Skip to content
This documentation applies to Codacy Self-hosted v12.0.0

For the latest updates and improvements, see the latest Cloud documentation instead.

Logging#

Currently, Codacy Self-hosted supports two types of log configurations:

  • Log level: The severity of the messages that will be shown in logs.
  • Log retention period: The period during which logs will be stored, before being removed by the cleanup job specified in the configuration.

The sections below provide instructions on how to configure each logging configuration.

Configuring the log level#

The log level defines the minimum severity of the events contained in the logs, and affects the necessary storage space in MinIO.

Important

We recommend that you don't use a log level lower than WARN, as the logs are useful to troubleshoot any issues in your Codacy Self-hosted instance.

Codacy supports configuring the log level of the following components:

  • codacy-api
  • engine
  • listener
  • worker-manager

Follow these instructions to configure the log level:

  1. Edit the value of <COMPONENT>.config.logLevel in the values-production.yaml file that is used to install Codacy, as shown in the example below.

    worker-manager:
      replicaCount: 2
      config:
        logLevel: WARN
      resources:
        limits:
          cpu: 500m
          memory: 1000Mi
        requests:
          cpu: 200m
          memory: 200Mi
    

    The list of supported values for logLevel is shown below. Note that each level also prints the information of the levels higher than it:

    • DEBUG (default): Logs detailed information on the flow through the system. This is the most verbose level.
    • INFO: Logs interesting events such as application startup and shutdown, important events on the flow of the system, or behavior that is skipped for expected reasons.
    • WARN: Logs runtime events that are unexpected, or undesirable, but not necessarily wrong such as the use of deprecated APIs.
    • ERROR: Only logs runtime errors, or unexpected conditions that prevent the expected behavior from happening. This is the least verbose level.
  2. Apply the new configuration by performing a Helm upgrade. To do so execute the command used to install Codacy:

    Important

    If you're using MicroK8s you must use the file values-microk8s.yaml together with the file values-production.yaml.

    To do this, uncomment the last line before running the helm upgrade command below.

    helm upgrade (...options used to install Codacy...) \
                 --version 12.0.0 \
                 --values values-production.yaml \
                 # --values values-microk8s.yaml
    

Configuring the log retention period#

The log retention period is the number of days during which logs will be stored before being removed by the MinIO bucket lifecycle configuration policy that we provide in the template lifecycle-police-job.yaml.

Follow these instructions to configure the log retention period:

  1. Adjust the retention period of your logs by editing the value of fluentdoperator.expirationDays in the values.yaml file, as shown in the example below.

    fluentdoperator:
      enabled: true
      defaultConfigmap: codacy-fluentd-config
      bucketName: logs
      expirationDays: 7
    
  2. Apply the new configuration by performing a Helm upgrade. To do so execute the command used to install Codacy:

    Important

    If you're using MicroK8s you must use the file values-microk8s.yaml together with the file values-production.yaml.

    To do this, uncomment the last line before running the helm upgrade command below.

    helm upgrade (...options used to install Codacy...) \
                 --version 12.0.0 \
                 --values values-production.yaml \
                 # --values values-microk8s.yaml
    

Share your feedback 📢

Did this page help you?

Thanks for the feedback! Is there anything else you'd like to tell us about this page?

We're sorry to hear that. Please let us know what we can improve:

Alternatively, you can create a more detailed issue on our GitHub repository.

Thanks for helping improve the Codacy documentation.

If you have a question or need help please contact support@codacy.com.

Last modified May 25, 2023