Log setting

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You can configure the log monitoring related settings in Log Setting. Using the tab at the top, you can use menus for checking the agent settings, determining whether to enable log monitoring, setting the log data retention period and lookup password, registering the log parser, and setting the quick indexes.

Note

• To use the Activate log monitoring function, the Edit Project role is required.

• The Log Edit role allows you to modify the Log Setting menu other than Activate log monitoring.

Starting the log monitoring

At the top, select the Start Log Monitoring tab. If you select the View guide icon and the View plans button, the corresponding guide screen appears.

Set up the agent and enable log monitoring

In the area, check the agent settings, and then click the Activate log monitoring toggle button to set whether or not to enable the log monitoring.

Check Agent Configuration

Check the agent version and settings to start the log monitoring. Select Check Agent Configuration to follow the onscreen instructions.

• Server Monitoring

  Under Apply, check the application guides for each application. See the following guides: Java, PHP, Python, Go.

• DB Monitoring

  Under Apply, check each individual application guide. See the following. According to the instructions, add the settings for the log monitoring target file in whatap.conf.

• Kubernetes Monitoring

  Under Apply, check each individual application guide. See the following.

Activate log monitoring

Select Activate log monitoring to set whether or not to enable the log monitoring.

• If you turn on the toggle button, the log monitoring is enabled. You can try it for free for 15 days from the activation date.
• If you turn off the toggle button, the log monitoring is disabled. Logs are no longer saved.

Log Monitoring Data Setting

In the area, you can see the Log Usage. Furthermore, you can change the settings for Data Retention and Log lookup password.

Data retention period

This is the default data retention period to be applied commonly. If not specified, the default value is 1 day. If you do not set the data retention periods for each category, this data retention period is applied by default. If you set the data retention periods for each category and select Reset, the default data retention period is reset.

Data Retention Per Category

You can specify the log data retention periods for each category. Log Count means the log lines stacked for the period. For example, Today Log Count is the number of log lines accumulated during the day, and Expected Log Count is the number of log lines of the today's log count multiplied by the days of data retention.

You can specify the log data retention period as follows. You can free the space by deleting old data according to the specified period.

• Trial Project

  You can select 1, 2, or 3 days for the data retention period.

• Paid Project

  For the data retention period, you can select one of 1 day, 2 days, 3 days, 4 days, 5 days, 6 days, 7 days, 10 days, 30 days, and 40 days.

• Data size-based billing

  The price differs depending on the data retention period.

  For example, if an average of 2 million log lines per day accumulates and the data retention period is set to 3 days, an average of 6 million log lines is kept on the collection server and subject to billing.

Log lookup password

To enhance security, set the log lookup password. The log lookup password is optional. If you are using a log lookup password, enter the password to go to the log screen.

Note

In case you forgot the password

If you have the Edit Log role, you can modify it with a new password in Log Setting.

Log primary parser setting

At the top of Log Setting, select the Log primary parser setting tab to register and modify the log parser. The log primary parser provides the parsers for GROK and JSON. From the collected logs, the key data that matches the pattern conditions (search key and search value) is extracted. The parsed log keys are used for categorizing log types and indexing to search for specific logs. The parser is required to register for aggregating log occurrence counts by type or quickly finding specific logs.

• GROK: This parsing is based on the regular expression by default. It provides parsing based on the reserved keywords.

• JSON: Batch parsing is provided for the JSON output parts of the logs.

Note

In case of no parsing logic registered, keys for search

category, oid, oname, okind, okineName, @txid, @login, httphost

Note

Reserved words that cannot be registered for the parser

For the following reserved words, indexes are not created even if a parser has been registered.

timestamp, message, pcode, category, content, logContent

Note

For more information about the log parser, see the following.

Setting item

Set value	Description	ETC
Category	Category to apply the pattern to	required
Log detection condition	Enter the search key and search value to be applied as the filter. The pattern is applied only to the log data that meets the log detection conditions. If you do not enter any log detection condition, the pattern is applied to all logs.	optional
Pattern	It is the pattern to parse the log for. Parsing is performed according to the created pattern, and indexes are created. It supports GROK, regular expression syntax.	required

Parser List

If you select the Log primary parser setting tab at the top of Log Setting, you can see the Parser List screen where you can search for registered parsers and add or edit them.

• If you select + Add on the upper right, the Add Parser window appears.

• You can change the order of parser settings by dragging the icon in the Priority column of the parser list.

• Through the parser list's Enable toggle button, you can set whether or not to enable the parser.

• Through the parser list's Edit and Delete icons, you can modify or delete the registered parser.

Parser registration order

At the top of Log Setting, select the Log primary parser setting tab to register and modify the log parser. The following shows the common parser registration procedure.

1. Select + Add. The Add Parser window appears.

2. In the Parser selection window, select a parser. For more information about the registration of each parser and pattern, see the following.

   • GROK Parser and Pattern Registration

   • JSON Parser and Pattern Registration

3. In the Category selection window, select a category or enter it.

4. Select a search key and search value for the log detection condition or directly enter them.

The pattern is applied only to the log data that meets the filter conditions. ***If you do not enter any log detection condition, the pattern is applied to all logs.

1. Enter the pattern.

2. To check whether the pattern is normal, click Simulation and then measure the performance of simulation and pattern.

For more information about the simulation and performance measurement, see the following.

1. If the simulation result is normal, select Add and then register the parser.

Note

When registering the log parser, parsers cannot be registered repeatedly in the same category.

GROK Parser Pattern Registration

The default syntax is %{SYNTAX:SEMANTIC}. For more information about the GROK parser, see the following.

• SYNTAX

  GROK definition pattern.

• SEMANTIC

  It is the key allocated to the parsed data.

  Note

  It is recommended to use combination words in SEMANTIC so that reserved words are not used.

Registering the JSON Format Parser Pattern

If all or part of a log is output in JSON format, you can parse the JSON output through the JSON format parser. To detect the JSON output of the log, the prefix and postfix options are combined to specify which part of the log to be recognized by JSON for parsing. For more information about the JSON parser, see the following.

Option	Description
Prefix	Specify the string before the beginning of JSON string. If not specified, it is identified as a JSON string from the beginning of the log output.
Postfix	Specify the string after the end of JSON string. If not specified, it is identified as a JSON string up to the end of the log output.
Ignore	Specify fields in the JSON output to exclude from key extraction.

• Registration example

  Log

  [2022-10-25 10:15:34:145]...(line feed)
  Request : {"key1":"value1","key2":"value2",...}(line feed)
  Response : {"key3":"value3","key4":"value4",...}

  As in the example, to parse both Request JSON and Response JSON for incoming logs, register the following two patterns.

  • Pattern for request parsing

    Strings between "Request : " and "Response" {"key1":"value1","key2":"value2",...}

  • Pattern for response parsing

    Strings from "Response : " to the end of a log {"key3":"value3","key4":"value4",...}

• JSON custom pattern registration

  If part of a log is output in JSON format, the JSON output can be parsed by a dedicated custom parser. Enter the pattern as follows:

  io.whatap.logsink.parser.JsonFormatParser{}

  To detect the JSON output of the log, the prefix and postfix options are combined to specify which part of the log to be recognized by JSON for parsing.

  Specify an option in {} of JsonFormatParser{}.

  • Registration example

    Log

    [2022-10-25 10:15:34:145]...(line feed)
    Request : {"key1":"value1","key2":"value2",...}(line feed)
    Response : {"key3":"value3","key4":"value4",...}

    As in the example, to parse both Request JSON and Response JSON for incoming logs, register the following two patterns.

    • Pattern for request parsing

      Strings between "Request : " and "Response" {"key1":"value1","key2":"value2",...}

    io.whatap.logsink.parser.JsonFormatParser {prefix:"Request : ",postfix:"Response"}
    • Pattern for response parsing

      Strings from "Response : " to the end of a log {"key3":"value3","key4":"value4",...}

    io.whatap.logsink.parser.JsonFormatParser {prefix: "Response : "}

Parser Simulation

1. Enter a pattern in the parser addition screen, and then select Simulation. The Parser Simulation window appears.

2. Enter the log in the Parser Simulation window.

3. Check the entered log and pattern.

1. Select Simulation and then check whether parsing is successful with the pattern to register.

   • Simulation Success Screen

     

   • Simulation Failure Screen

     

2. When you click Apply Pattern, the pattern that has been entered for the selected parser is applied.

Performance measurement

After successful simulation, click Performance measurement to measure the performance of the parser. After measuring the parser's repetitive parsing time for the string to be simulated, you can check the measurement result on a pop-up as follows:

Parsing success

If a key is generated by registering a parsing logic, the value parsed with the key is added upon log inquiry. As in the following Live Tail menu's example, the parsed key and value are added.

The parsed key can be checked in Live Tail, Log Search, and Log Trend.

Log secondary parser setting

At the top of Log Setting, select the Log secondary parser setting tab to register and modify the log parser. The 4xx, 5xx Status Code Parser and Status Code Success Rate Parser are provided. The log secondary parser can be used if a primary parser such as GROK or JSON has been parsed. By processing the values extracted by the primary parser, the statistics data is generated. Secondary statistics are extracted based on HTTP status codes for the web or API response logs.

• 4xx, 5xx Status Code Parser: The counts are aggregated for abnormal responses.

• Status Code Success Rate Parser: The percentage of abnormal responses to the total number of cases is extracted.

Note

The log secondary parser provides the special purpose secondary parsing function for the primary parsed results. To use the secondary parser, the primary parser must have been registered.

Parser List

If you select the Log secondary parser setting tab at the top of Log Setting, you can see the Parser List screen where you can search for registered parsers and add or edit them.

• If you select + Add on the upper right, the Add Parser window appears.

• You can change the order of parser settings by dragging the icon in the Priority column of the parser list.

• Through the parser list's Enable toggle button, you can set whether or not to enable the parser.

• Through the parser list's Edit and Delete icons, you can modify or delete the registered parser.

Parser registration order

At the top of Log Setting, select the Log secondary parser setting tab to register and modify the log parser. The following shows the common parser registration procedure.

1. Select + Add. The Add Parser window appears.

2. In the Parser selection window, select a parser. For more information about the registration of each parser settings and status codes to exclude, see the following.

   • 4xx, 5xx Status Code Parser Registration of settings and status codes to exclude

   • Status Code Success Rate Parser Registration of settings and status codes to exclude

3. In the Category selection window, select a category or enter it.

4. Select Log detection condition or enter it.

5. Enter the status codes to exclude.

6. Select Add to register a parser.

Registration of status codes to exclude for the 4xx, 5xx status code parser

The 4xx, 5xx Status Code Parser can be used when the status has already been parsed. Additional 4xx and 5xx status codes are parsed using the parsed status. You can create 4xx and 5xx counts with the parsed data. For the status codes to exclude, you can enter or select the 4xx, 5xx status codes. The entered status code is excluded upon parsing the 4xx, 5xx status codes from the logs.

Setting item

Set value	Description	ETC
Category	It is the category to generate the 4xx, 5xx count data.	required
Log detection condition	Enter the search key and search value to be applied as the filter. The 4xx, %xx count data is generated only for the log data that meets the log detection condition. If you do not enter any log detection condition, the data is generated for all logs.	optional
Status codes to exclude	The status codes to exclude upon generation of statistics data. If no entry, the 4xx, 5xx count data is generated for all error status codes that correspond between 4xx and 5xx.	optional

Registration example for the status parser

If the incoming log is {"msg":"message","status":404} and its status is parsed by the GROK parser as shown in the example, it is parsed as status: 404. If you confirm that the status has been normally parsed, register the status codes to exclude by the 4xx, 5xx status code parser.

Data Search

If all parsers have been registered, go to Flex Board and then create the log 4XX, 5XX count widget.

If the widget is created, you can see the following data.

• avg: Average value of the data during the query period

• max: Maximum value of the data during the query period

• recently: Final value of the data during the query period

Registration of status codes to exclude by the status code success rate parser

The status code success rate parser can be used when the status has already been parsed. For more information about status parsing, see the following. Additional 2xx and 3xx status codes are parsed using the parsed status. HTTP request success rate data can be generated using the parsed data. For the status codes to exclude, you can enter or select the 2xx, 3xx status codes. The entered status code is excluded upon parsing the 2xx, 3xx status codes from the logs.

Setting item

Set value	Description	ETC
Category	It is the category to generate the request success rate data.	required
Log detection condition	Enter the search key and search value to be applied as the filter. The request success rate data is generated only for the log data that meets the log detection condition. If you do not enter any log detection condition, the data is generated for all logs.	optional
Status codes to exclude	The status codes to exclude upon generation of request success rate data. If no entry, the request success rate data is generated for all success rate status codes that correspond between 2xx and 3xx.	optional

Data Search

If all parsers have been registered, go to Flex Board and then create the log request success rate widget.

If the widget is created, you can see the following data.

The data above the chart represents statistics for the lookup period. You can select the statistical method with the latest value, maximum value, or average value. The latest value is selected by default.

Fast Index Setting

Select the Fast Index Setting tab at the top of Log Setting. Collecting a large number of logs can significantly decrease the log search performance. The frequently used search conditions are created as index, you can improve the log search performance for quick search. The setting items are as follows:

Set value	Required	Description
Category	Mandatory	Category to be set as fast index
Search Key	Mandatory	Search key for fast index setting
Case insensitive	Option	Whether to be case sensitive
Rule	Mandatory	* must be included at least one.
Enabled	Mandatory	Active or inactive (default value is true)

Importing/exporting log settings

You can save common parser settings and Fast index setting content in JSON file format, and apply them by importing a JSON file from other projects. You can reduce the hassle of creating the settings repeatedly for each project.

1. Add the parser settings and Fast index setting to a project.

2. Select JSON on the upper right of each configuration tab.

3. On the upper right of the Export JSON window, select Export.

4. The JSON configuration file is saved on your PC.

5. Move to another project and then go to the Log > Log setting menu.

6. Select the configuration tab where you have exported the JSON configuration file before, and then select .

7. If the file selection window appears, select the JSON configuration file saved on your PC.

8. If the Import JSON window appears, check the configuration file and then select Add to list or Overwrite.

9. Select Save on the upper right of the screen.

Caution

After importing the JSON configuration file, you cannot save the imported settings unless you select Save.

Log long-term archive statistics

Select the Log long-term archive statistics tab at the top of Log Setting. Log data is so large and difficult to retain for a long time. Using the Set log statistics data function, you can save information on how many logs that meet specific conditions are collected every 5 minutes. Even if actual log data has been deleted for a long time, you can check the trend of how many logs that meet the conditions are collected.

Adding the log long-term archive statistics

If you select + Add under the Log long-term archive statistics tab, the Log long-term archive statistics window appears. You can add rules by using + Add or delete the created rules by using the - icon.

Setting item

Field	Description
Category	Category to apply the rule to
Statistic Key	The same key cannot be set twice to save when a log that meets the rule is generated.
Log detection condition	Condition for generating log statistical data. Statistical data is generated based on how many logs that meet this condition are collected.
Exclude	If checked, statistical data is generated with values that do not correspond to the entered conditions.
Case Sensitive	Specify case sensitivity for the values of the entered log detection conditions.
Enabled	Active or inactive (default value is true)

Example

If a setting is added as follows, statistical data is generated with a key value of TotalCount for the logs whose status is 200 or 300.

Data Search

1. Create a widget by searching Log long-term archive statistics in Widget Templates of Flex Board.

   

2. Enter the category and key to view and then select Apply.

   

3. With the added settings, you can check the _ Log long-term archive statistics_ data as follows.