How to manage your Docker Logs with ELK and Fluentd

The text provides a comprehensive guide on managing and analyzing Docker logs, highlighting the challenges of collecting, structuring, and debugging logs from Docker-hosted applications. It discusses the default log monitoring setup, which includes viewing logs via console output or JSON files on disk, and explores more advanced configurations like using the Docker Remote API and changing log drivers for better log management. The document emphasizes the importance of structured logging for better context and queryability and suggests using external systems like Elasticsearch and Kibana for centralized log storage and analysis. Various approaches to logging, such as running a logging agent inside the container, using a sidecar container, or deploying a logging agent on the host machine, are explored to address the complexities of managing logs across multiple Docker containers and servers. Additionally, the text touches on the potential issues of message loss in non-blocking logging modes and provides insights into debugging the Docker Daemon to resolve system-level issues. Overall, the guide serves as a foundational resource for enhancing Docker log management and analysis, offering strategies for scalable and efficient logging practices.