Kubernetes cluster and workload monitoring
Use AI and automation to accelerate Kubernetes observability
Dynatrace is the trusted solution for monitoring Kubernetes
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 observability without changing any code.
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.
Makes full-stack, automated monitoring a platform feature
Ensures every app and microservice you deploy is always monitored
Eliminates the need to deploy, configure, and update agents
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.
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
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 Kubernetes nodes
- Requested usage of resources compared to actual usage
- How much additional workload can be deployed per node
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
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.”
See what makes Dynatrace unique
Automatic
Zero-touch configuration, continuous discovery and relationship mapping in real-time, instant answers and precise causation.
Full Stack
Understand all the relationships and interdependencies, top to bottom, from end-user experience to infrastructure health.
AI at the core
Radically different open AI-engine, Davis, processes billions of dependencies for instantly precise answers beyond human capabilities.
Web-scale
Scale-out cloud native architecture, role-based governance for large global teams, and automatic enterprise-wide deployment.
Kubernetes monitoring resources
Enhanced visibility into Kubernetes cluster utilization and health
Cluster owners get the tools to support the teams who rely on them
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Dynatrace strives to automate as many routine customer tasks as possible. That’s why we’re proud to introduce Dynatrace OneAgent Operator.
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Whether you’re running OpenShift or Kubernetes clusters in any environment, this demo is for you. — On-demand webinar
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