Kubernetes monitoring simplified

Harness automation and AI to simplify Kubernetes monitoring at scale

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Kubernetes monitoring simplified screenshot
Kubernetes monitoring simplified screenshot

Dynatrace is the trusted solution for Kubernetes monitoring

CNCF

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What is Kubernetes?


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 logo

Automate full stack Kubernetes monitoring


Dynatrace is the only Kubernetes monitoring solution that provides full stack observability without changing code, container images, or deployments.

Kubernetes overview

Easily monitor any environment


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.

Deploy at speed and scale with the Dynatrace OneAgent Operator


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

  • Smartscape icon

All-in-one Kubernetes observability for infrastructure and apps teams

  • Performance health icon

Health and utilization metrics for every container, pod, node, and cluster

  • AI icon

Automated code-level visibility for microservices and apps

  • Security icon

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.

Kubernetes monitoring dashboard showing aks cloudnative

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

Worker disfunctional

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

Kubernetes monitoring dashboard showing service flow

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.

  • Launch an analysis from a natural starting point with the workloads in mind
  • Identify and diagnose workloads that are being CPU throttled
  • Quickly locate pending or failed pods in your Kubernetes namespaces.

Kubernetes monitoring dashboard showing cloud apps

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

Deploy OneAgent

3

You’re now monitoring your Kubernetes environment

Dynatrace lets us instrument our Kubernetes clusters in the cloud; we just drop it in and have complete visibility.” ”
Sean O’Neil, Chief Architect, Fortune 500 Healthcare organization

See what makes Dynatrace unique


  • Advanced observability

Advanced observability

See it all in-context, including metrics, logs, traces, entity relationships, UX and behavior.

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  • Continuous Automation

Continuous automation

Make it easy with automatic deploy, config, discovery, topology, performance, updates, and more.

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  • AI at the core

AI-assistance

Free your time with precise answers for proactive problem resolution and performance improvements.

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  • Infinity

Cross-team collaboration

Eliminate silos and accelerate teamwork with a single source of truth for your Biz, Dev and Ops teams.

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User experience &
business analytics

Deliver remarkable experiences across every user journey and maximize business KPIs and revenue.

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Play See the magic

Kubernetes monitoring resources


Master Kubernetes with Dynatrace

Only Dynatrace provides observability into every Kubernetes layer from the cloud infrastructure to the workloads.  

Product Blog

PowerDemo: Advanced observability for Kubernetes infrastructure and microservices

Visualize your Kubernetes environment with all the detailed metrics and events you care about — On-demand webinar

Register Now

Kubernetes “How to” workshop

Learn how to get started with Kubernetes monitoring and how to utilize advanced enterprise features. — On-demand webinar

Register Now

How AI observability cuts down Kubernetes Complexity

This podcast from The New Stack Makers dives into monitoring of scaled-out applications on multi-cloud environments.

Podcast

Monitoring of Kubernetes Infrastructure for day 2 operations

How to get to a comprehensive, single-pane of glass approach.
 

Blog Post

Extend visibility into workload and cluster health by leveraging native Kubernetes events

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

Product Blog