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Discover how to dynamically configure `Filebeat` to collect logs from Docker containers, ensuring effective log management and monitoring. --- This video is based on the question https://stackoverflow.com/q/72585925/ asked by the user 'mahdi gadget' ( https://stackoverflow.com/u/14179419/ ) and on the answer https://stackoverflow.com/a/72754486/ provided by the user 'mahdi gadget' ( https://stackoverflow.com/u/14179419/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: solution for filebeat paths Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- A Guide to Configuring Filebeat Paths for Dynamic Docker Logs If you're working with multiple Docker containers, collecting logs can often be a tricky process, especially when container IDs change frequently. Whether you're troubleshooting issues or performing log analysis, having an efficient logging strategy is crucial. In this post, we’ll take a closer look at a common problem developers face while configuring Filebeat to collect logs from Docker containers and how to resolve it effectively. The Problem: Collecting Logs from Changing Container IDs As you manage Docker containers, you might encounter a scenario where you want to collect logs but the container IDs are not static—they can change based on deployments and updates. The initial Filebeat configuration you've set up seems to be running fine, but it looks like you're struggling to collect logs from specific containers dynamically. Your initial filebeat.yml setup appears as follows: [[See Video to Reveal this Text or Code Snippet]] In this configuration, the paths are too broad because they utilize a wildcard (*), or too specific if you try to include a static container ID. The Solution: Utilizing Autodiscover in Filebeat To effectively manage dynamic container logs, we can leverage the autodiscover feature of Filebeat. This allows Filebeat to recognize and adapt to changes in your containers and their logging paths automatically. Updated Configuration The revised filebeat.yml should look like this: [[See Video to Reveal this Text or Code Snippet]] Breakdown of Changes Autodiscover Providers: This feature allows Filebeat to automatically discover running Docker containers. By defining autodiscover.providers, Filebeat can listen for new containers being started or stopped. Condition Contains: The condition checks if the Docker container's image matches a particular name (e.g., logger). This helps narrow down log collection to specific containers that meet your criteria. Dynamic Paths: By utilizing ${data.docker.container.id}, Filebeat can dynamically insert the current container ID into the path, allowing you to collect logs from containers as they spin up without needing to reconfigure. Advantages of Using This Approach Flexibility: This setup allows you to scale your logging infrastructure smoothly, as it automatically accounts for changing container IDs. Specificity: You can target only certain containers based on conditions rather than collecting logs from all containers indiscriminately. Simplicity: The configuration remains clean and manageable, avoiding clutter in your paths. Conclusion With this enhanced configuration, you can efficiently collect logs from dynamic Docker containers using Filebeat. By leveraging the autodiscovery feature, you no longer have to worry about hardcoding container IDs or dealing with static paths. Implementing these changes simplifies your logging strategy and provides you with more robust capabilities to monitor your applications seamlessly. Happy logging!