Container Monitoring modes overview (DPS)

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Dynatrace offers in-depth monitoring for containerized environments and the applications running therein.

  • Code Monitoring for real-time code-level data and insights. Code-level analytics are available across the following environments: out-of-the-box with the Dynatrace platform or with native IDE plugins for Visual Studio Code and JetBrains.

This page describes the different container monitoring capabilities and the features that they provide with a DPS subscription.

For information about how usage of a specific capability translates to consumption of your DPS license commit, see

Kubernetes Platform Monitoring

For Kubernetes platform owners, Kubernetes Platform Monitoring offers insights into your Kubernetes clusters. It provides comprehensive insights into resource metrics, events, topology, and alerts to help manage and automate the health and performance of your Kubernetes clusters, workloads, and pods. Plus, it enables optimization of resource utilization across multiple workloads and pods.

A Kubernetes workload is an application that belongs to a Kubernetes namespace. Each workload runs a set of pods (or instances) that consist of a set of running containers. The smallest operational unit that you can deploy and run in Kubernetes is a pod.

Code Monitoring

Code Monitoring allows you to analyze and debug code that is running in your production environments.

Related tags
Dynatrace PlatformInfrastructure Observability