Custom Kubernetes Scheduler with Monitoring Metrics | Sysdig
This article covers the use case of creating a custom Kubernetes scheduler and implements an example using monitoring metrics coming from Sysdig: system, network, services, statsd, JMX or Prometheus metrics. UPDATE: There is a new and more complete implementation of the custom Kubernetes scheduler using Golang. The default Kubernetes scheduler does a fantastic job for most typical workloads. Start
How to monitor etcd
Etcd is the backend store for all the Kubernetes cluster related data. It is undoubtedly a key component in the Kubernetes infrastructure. Monitoring etcd properly is of vital importance because if you fail to observe the Kubernetes etcd, you’ll probably fail to prevent issues too. In that case, you can get into some serious trouble. If the etcd quorum is lost, and the etcd consequently cluster fa
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