Kubernetes (aka K8s) is an open source platform for managing containerized applications and services. Kubernetes provides a framework to run containers on clusters of physical or virtual machines, which simplifies orchestration in cloud native environments. However, these highly dynamic and distributed environments require a new approach to monitoring Kubernetes infrastructure and applications.

Kubernetes monitoring

Innovate faster with the full potential of Kubernetes and Dynatrace’s advanced observability and intelligent automation

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Dynatrace is the trusted solution for Kubernetes monitoring

Automate full stack Kubernetes observability

Understand microservice dependencies, application performance, platform health, and Kubernetes resource consumption.

Easily run and monitor all your critical Kubernetes environments

Dynatrace monitors native Kubernetes and any managed service like OpenShift, EKS, AKS, GKE, IBM IKS, etc. No matter your cloud platform, container runtime or service mesh layer, no matter if you are running thousands of nodes Dynatrace makes monitoring your Kubernetes infrastructure and workloads simple and brings infrastructure and apps teams together.

Bring Kubernetes platform and application teams together with a single source of truth

By simply running the Dynatrace Operator, observability becomes a native, first-class citizen of your platform.

All-in-one Kubernetes observability for infrastructure and apps teams
Health and utilization metrics for every container, pod, node, and cluster
Automated code-level visibility for microservices and apps
Management zones for enterprise-grade security

Advanced observability for Kubernetes infrastructure

Track the availability, health, and resource utilization of Kubernetes infrastructure including

Cluster resource utilization to ensure business continuity while controlling costs.
Pod and workload overviews to quickly identify unexpected differences in app and microservice instances.
All native Kubernetes events to diagnose common platform problems such as crash loops, failed image pulls, and oom containers.
Instantly visualize your Kubernetes environment with all the detailed metrics and events you care about.

Dynatrace continuously maps the interdependencies between these entities, while Dynatrace’s AI-engine, Davis®, saves additional time and resources by automatically identifying and prioritizing alerts from Kubernetes apps and infrastructure.

AI-powered observability for clusters, pods and microservices

Dynatrace’s AI-engine prioritizes any anomalies in these environments in real time, detailing the precise root cause of issues impacting end users. This saves infrastructure and application teams time and resources and empowers them to collaboratively take action. Dynatrace’s radically different AI determines the:

Functional root cause of a performance or availability problem including code-level visibility
Foundational root cause, that is the deployment or configuration change responsible
Impact to real users and business KPIs

Automated distributed tracing

Other solutions require manual instrumentation and deliver limited visibility into containers, Dynatrace automatically provides

Real time discovery of all containers and microservices
Automated tracing of requests across microservices in pods with zero changes of code, container images or deployments
Code level drill-down for fast problem resolution in production

Intuitive view on Kubernetes workloads

Quickly identify workloads with unexpected replica counts or excessive pod-level resource limits. Identify pending and failed pods in your workloads and filter by namespace and workload type.