Implementing a logger for security pipelines

Continuously monitoring automated workflows is required to detect errors and performance issues early. In this section, we’ll look at the necessity of implementing logging in our tools. Later, these logs can be utilized to monitor critical metrics, performance indicators, and system health in real time.

Let’s implement a logger in our code:

  # Import necessary libraries
  import logging
  # Configure logging
  logging.basicConfig(filename='automation.log', level=logging.INFO)
  def main():
      # Configure logging
     logger = logging.getLogger(__name__)
     # Example usage     project_name = "Your Project"
     application_name = "Your Application"
     application_url = "https...