Log format, structured logging, and log filtering and search
Log format, structured logging, and log filtering and search are crucial components of effective logging practices in microservices architectures. They help in organizing, storing, and analyzing log data to gain insights into system behavior, diagnose issues, and monitor performance. Let’s see how each aspect contributes to logging.
Log format
Let’s start with log format:
- Purpose: Log format defines the structure and content of log messages, making them readable and interpretable by humans and machines.
- Common formats: Use standardized log formats such as JSON, key-value pairs, or structured text to ensure consistency and ease of parsing.
- Fields: Include relevant fields in log messages, such as timestamps, log levels, service names, request IDs, user IDs, and context information.
- Timestamps: Use ISO 8601 format or another standardized format for timestamps to ensure uniformity and compatibility...