DevOps Articles

Anomaly Detection in AWS Lambda using Amazon DevOps Guru’s ML-powered insig

Critical business applications are monitored in order to prevent anomalies from negatively impacting their operational performance and availability. This post demonstrates how Amazon DevOps Guru can detect an anomaly following a critical AWS Lambda function deployment and its remediation recommendations to fix such behavior. The architecture diagram shows an AWS SAM stack containing AWS Lambda and Amazon EventBridge resources, as well as Amazon DevOps Guru monitoring the resources in the AWS SAM stack. This anomaly will be identified by Amazon DevOps Guru, which will mark the AWS Lambda function as unhealthy, provide insights into the anomaly, and provide remediation recommendations. After making the changes recommended by Amazon DevOps Guru, we will redeploy the stack and observe Amazon DevOps Guru marking the AWS Lambda function healthy again.