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.