Section 4: Logging and monitoring.

Does Kubernetes come with a full-featured built-in monitoring solution?

• True

• False

It corresponds to a type of level metrics we can monitor in a Kubernetes cluster:

"Number of nodes in the cluster, performance metrics such as CPU, memory, network and disk utilization."

(a)  

It corresponds to a type of level metrics we can monitor in a Kubernetes cluster:

"Number of PODs, performance metrics such as CPU, memory, etc."

(a)  

"It was one of the original projects that enabled monitoring and analysis features for Kubernetes. It's now deprecated."

• Datadog

• Heapster

• Prometheus

• Elastic Stack

• Dynatrace

The slimmed-down version of (1)______________ was formed known as (2)_____________.

• (2)Datadog

• (1)Heapster

• (1)Prometheus

• (2)Elastic Stack

• (2)Metrics Server

It retrieves metrics from Kubernetes nodes and PODs. It stores metrics in memory.

• Prometheus

• Heapster

• Metrics Server

• Datadog

• Groundcover

It's an in-memory solution. It doesn't store metrics on the disk. We cannot see historical performance data.

• Prometheus

• Heapster

• Metrics Server

• Datadog

• Groundcover

(a)   is a subcomponent of the kubelet that is responsible for retrieving performance metrics from PODs, and expose them to the API Server to make the metrics available for the Metrics Server.

If you're using Minikube, what command would you run to enable the metrics server?

(a)  

For any other environment than Minikube, what are two steps that should be followed to install and enable metrics server?

• 1.Clone the Git repository.

• 2.Create the metrics server POD

• 1.Create a POD definition based on the Git clone

• 2.Deploy required components running kubectl create to the Git cloned

• 1.Create a replica set based on the Git cloned PODs