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Observability in a container-centric environment presents new challenges for operators due to the increasing number of abstractions and supporting infrastructure. In many cases, organizations can have hundreds of clusters and thousands of services/tasks/pods running concurrently. This post will demonstrate new features in Amazon DevOps Guru to help simplify and expand the capabilities of the operator. The features include grouping anomalies by metric and container cluster to improve context and simplify access and support for additional Amazon CloudWatch Container Insight metrics. An example of these capabilities in action would be that Amazon DevOps Guru can now identify anomalies in CPU, memory, or networking within Amazon Elastic Kubernetes Service (EKS), notifying the operators and letting them more easily navigate to the affected cluster to examine the collected data.

 

https://aws.amazon.com/ko/blogs/devops/automate-container-anomaly-monitoring-of-amazon-elastic-kubernetes-service-clusters-with-amazon-devops-guru/

 

Automate Container Anomaly Monitoring of Amazon Elastic Kubernetes Service Clusters with Amazon DevOps Guru | Amazon Web Service

Observability in a container-centric environment presents new challenges for operators due to the increasing number of abstractions and supporting infrastructure. In many cases, organizations can have hundreds of clusters and thousands of services/tasks/po

aws.amazon.com

 

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