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Sumo Logic

Kubernetes (Beta)

Kubernetes (Beta)
The Sumo Logic Kubernetes App provides visibility into the worker nodes that comprise a cluster, as well as application logs of the worker nodes. The App is a single-pane-of-glass through which you can monitor and troubleshoot container health, replication, load balancing, pod state and hardware resource allocation. The App utilizes Falco events to monitor and detect anomalous container, application, host, and network activity. In conjunction with the Kubernetes App, the AKS Control Plane, GKE C

The Sumo Logic Kubernetes App provides visibility into the worker nodes that comprise a cluster, as well as application logs of the worker nodes. The App is a single-pane-of-glass through which you can monitor and troubleshoot container health, replication, load balancing, pod state and hardware resource allocation. The App utilizes Falco events to monitor and detect anomalous container, application, host, and network activity. In conjunction with the Kubernetes App, the AKS Control Plane, GKE Control Plane, EKS Control Plane, or Kubernetes Control Plane Apps provide visibility into the control plane, including the API server, scheduler, and controller manager.

Kubernetes is a system that automates the deployment, management, scaling, networking, and availability of container-based applications. Kubernetes container-orchestration allows you to easily deploy and manage multi-container applications at scale.

Log and Metric Types

The Sumo Logic App for Kubernetes uses logs and metrics.

Log source:

  • Application Logs

Metrics sources:

  • Node-exporter Metrics - System-level statistics about bare-metal nodes or virtual machine and generates metrics.

  • Kube-state-metrics - Metrics about the state of Kubernetes logical objects, including node status, node capacity (CPU and memory), number of desired/available/unavailable/updated replicas per deployment, pod status (e.g. waiting, running, ready), and containers.

For more information, see this page. Metrics are collected using Prometheus with FluentD.