Kubernetes monitoring

Manage the health and performance of containerized applications and multi-cloud infrastructure with metrics, traces, and logs in one place.

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Support for the top Kubernetes distributions

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Kubernetes monitoring and beyond. Way, way beyond.

Easily run and monitor your entire Kubernetes environment in one observability, analytics, and security platform.

Manage platform health and performance

Gain full, ongoing visibility into cluster health and:

Continuously discover and monitor Kubernetes nodes and pods
See metrics, events, and logs from Kubernetes pods and nodes in one view
Leverage log analytics to gain container workload insights
Full support of GitOps practices with Monitoring as code
Get automatic, out-of-the-box alerting for Kubernetes

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Optimize resource utilization across workloads

Improve performance and better leverage resources with exploratory and predictive analyses, so you can:

Understand overall cluster resource utilization
Identify workloads consuming the most resources
Determine workloads not getting enough resources and reallocate.

Deliver excellent customer experience and application performance

Solve complex interactions between microservices and your Kubernetes platform, and:

Automatically identify root cause and impact with Davis Causal AI
Continuously discover microservices, end user experience, and Kubernetes workload health.
Visualize requests end-to-end with distributed tracing and code-level profiling
Test the impact of changes with automatic deployment validation

Learn about OpenTelemetry

Ensure Kubernetes security

Empower DevSecOps with cloud-native security solutions and intelligent automation, so you can:

Identify vulnerabilities in production with runtime security analytics
Enable proactive risk mitigation and accelerate remediation with data in context
Detect and block attacks in real-time
Strengthen defense with log audit and forensics

On-demand webinar

Observability Clinic: Mastering Kubernetes Resiliency with Dynatrace

Kubernetes has become the go-to platform for deploying applications in recent years. And while it offers a multitude of impressive features, it also comes with a set of responsibilities and potential challenges – specifically around running scalable and resilient workloads.

That’s why our Observability Clinic addresses two critical production scenarios that have emerged in the context of Kubernetes.

Substantial increase in response time after optimizing the resource allocation of the cluster.
The side-effects of auto-scaling and its impact on other workloads.

Watch this comprehensive guide to understanding and mitigating common challenges faced when utilizing Kubernetes, with a specific focus on observability and efficient autoscaling.