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STATUS
Sources
ONAP Application Logging Specification v1.2 (Casablanca)#HowtoLog
Issues/Decisions
# | Issue/Decision | Notes | Decision |
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1 | Are the logging guidelines set by the Logging Enhancement Project suitable for a cloud environment? |
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2 | Do we need a second appender for errors? | | Meeting Notes 11/12/20 https://docs.onap.org/projects/onap-logging-analytics/en/latest/Logging_Enhancements_Project/logging_enhancements_project.html#id33 The logging enhancement team has proposed to split the log to multiple files: - debug.log
- audit.log
- metric.log
- error.log
Toine has suggested we follow this approach but exclude error logging.
Before making anymore decisions we will investigate this project as we have some concerns about the logging standards in the logging enhancement project. |
3 | The application should only logs to stdout and not in files? | By doing so we can leverage Kubernetes standard logging design. If logging to files is provided, It would be good to also have a way to disable it to avoid file space management questions on worker nodes or pvc depending where logs files would be kept. For monitoring, it is more complex to operate applications that are each one using specific logs files. By having all applications logging to stdout, all logs can be collected in a common standard way and published and re-used anywhere that is convenient for any operations team (using filebeat or elk stack for example). See https://kubernetes.io/docs/concepts/cluster-administration/logging/
- Whether user will be using Kubernetes / Azure or single manual deployment, features capability should be the same. We should not enforce to use anything specific to achieve the same service solution.
- Many company enforce to have those separate type of log files by security policy. Usually they store the audits logs ones.
With log properties, you always can change the level log. And also alterate/disable the logs appenders at runtime.
| Meeting Notes 11/12/20 Everything a containerized application writes to stdout and stderr is handled and redirected somewhere by a container engine. For example, the Docker container engine redirects those two streams to a logging driver, which is configured in Kubernetes to write to a file in json format. - use a log rotation script - We want the logging to be easily configurable and allow for different implementations on how to collect logs. We will expose this configuration in the helm charts.
- Our default logging will be std out as it is easily configurable.
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4 | Is the file location ok? | ../log/${logName}.log
I think this is ok. Logs will be placed in pods once deployed. I think we will need to set a property in our SpringBootApplication class for the log dir. |
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5 | Disk space | <property name="maxFileSize" value="20MB" /> Once the log reaches this value it is zipped. |
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6 | What kind of message should go with which level for logging? | See 'Summary of each logging level' below Could consider a (CPSException) property that differentiate between error/warning and even fatal if we want? |
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7 | Where exactly to log error, at source or a common central place? | - Prevent same error being logged may times (some duplication might be unavoidable though)
- Consider that REST layer is optional (so that is why the current commit is not a good solution for centralized logging)
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8 | How should we format our logs? | logger.debug("No of Orders " + noOfOrder + " for client : " + client); logger.debug("No of Executions {} for clients:{}", noOfOrder , client); |
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9 | Should we use is log.isDebugEnabled()? | I think we should if the cost of performing the log is expensive - for example if we need to build a parameter in the log |
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10 | What logging framework to use? | We are currently using slf4j |
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11 | What kind of information to log? | - Never log sensitive information as plain text
log all important information that is necessary to debug or troubleshoot a problem if it happens. - Always log decision making statements e.g. the application loads some settings from a preference file and is unable to find the file
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Summary of each logging level
Log Level | Importance |
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Fatal | One or more key business functionalities are not working and the whole system doesn’t fulfill the business functionalities. |
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Error | One or more functionalities are not working, preventing some functionalities from working correctly. |
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Warn | Unexpected behavior happened inside the application, but it is continuing its work and the key business features are operating as expected. |
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Info | An event happened, the event is purely informative and can be ignored during normal operations. |
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Debug | A log level used for events considered to be useful during software debugging when more granular information is needed. |
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Trace | A log level describing events showing step by step execution of your code that can be ignored during the standard operation, but may be useful during extended debugging sessions. |
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Appenders used by ONAP Projects
Types of EELF Logs
EELF guidelines stipulate that an application should output log records to four separate files:
- audit
- metrics
- error
- debug
Excerpt from ONAP Application Logging Specification v1.3 (Frankfurt)
New ONAP Component Checklist
Add this procedure to the Project Proposal Template
By following a few simple rules:
- Your component's output will be indexed automatically.
- Analytics will be able to trace invocation through your component.
Obligations fall into two categories:
- Conventions regarding configuration, line format and output.
- Ensuring the propagation of contextual information.
You must:
- Choose a Logging provider and/or EELF. Decisions, decisions.
- Create a configuration file based on an existing archetype. See 71831758.
- Read your configuration file when your components initialize logging.
- Write logs to a standard location so that they can be shipped by Filebeat for indexing. See 71831758.
- Report transaction state:
- Retrieve, default and propagate RequestID. See 71831758.
- At each invocation of one ONAP component by another:
- Initialize and propagate InvocationID. See 71831758.
- Report INVOKE and SYNCHRONOUS markers in caller.
- Report ENTRY and EXIT markers in recipient.
- Write useful logs!
They are unordered.
Current Log Config
<dependency>
<!-- For logging -->
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
</dependency>
...
logging:
level:
org:
springframework: INFO
<configuration scan="true" debug="false">
<include resource="org/springframework/boot/logging/logback/base.xml" />
<property name="queueSize" value="256" />
<property name="maxFileSize" value="20MB" />
<property name="maxHistory" value="30" />
<property name="totalSizeCap" value="20MB" />
<!-- log file names -->
<property name="logName" value="cps" />
<property name="currentTimeStamp" value="%d{"yyyy-MM-dd'T'HH:mm:ss.SSSXXX",UTC}"/>
<property name="debugPattern"
value="%d{yyyy-MM-dd'T'HH:mm:ss.SSSXXX}|%thread|%X{RequestID}| %logger{50} - %msg%n" />
<appender name="Debug"
class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>../log/${logName}.log</file>
<rollingPolicy
class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
<fileNamePattern>${logName}.%d{yyyy-MM-dd}.%i.log.zip
</fileNamePattern>
<maxFileSize>${maxFileSize}</maxFileSize>
<maxHistory>${maxHistory}</maxHistory>
<totalSizeCap>${totalSizeCap}</totalSizeCap>
</rollingPolicy>
<encoder>
<pattern>${debugPattern}</pattern>
</encoder>
</appender>
<appender name="asyncDebug" class="ch.qos.logback.classic.AsyncAppender">
<queueSize>256</queueSize>
<appender-ref ref="Debug" />
<includeCallerData>true</includeCallerData>
</appender>
<logger name="org.onap.cps" level="DEBUG" additivity="false">
<appender-ref ref="asyncDebug" />
</logger>
<root level="INFO">
<appender-ref ref="asyncDebug" />
</root>
</configuration>
To generate logging add the following parameter and imports
import lombok.extern.slf4j.Slf4j;
@Slf4j
2020-12-09T11:31:51.792Z|qtp1971152916-37|| org.onap.cps.rest.controller.CpsRestController - error message
2020-12-09T11:31:51.792Z|qtp1971152916-37|| org.onap.cps.rest.controller.CpsRestController - debug message
cps.log