Resource monitoring best practices in Kubernetes - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of resource monitoring in Kubernetes?

To track the usage of CPU, memory, and other resources by pods and nodes to ensure efficient operation and avoid resource exhaustion.

beginner

Why should you set resource requests and limits for containers in Kubernetes?

Setting requests ensures the scheduler knows how much resource to reserve, and limits prevent containers from using more than allowed, protecting cluster stability.

beginner

What tool is commonly used for monitoring Kubernetes clusters and visualizing metrics?

Prometheus is widely used to collect metrics, and Grafana is used to create dashboards for visualization.

intermediate

How does setting resource limits help prevent the 'noisy neighbor' problem?

Limits prevent one container from consuming excessive resources, which could degrade performance for other containers sharing the same node.

intermediate

What is the benefit of using Horizontal Pod Autoscaler (HPA) in resource monitoring?

HPA automatically adjusts the number of pod replicas based on observed CPU or custom metrics, helping maintain performance under varying loads.

Which Kubernetes resource setting defines the guaranteed minimum CPU or memory for a container?

A Resource request

B Resource limit

C Pod priority

D Node selector

Resource requests specify the minimum resources a container needs, which the scheduler uses to place pods.

What happens if a container exceeds its resource limit in Kubernetes?

A It is throttled or terminated

B It automatically scales up

C It gets more resources from the node

D Nothing, it continues running

Containers exceeding limits can be throttled (CPU) or killed (memory) to protect node stability.

Which tool is best suited for collecting and storing Kubernetes metrics?

A Kubeadm

B Prometheus

C Docker

D Helm

Prometheus is designed for monitoring and storing time-series metrics in Kubernetes.

What is the purpose of setting resource limits in Kubernetes pods?

A To allow unlimited resource usage

B To increase pod startup speed

C To prevent resource overuse by containers

D To define pod network policies

Resource limits prevent containers from using more resources than allowed, protecting cluster health.

How does Horizontal Pod Autoscaler decide to scale pods?

A Based on manual triggers only

B Based on pod age

C Based on node count

D Based on CPU or custom metrics usage

HPA monitors metrics like CPU usage to automatically adjust pod replicas.

Explain why setting resource requests and limits is important in Kubernetes resource monitoring.

Think about how Kubernetes manages resources to keep the cluster stable.

Describe how Prometheus and Grafana work together in Kubernetes monitoring.

One tool gathers data, the other shows it clearly.