This n8n workflow automates monitoring of Kubernetes logs by querying Loki for error logs every 5 minutes, parsing and filtering the logs for relevant error messages, deduplicating to avoid spam, and sending concise alerts to a designated Slack channel. It helps DevOps teams maintain proactive oversight of potential issues in their Kubernetes environment without manual intervention.
The workflow begins with a schedule trigger that initiates the process every 5 minutes. It then sends an HTTP request to Loki’s API to retrieve logs from the past 10 minutes that contain error-related patterns. Extracted logs are then parsed to extract key details such as pod name, namespace, container, node, timestamp, and log content.
Next, duplicate alerts are filtered out by normalizing and comparing log entries, ensuring only unique errors are reported. Finally, the workflow sends a formatted Slack message with pertinent information about each error, facilitating rapid response from the team.
This setup is ideal for Kubernetes administrators and DevOps teams seeking an automated, real-time warning system that helps quickly identify and respond to critical issues in their clusters.
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