A company hosts its microservices application on Amazon Elastic Kubernetes Service (Amazon EKS).

[Reference:Logging and monitoring on Amazon EKS, 2. Create a CloudWatch Log Group Metric Filter and Alarm with Anomaly Detection:, Metric Filter:In CloudWatch Logs, define a metric filter to extract specific metrics from the log data. For instance, you can create a filter that counts the number of error messages or specific patterns indicative of anomalies., Reference:Monitoring & Logging Setup of Application Deployed in EKS, Anomaly Detection:Enable CloudWatch Anomaly Detection on the metric to automatically establish a baseline of expected values and detect deviations that may indicate anomalies., Reference:Unlocking Insights: Turning Application Logs into Actionable Metrics, Alarm Configuration:Set up a CloudWatch Alarm using the anomaly detection model as the threshold. This alarm will trigger when the metric deviates from the expected baseline, indicating a potential anomaly., 3. Configure Notifications to the Security Team via Amazon SNS:, SNS Topic:Create an Amazon Simple Notification Service (SNS) topic dedicated to security alerts., Subscription:Subscribe the security team's email addresses or communication channels to the SNS topic to ensure they receive notifications promptly., Alarm Action:Configure the CloudWatch Alarm to publish a message to the SNS topic when it detects an anomaly. This setup ensures that the security team is alerted in near real time whenever an anomaly is detected in the application logs., This solution leverages AWS managed services to provide a scalable and efficient method for real-time anomaly detection and alerting, aligning with AWS best practices for monitoring and security., , , , , ]