Docker & Kubernetes — Study Path Agent

Chapter 1

Containers & Linux Fundamentals

1

Linux processes, namespaces, and cgroups (conceptual)

2

Filesystems & images: layers, copy-on-write, and union FS

3

Networking basics: ports, DNS, TCP/UDP, localhost vs 0.0.0.0

4

Linux permissions: users, groups, capabilities, and sudo

5

Resource limits: CPU/memory requests vs limits (concept transfer)

6

Security fundamentals: least privilege and supply-chain basics

Chapter 2

Docker Essentials

7

Install & verify Docker; understand daemon vs client

8

Images vs containers; pull/run/exec/logs basics

9

Write Dockerfiles: base images, WORKDIR, COPY, RUN, CMD/ENTRYPOINT

10

Build optimization: .dockerignore, layer caching, multi-stage builds

11

Persist data: volumes, bind mounts, and container storage lifecycle

12

Docker Compose: multi-container dev environments and overrides

Chapter 3

Kubernetes Core Concepts

13

Cluster architecture: control plane, nodes, kubelet, CNI, CSI

14

Workloads I: Pods, labels, selectors, and health probes

15

Workloads II: Deployments, ReplicaSets, rollouts, and updates

16

Configuration: ConfigMaps, Secrets, env vars, and projected volumes

17

Storage: PersistentVolumes, PVCs, StorageClasses, and access modes

Chapter 4

Hands-on Kubernetes Operations (kubectl & YAML)

18

kubectl essentials: get/describe/logs/exec, contexts, namespaces

19

Write & apply manifests: apiVersion/kind/metadata/spec; dry-run

20

Local clusters: kind/minikube; load images; port-forward; ingress add-ons

21

Package apps with Helm: charts, values, releases, upgrades

Chapter 5

Production Readiness: Security, Reliability, and Observability

22

Observability: logs, metrics, traces; Golden Signals; SLO basics

Chapter 6

Delivery & Platform Engineering (CI/CD, GitOps, Registries)

23

GitOps workflows: desired state, pull-based deploys, drift detection