Kubernetes cluster and workload monitoring

Use AI and automation to accelerate Kubernetes observability

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Dynatrace is the trusted solution for monitoring Kubernetes

CNCF

A truly automated approach to monitoring Kubernetes


Kubernetes is the standard platform for running and managing containerized workloads in distributed environments. There are many container runtimes available now—Docker, CRI-O, containerd, as well as layers running atop of K8s, like Istio and Linkerd service mesh. Dynatrace auto-discovers them all and gives you full visibility without changing any code.

Kubernetes overview

Deploy at speed and scale with the Dynatrace OneAgent Operator


Dynatrace is the only full-stack monitoring platform that provides fully automated, zero-config, distributed tracing, metrics, and code-level visibility into distributed applications without changing code, Docker images, or deployments.

Automate Kubernetes full-stack monitoring


By deploying and managing the Dynatrace OneAgent Operator, the OneAgent becomes a native, first-class citizen of the platform.

Smartscape

Makes full-stack, automated monitoring a platform feature

Monitored

Ensures every app and microservice you deploy is always monitored

Deploy

Eliminates the need to deploy, configure, and update agents

Scale

Monitors 1,000’s of nodes and applications with ease

Monitor your Kubernetes clusters and workloads in minutes


Purpose built for cloud, container, and microservices environments, while also supporting traditional applications and infrastructure, Dynatrace automated deployment will have you up running in minutes.

1

Sign up for the free trial

Start free trial

2

Install the Dynatrace OneAgent Operator

3

You’re now monitoring your Kubernetes environment

Automated distributed tracing


Distributed tracing is about seeing how requests flow through 1,000s of different services. It is key to finding the cause-and-effect relationship of breakdowns or performance issues. While other solutions require manual instrumentation and have limited visibility into containers, Dynatrace provides

  • Real time discovery of all containers and microservices
  • Automated instrumentation of services running inside of containers with zero changes of the code, container images or deployments
  • Code level visibility for fast problem resolution

Kubernetes Service Flow

Cluster health and utilization monitoring


Kubernetes clusters are typically shared across teams. Cluster owners are responsible for providing enough resources and capacity to properly host and run workloads and support the teams who rely on them. Dynatrace provides the needed insights.

  • Cluster health and utilization of nodes
  • Health status of individual nodes
  • Requested usage of resources compared to actual usage
  • How much additional workload can be deployed per node

Cluster utilization

Precise root cause analysis for failing microservices


Davis, the Dynatrace AI engine, is built from the ground up to automatically pinpoint anomalies in highly distributed containerized environments. Real time visibility into containers at start-up combined with semantically enriched log, tracing and real user data are the foundation for Davis to precisely determine the:

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

Worker disfunctional

Daimler AG

We adopted Kubernetes because it would help us accelerate time-to-market, and Dynatrace helps us to do just that. Dynatrace is a great solution that automates the monitoring of Kubernetes workloads at scale and provides AI-powered answers, allowing us to focus our efforts on innovation.”
Felix Gratz, Application Performance Management and System Architecture at Daimler AG

See what makes Dynatrace unique


  • AIOps

Automatic

Zero-touch configuration, continuous discovery and relationship mapping in real-time, instant answers and precise causation.

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  • AIOps

Full Stack

Understand all the relationships and interdependencies, top to bottom, from end-user experience to infrastructure health.

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  • AI at the core

AI at the core

Radically different open AI-engine, Davis, processes billions of dependencies for instantly precise answers beyond human capabilities.

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  • Web-scale

Web-scale

Scale-out cloud native architecture, role-based governance for large global teams, and automatic enterprise-wide deployment.

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Play See the magic

Dynatrace + Kubernetes resources


Enhanced visibility into Kubernetes cluster utilization and health

Cluster owners get the tools to support the teams who rely on them

Product Blog

Dynatrace Monitoring for Kubernetes and OpenShift

Learn the power of out-of-the-box whitebox monitoring
 

Product Blog

Software intelligence for Kubernetes cluster & workload monitoring

All-in-one, AI-powered monitoring of OpenShift applications and infrastructure

Datasheet

Introducing Dynatrace OneAgent Operator

Dynatrace strives to automate as many routine customer tasks as possible. That’s why we’re proud to introduce Dynatrace OneAgent Operator.

Product Blog

Power Demo: Monitoring Kubernetes and OpenShift 4.0

Whether you’re running OpenShift or Kubernetes clusters in any environment, this demo is for you. — On-demand webinar

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Get automated full-stack visibility into your CRI-O Kubernetes containers

Dynatrace extends full-stack capabilities for CRI-O containers and native CRI-O support is now available for all Kubernetes-based platforms

Product Blog