Скачать или смотреть Fixing Kubernetes Metadata Loading Issues into OpenSearch after EKS Upgrade

Learn how to resolve the issue of Kubernetes metadata not loading into OpenSearch following an EKS upgrade. This guide includes configuration solutions and practical tips for using Filebeat effectively.
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Fixing Kubernetes Metadata Loading Issues into OpenSearch after EKS Upgrade

If you've recently upgraded your EKS cluster and found that your Kubernetes metadata is no longer being loaded into OpenSearch, you’re not alone. This situation can be frustrating, especially when you still see the logs for cloud metadata but fail to retrieve Kubernetes metadata objects like kubernetes.container.name, kubernetes.labels.app, and kubernetes.pod.name. Let’s dive into how to resolve this issue effectively.

Background

After upgrading from EKS cluster version 1.23 to 1.27, many users have reported issues with Filebeat not sending Kubernetes metadata to OpenSearch, despite having the correct configurations in place. The absence of errors in the Filebeat logs further complicates troubleshooting, as it seems like logs are being processed but not enriched with the expected Kubernetes metadata.

Common Configuration Issues

The configuration details within your Filebeat setup are crucial for processing and sending logs properly. In scenarios like this, two common sticking points arise:

Processor Configuration: The add_kubernetes_metadata processor is specifically designed to enrich logs with Kubernetes context. Issues can arise if this processor isn’t functioning as expected due to configurations that prevent it from matching logs correctly.

Inadequate Log Path Specifications: If the log paths specified in your Filebeat configuration do not align with where your Kubernetes pods are writing logs, the processor cannot match and appropriately enrich the logs.

Solution Overview

To tackle this issue, we modified the Filebeat configuration by removing the add_kubernetes_metadata processor completely and instead utilized the dissect processor to parse the log file paths directly. This allowed us to create custom labels for Kubernetes metadata expected in OpenSearch.

Step-by-Step Configuration Changes

Remove the Default Processor

Delete the add_kubernetes_metadata processor from your configuration. This processor might be conflicting with the new Kubernetes version or not able to match the pods properly.

Implement the Dissect Processor

Use the dissect processor to parse the file paths of the logs and to extract metadata. You will define a new configuration that captures necessary Kubernetes metadata and any additional environment variables.

Modify and Add Required Fields

Create custom Kubernetes fields post-dissecting, so OpenSearch can index them correctly.

Example Configuration

Here’s a revised sample of the Filebeat configuration you can implement:

[[See Video to Reveal this Text or Code Snippet]]

Testing the Configuration

After implementing the new configuration:

Restart Filebeat and check logs for any parsing errors.

Validate that Kubernetes metadata is correctly populating in OpenSearch dashboards.

Monitor the kubernetes fields to ensure they reflect expected values based on your pods' labels.

Conclusion

The transition from one version of EKS to another can have unforeseen impacts on your logging infrastructure. However, by systematically adjusting your Filebeat configuration and leveraging the dissect processor, you can restore the flow of Kubernetes metadata into OpenSearch. Keep monitoring your output and adjust as necessary to ensure your logging pipeline remains robust.



By following these steps, you should be able to resolve the issue of Kubernetes metadata not loading into OpenSearch after upgrading your EKS cluster. If you continue to face challenges, consider checking for updates or compatibility notes from both the EKS and Filebeat documentation.