Kubernetes monitoring simplified
Harness automation and AI to simplify Kubernetes monitoring at scale
Dynatrace is the trusted solution for Kubernetes monitoring
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.
Automate full stack Kubernetes monitoring
Dynatrace is the only Kubernetes monitoring solution that provides full stack observability without changing code, container images, or deployments.
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.
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.
- 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.
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.
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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.” ”
See what makes Dynatrace unique
Advanced observability
See it all in-context, including metrics, logs, traces, entity relationships, UX and behavior.
Continuous automation
Make it easy with automatic deploy, config, discovery, topology, performance, updates, and more.
AI-assistance
Free your time with precise answers for proactive problem resolution and performance improvements.
Cross-team collaboration
Eliminate silos and accelerate teamwork with a single source of truth for your Biz, Dev and Ops teams.
User experience &
business analytics
Deliver remarkable experiences across every user journey and maximize business KPIs and revenue.
Kubernetes monitoring resources
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 NowKubernetes “How to” workshop
Learn how to get started with Kubernetes monitoring and how to utilize advanced enterprise features. — On-demand webinar
Register NowHow AI observability cuts down Kubernetes Complexity
This podcast from The New Stack Makers dives into monitoring of scaled-out applications on multi-cloud environments.
PodcastMonitoring of Kubernetes Infrastructure for day 2 operations
How to get to a comprehensive, single-pane of glass approach.
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 BlogDynatrace Monitoring for Kubernetes and OpenShift
Learn the power of out-of-the-box whitebox monitoring