Custom logging improves monitoring in AWS by filtering logs for critical events, sending alerts to Slack, and storing data in DynamoDB for audits. AWS Lambda processes logs from CloudWatch based on defined markers like [CRITICAL] or [ALERT]. Alerts are delivered immediately to Slack channels, enhancing team communication during incidents. The modular architecture allows separation of concerns and scalability. This method addresses the shortcomings of CloudWatch, where critical errors may go unnoticed, thus improving incident response and compliance for AWS-based applications.
Effective logging is critical for monitoring and troubleshooting applications deployed on AWS. High log volumes can make it challenging to identify critical issues in CloudWatch.
Integrating logs with team communication tools like Slack and storing them for audits can streamline incident response and compliance. The architecture uses AWS Lambda to filter logs with specific markers.
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