This section provides a comprehensive guide to the logging capabilities of our platform. Logging is crucial for monitoring and troubleshooting your applications.

Logging Overview

Logging allows you to track the events and errors that occur within your application. It helps in understanding the application's behavior and identifying issues.

Key Features

  • Detailed Logs: Capture all the necessary information for debugging.
  • Real-time Monitoring: Monitor logs in real-time to detect and respond to issues quickly.
  • Customizable Log Levels: Adjust the log level to control the amount of information logged.

Getting Started

To get started with logging, follow these steps:

  1. Enable logging in your application configuration.
  2. Configure the log level and format.
  3. Start logging within your application.

Example

Here is a simple example of how to log an error in Python:

import logging

logging.error("An error occurred", exc_info=True)

Advanced Logging

For more advanced logging scenarios, consider the following:

  • Log Rotation: Automatically rotate logs to prevent them from growing indefinitely.
  • Log Aggregation: Aggregate logs from multiple sources for easier analysis.
  • Log Filtering: Filter logs based on specific criteria.

Learn More

For more detailed information, visit our Logging Documentation.

Cloud Computing