\\S+).*
            # List of extracted keys, which are in one-to-one correspondence with the extracted values
            keys:  ['remote_addr','time_local','request_method','request_url','http_protocol','http_host','status','request_length','body_bytes_sent','http_referer','http_user_agent','request_time','upstream_response_time']
      The data collected to CLS is as follows:
      body_bytes_sent: 9703
      http_host: 127.0.0.1
      http_protocol: HTTP/1.1
      http_referer: http://127.0.0.1/course/explore?filter%5Btype%5D=all&filter%5Bprice%5D=all&filter%5BcurrentLevelId%5D=all&orderBy=studentNum
      http_user_agent: Mozilla/5.0 (Windows NT 10.0; WOW64; rv:64.0) Gecko/20100101 Firefox/64.0
      remote_addr: 10.135.46.111
      request_length: 782
      request_method: GET
      request_time: 0.354
      request_url: /my/course/1
      status: 200
      time_local: [22/Jan/2019:19:19:30 +0800]
      upstream_response_time: 0.354
      In "multiple lines - full regex" mode, 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. If you don't need to extract key-value pairs, please configure it by referring to the "full text in multi lines" mode.
      Assume that the raw data of a log is as follows:
      [2018-10-01T10:30:01,000] [INFO] java.lang.Exception: exception happened
         at TestPrintStackTrace.f(TestPrintStackTrace.java:3)
         at TestPrintStackTrace.g(TestPrintStackTrace.java:7)
         at TestPrintStackTrace.main(TestPrintStackTrace.java:16)
      A sample of LogConfig is as follows:
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec: 
        clsDetail: 
          topicId: xxxxxx-xx-xx-xx-xxxxxxxx
              # Multiple lines - full regex
              logType: multiline_fullregex_log
              extractRule: 
                # The first-line full regular expression: only a line that starts with a date time is considered the beginning of a new log. Otherwise, add the line break `\\n` to the end of the current log.
                beginningRegex: \\[\\d+-\\d+-\\w+:\\d+:\\d+,\\d+\\]\\s\\[\\w+\\]\\s.*
                # Regular expression, in which the corresponding values will be extracted based on the `()` capture groups
                logRegex: \\[(\\d+-\\d+-\\w+:\\d+:\\d+,\\d+)\\]\\s\\[(\\w+)\\]\\s(.*)
                # List of extracted keys, which are in one-to-one correspondence with the extracted values
                keys: ['time','level','msg']
      Based on the extracted key, the data collected to CLS is as follows:
      time: 2018-10-01T10:30:01,000`
      level: INFO`
      msg: java.lang.Exception: exception happened
         at TestPrintStackTrace.f(TestPrintStackTrace.java:3)
         at TestPrintStackTrace.g(TestPrintStackTrace.java:7)
         at TestPrintStackTrace.main(TestPrintStackTrace.java:16)
      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.
      Assume the raw data of a JSON log is as follows:
      {"remote_ip":"10.135.46.111","time_local":"22/Jan/2019:19:19:34 +0800","body_sent":23,"responsetime":0.232,"upstreamtime":"0.232","upstreamhost":"unix:/tmp/php-cgi.sock","http_host":"127.0.0.1","method":"POST","url":"/event/dispatch","request":"POST /event/dispatch HTTP/1.1","xff":"-","referer":"http://127.0.0.1/my/course/4","agent":"Mozilla/5.0 (Windows NT 10.0; WOW64; rv:64.0) Gecko/20100101 Firefox/64.0","response_code":"200"}
      A sample of LogConfig is as follows:
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec:
        clsDetail:
          topicId: xxxxxx-xx-xx-xx-xxxxxxxx
          # JSON log
          logType: json_log
      The data collected to CLS is as follows:
      agent: Mozilla/5.0 (Windows NT 10.0; WOW64; rv:64.0) Gecko/20100101 Firefox/64.0
      body_sent: 23
      http_host: 127.0.0.1
      method: POST
      referer: http://127.0.0.1/my/course/4
      remote_ip: 10.135.46.111
      request: POST /event/dispatch HTTP/1.1
      response_code: 200
      responsetime: 0.232
      time_local: 22/Jan/2019:19:19:34 +0800
      upstreamhost: unix:/tmp/php-cgi.sock
      upstreamtime: 0.232
      url: /event/dispatch
      xff: -
      For a log in separator format (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.
      Assume the raw data of a log is as follows:
      10.20.20.10 ::: [Tue Jan 22 14:49:45 CST 2019 +0800] ::: GET /online/sample HTTP/1.1 ::: 127.0.0.1 ::: 200 ::: 647 ::: 35 ::: http://127.0.0.1/
      A sample of LogConfig is as follows:
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec:
        clsDetail:
          topicId: xxxxxx-xx-xx-xx-xxxxxxxx
          # Separator log
          logType: delimiter_log
          extractRule:
            # Separator
            delimiter: ':::'
            # List of extracted keys, which are in one-to-one correspondence to the separated fields
            keys: ['IP','time','request','host','status','length','bytes','referer']
      The data collected to CLS is as follows:
      IP: 10.20.20.10
      bytes: 35
      host: 127.0.0.1
      length: 647
      referer: http://127.0.0.1/
      request: GET /online/sample HTTP/1.1
      status: 200
      time: [Tue Jan 22 14:49:45 CST 2019 +0800]

      inputDetail (log source) field description

        inputDetail:
          type: container_stdout   			    	## Log collection type. Valid values: `container_stdout` (container standard output); `container_file` (container file); `host_file` (host file).
          containerStdout:        				 	## Container standard output configuration, which is valid only if `type` is `container_stdout`.
            namespace: default   			 	 	## The Kubernetes namespace of the container to be collected. Separate multiple namespaces by `,`, for example, `default,namespace`. If this field is not specified, it indicates all namespaces. Note that this field cannot be specified if `excludeNamespace` is specified.
            excludeNamespace: nm1,nm2   		   	## The Kubernetes namespace of the container to be excluded. Separate multiple namespaces by `,`, for example, `nm1,nm2`. If this field is not specified, it indicates all namespaces. Note that this field cannot be specified if `namespace` is specified.
            nsLabelSelector: environment in (production),tier in (frontend) ## The namespace label for filtering namespaces
            allContainers: false      			 	## Whether to collect the standard output of all containers in the specified namespace. Note that if `allContainers=true`, you cannot specify `workload`, `includeLabels`, and `excludeLabels` at the same time.
            containerOperator: in                      ## Container selection method. Valid values: `in` (include); `not in` (exclude).
            container: xxx             				## The name of the container to be or not to be collected
            includeLabels:  					   	## The labels of the Pods to be collected. This field cannot be specified if `workload` is specified.
              key: value1   					   	## Pods with multiple values of the same key can be matched. For example, if you enter `environment = production,qa`, Pods with the `production` or `qa` value of the `environment` key will be matched. Separate multiple values by comma. If `excludeLabels` is also specified, Pods in the intersection will be matched.
            excludeLabels:  						   ## The labels of the Pods to be excluded. This field cannot be specified if `workload`, `namespace`, and `excludeNamespace` are specified.
              key2: value2  					   	## Pods with multiple values of the same key can be matched. For example, if you enter `environment = production,qa`, Pods with the `production` or `qa` value of the `environment` key will be excluded. Separate multiple values by comma. If `includeLabels` is also specified, Pods in the intersection will be matched.
            metadataLabels:            				## The Pod labels to be collected as metadata. If this field is not specified, all Pod labels will be collected as metadata.
            - label1
            metadataContainer:					 	## The container environments of the metadata to be collected. If this field is not specified, metadata (`namespace`, `pod_name`, `pod_ip`, `pod_uid`, `container_id`, `container_name`, and `image_name`) of all container environments will be collected.
            - namespace
            customLabels:              				## Custom metadata
              label: l1
            workloads:						 		## The workloads of the specified workload types in the specified namespaces of the containers of the logs to be collected
            - container: xxx    			   		## The name of the container to be collected. If this field is not specified, all containers in the workload Pod will be collected.
              containerOperator: in                      ## Container selection method. Valid values: `in` (include); `not in` (exclude).
              kind: deployment  			   		## Workload type. Valid values: `deployment`, `daemonset`, `statefulset`, `job`, `cronjob`.
              name: sample-app  			   		## Workload name
              namespace: prod   			   		## Workload namespace
      
          containerFile:  				 			## Container file configuration, which is valid only if `type` is `container_file`.
            namespace: default      			   	## The Kubernetes namespace of the container to be collected. You must specify a namespace.	  
            excludeNamespace: nm1,nm2   	       	## The Kubernetes namespace of the container to be excluded. Separate multiple namespaces by `,`, for example, `nm1,nm2`. If this field is not specified, it indicates all namespaces. Note that this field cannot be specified if `namespace` is specified.
            nsLabelSelector: environment in (production),tier in (frontend) ## The namespace label for filtering namespaces
            containerOperator: in                      ## Container selection method. Valid values: `in` (include); `not in` (exclude).
            container: xxx          			   	## The name of the container to be collected. If it is `*`, it indicates the names of all containers to be collected.
            logPath: /var/logs      			   	## Log folder. Wildcards are not supported.
            filePattern: app_*.log 					## Log filename. Wildcards `*` and `?` are supported. `*` indicates to match any number of characters, while `?` indicates to match any single character.
            includeLabels:  					   	## The labels of the Pods to be collected. This field cannot be specified if `workload` is specified.
              key: value1   					   	## The `metadata` will be carried in the log collected based on the collection rule and reported to the consumer. Pods with multiple values of the same key can be matched. For example, if you enter `environment = production,qa`, Pods with the `production` or `qa` value of the `environment` key will be matched. Separate values by comma. If `excludeLabels` is also specified, Pods in the intersection will be matched.
            excludeLabels:  					   	## Pods with the specified labels will be excluded. This field cannot be specified if `workload` is specified.
              key2: value2 							## Pods with multiple values of the same key can be matched. For example, if you enter `environment = production,qa`, Pods with the `production` or `qa` value of the `environment` key will be excluded. Separate multiple values by comma. If `includeLabels` is also specified, Pods in the intersection will be matched.
            metadataLabels:        		        	## The Pod labels to be collected as metadata. If this field is not specified, all Pod labels will be collected as metadata.
            - namespace
            metadataContainer:				     	## The container environments of the metadata to be collected. If this field is not specified, metadata (`namespace`, `pod_name`, `pod_ip`, `pod_uid`, `container_id`, `container_name`, and `image_name`) of all container environments will be collected.
            customLabels:   					   	## Custom metadata
              key: value
            workload:
              container: xxx    	  			 	## The name of the container to be collected. If this field is not specified, all containers in the workload Pod will be collected.
              containerOperator: in                      ## Container selection method. Valid values: `in` (include); `not in` (exclude).
              kind: deployment  				   	## Workload type. Valid values: `deployment`, `daemonset`, `statefulset`, `job`, `cronjob`.
              name: sample-app  					   ## Workload name
              namespace: prod					  	## Workload namespace
      
          hostFile:                					## Node file path, which is valid only if `type` is `host_file`.
            filePattern: '*.log'   					## Log filename. Wildcards `*` and `?` are supported. `*` indicates to match any number of characters, while `?` indicates to match any single character.
            logPath: /tmp/logs     					## Log folder. Wildcards are not supported.
            customLabels:          					## Custom metadata
              label1: v1

      Log source configuration sample

      Standard container output
      Container file
      Host file
      Sample 1: collecting the standard output of all containers in the default namespace
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec:
        inputDetail:
          type: container_stdout
          containerStdout:
            namespace: default
            allContainers: true
       ...
      Sample 2: collecting the container standard output in the Pod that belongs to ingress-gateway deployment in the production namespace
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec:
        inputDetail:
          type: container_stdout
          containerStdout:
            allContainers: false
            workloads:
            - namespace: production
              name: ingress-gateway
              kind: deployment
        ...
      Sample 3: collecting the container standard output in the Pod whose Pod labels contain "k8s-app=nginx" in the production namespace
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec:
        inputDetail:
          type: container_stdout
          containerStdout:
            namespace: production
            allContainers: false
            includeLabels:
              k8s-app: nginx
        ...
      Sample 1: collecting the access.log file in the /data/nginx/log/ path in the NGINX container in the Pod that belongs to ingress-gateway deployment in the production namespace
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec:
        inputDetail:
          type: container_file
          containerFile:
            namespace: production
            workload:
              name: ingress-gateway
              kind: deployment
            container: nginx
            logPath: /data/nginx/log
            filePattern: access.log
        ...
      Sample 2: collecting the access.log file in the /data/nginx/log/ path in the NGINX container in the Pod whose pod labels contain "k8s-app=ingress-gateway" in the production namespace
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec:
        inputDetail:
          type: container_file
          containerFile:
            namespace: production
            includeLabels:
              k8s-app: ingress-gateway
            container: nginx
            logPath: /data/nginx/log
            filePattern: access.log
        ...
      Sample: collecting all .log files in the host path /data/
      apiVersion: cls.cloud.tencent.com/v1
      kind: LogConfig
      spec:
        inputDetail:
          type: host_file
          hostFile:
            logPath: /data
            filePattern: *.log
        ...

      Step 3. Create a LogConfig object

      As the LogConfig.yaml declaration file is defined in Step 2. Define the LogConfig object, you can run the kubectl command to create a LogConfig object based on the file.
      kubectl create -f /usr/local/LogConfig.yaml
      After the deployment for cluster log collection is completed, you can go to CLS console > Search and Analysis to view collected logs.
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