Awesome! Since you’re diving deep into Kubernetes, here's a roadmap we can follow to master it step-by-step:

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## 🔍 Kubernetes Deep-Dive Learning Path

### 🧱 **1. Core Concepts**
- Pods, Nodes, and Containers ✅
- Deployments, ReplicaSets
- Services (ClusterIP, NodePort, LoadBalancer)
- Namespaces
- Labels & Selectors

### ⚙️ **2. Control Plane Internals**
- kube-apiserver
- kube-scheduler ✅
- kube-controller-manager
- etcd ✅
- kubelet ✅
- kube-proxy ✅

### 📦 **3. Config & Management**
- ConfigMaps & Secrets
- Volumes (emptyDir, hostPath, PVC)
- Probes: liveness, readiness, startup
- Resource requests & limits (CPU/RAM)
- Taints & Tolerations
- Node affinity / pod affinity

### 🔄 **4. Scaling & Updates**
- Horizontal Pod Autoscaler (HPA)
- Vertical Pod Autoscaler (VPA)
- Rolling updates & rollbacks
- Cluster Autoscaler (like with AWS)

### 🔐 **5. Networking & Security**
- CNI plugins (like Flannel, Calico)
- NetworkPolicies
- RBAC (Role-Based Access Control)
- Service Accounts

### 🚀 **6. Advanced Tools & Real-World Setup**
- Helm (package manager for K8s)
- Ingress controllers (Nginx, Traefik)
- Logging & monitoring (Prometheus + Grafana, Loki)
- CI/CD pipelines (ArgoCD, Flux)
- Kustomize for environment configs

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Would you like to go topic-by-topic in this order? Or are you working on a project where we can learn hands-on as we go?