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Docker

Automated distributed tracing and metrics for microservices running in Docker.

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Overview

Dynatrace enables you to seamlessly monitor and trace requests of microservices in your docker containers without changing code, container images or deployments. Consequently, you will get detailed container metrics as well as seamless end-to-end traces and AI-powered anomaly detection for your Kubernetes workloads. In addition, Dynatrace allows you to easily ingest metrics, events and logs from Kubernetes API & cluster for completing the picture on Kubernetes workloads.

Use cases

  • Real-time analysis of Kubernetes cluster, workload, container and platform health incl. out-of-the-box visualisation
  • Optimization of Kubernetes resource utilization
  • Proactive alerting on Kubernetes container resource metrics
  • Automated discovery and distributed tracing for all workloads across Kubernetes environments
  • Kubernetes specific problem detection and root-cause analysis accross complex microservice architectures
  • Integrated analysis and workload troubleshooting with logs in context of traces
  • Security vulnerability detection for Kubernetes workloads and platform
  • GitOps based monitoring as code at scale

Get started

In order to monitor docker containers within your Kubernetes clusters, set up Dynatrace on Kubernetes.

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Customer story KeyBank
“Dynatrace gives us deep visibility into our container-based applications running on Red Hat OpenShift which helps us proactively identify performance and application issues before they impact users.”
John Rzeszotarski
Director of Continuous Delivery and Feedback
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