Lecture Notes

Scheduling

Taints vs Affinity

todo

Resource requirements/limits

todo

DaemonSets

todo

StaticPods

todo

Multiple Schedulers

todo

Below are extra topics that David Flanagan explained in his video, Advanced Kubernetes Scheduling | Kubernetes Deep Dive's.

Topology Spread Constraints

todo

Scheduling Gates (v1.26 alpha)

todo

Dynamic Resource Allocation (v1.26 alpha)

todo

Labs

Converting the generated Deployment to a DaemonSet is easy:

1. Replace Deployment with DaemonSet

2. Remove replicas and strategy

Static Pods

kubectl get po -A -o jsonpath='{..kind}' | grep -o 'Node' | wc -l

kubectl get no
kubectl get po -A | grep '.*-controlplane'

ps -aux | grep config.yaml --color
grep 'static' /var/lib/kubelet/config.yaml

ls /etc/kubernetes/manifests

grep 'image:' /etc/kubernetes/manifests/kube-apiserver.yaml

Solving Practice

Today we had our second session with Muni solving difficult practice questions. It was inspiring to see her dedication when it is still week 2. So in tandem with her sessions, I will try to solve questions from two GitHub Repos containing practice questions of their own. To do that I would need to speed-run the entire course and figure out which questions are ok for the current cohort's progress.

Configuring a new k3d cluster with minimal bash support can be done with Git Bash; however, it was harder than I thought it would be with Lens. Workaround for WSL2.
[TODO: add a note to day1 regarding Lens support]

k3d cluster create --agents=3

Further Reading

• Kubernetes Apply vs. Replace vs. Patch

• Advanced Kubernetes Scheduling | Kubernetes Deep Dive's

• alijahnas/CKA-practice-exercises

• devopshubproject/cka-lab