Dynatrace extended its Software Intelligence Platform to provide AI-powered observability into the infrastructure layer of Kubernetes environments to include every container, pod, node, and cluster.
This is the latest enhancement to Dynatrace, which already provides automatic distributed tracing and deep code-level insights into applications and microservices running in Kubernetes.
With this release, Dynatrace customers can instantly understand the availability, health, and resource utilization of Kubernetes infrastructure.
Because Kubernetes is highly dynamic, Dynatrace continuously discovers all infrastructure components, microservices, and interdependencies between entities to create and maintain a precise, real-time topology map. Dynatrace’s AI engine, Davis, uses this map to automatically identify and prioritize anomalies, and as needed, enable automatic remediation.
“Dynatrace has always provided the deepest observability for applications and microservices running in Kubernetes,” said Steve Tack, SVP of Product Management, Dynatrace. “We’re now bringing this same AI-powered advanced observability to all layers of Kubernetes infrastructure. Dynatrace gives teams the benefits of an all-in-one platform, with distributed tracing and code-level detail for all Kubernetes apps and microservices, and infrastructure insights, including availability, health, and utilization, across every microservice, container, pod, node, and cluster. As a result, they can build and deploy cloud-native apps and continuously improve customer experiences with greater speed and confidence.”
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