MKE metrics types

MKE metrics types

MKE provides a base set of metrics that gets you into production without having to rely on external or third-party tools. Mirantis strongly encourages, though, the use of additional monitoring to provide more comprehensive visibility into your specific MKE environment.

Metrics types

Metric type

Description

Business

High-level aggregate metrics that typically combine technical, financial, and organizational data to create IT infrastructure information for business leaders. Examples of business metrics include:

  • Company or division-level application downtime

  • Aggregation resource utilization

  • Application resource demand growth

Application

Metrics on APM tools domains (such as AppDynamics and DynaTrace) that supply information on the state or performance of the application itself.

  • Service state

  • Container platform

  • Host infrastructure

Service

Metrics on the state of services that are running on the container platform. Such metrics have very low cardinality, meaning the values are typically from a small fixed set of possibilities (commonly binary).

  • Application health

  • Convergence of Kubernetes deployments and Swarm services

  • Cluster load by number of services or containers or pods

Note

Web UI disk usage (including free space) reflects only the MKE managed portion of the file system: /var/lib/docker. To monitor the total space available on each filesystem of an MKE worker or manager, deploy a third-party monitoring solution to oversee the operating system.