Kubernetes Operational Intelligence

collect metrics, events, and logs

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Sematext’s Kubernetes monitoring is designed for modern, dynamic infrastructures. It provides operational insights by collecting Kubernetes logs, events, and metrics with out of the box metrics charts, searchable logs, ability to correlate logs, metrics, alerts, and more. It utilizes Sematext Docker Agent to extract information from Docker container names, and tags all logs with name space, pod, container, image name, and UID.

Log structure and tagging

Name space
Kubernetes supports multiple virtual clusters backed by the same physical cluster. These virtual clusters are called namespaces
Pod name
The group of containers for your application
Every object created over the whole lifetime of a Kubernetes cluster has a distinct UID
Image name
The name of the container image
Container name
The container name


Metrics aggregated over all nodes displayed in SPM overview
Host / node level
Metrics aggregated per node
Pod level
Metrics aggregated by pod name
Docker Container level
Metrics aggregated for a single container

Having these data extracted and structured makes it easy to slice and dice Kubernetes metrics and logs, build log analytics reports, and quickly narrow down to problematic pods while troubleshooting. Alert rules can be created on both logs and Kubernetes / Docker metrics. All Kubernetes cluster nodes and containers are auto-discovered regardless of where you are running Kubernetes – Google Container Engine, Amazon ECS, Rancher, CoreOS, etc. are all supported.


Kubernetes logs tagged with metadata in Logsene


Host and Container Metrics from the Kubernetes Cluster

Quick Start

  1. Sign up
  2. Create Logsene App for logs and SPM App for metrics
  3. Grab sematext-agent.yml and enter your SPM and Logsene App tokens
  4. Run Sematext Agent as Kubernetes DaemonSet:
    kubectl create -f sematext-agent.yml
  5. You’re done!

Can’t send your metrics or logs to the Cloud?

SPM & Logsene are available for ​On Premises, too!