Docker & Kubernetes — Study Path Agent

Chapter 1

Foundations: Containers, Images, and the Cloud-Native Model

1

What containers are (vs VMs), namespaces/cgroups mental model

2

OCI images & registries: layers, tags, digests, pull/push

3

Networking basics: localhost vs container netns, ports, DNS

4

Storage basics: ephemeral FS, volumes, bind mounts, permissions

5

Linux/process basics for debugging containers (signals, PID 1)

6

Resource fundamentals: CPU/memory limits, OOM, throttling

Chapter 2

Docker Essentials (Build, Run, and Ship)

7

Docker CLI workflow: run/exec/logs/cp/ps/inspect

8

Dockerfile fundamentals: FROM, RUN, COPY, CMD/ENTRYPOINT

9

Build best practices: caching, .dockerignore, multi-stage builds

10

Compose for local dev: services, env, networks, depends_on

Chapter 3

Kubernetes Core Concepts (Run Containers at Scale)

11

Cluster architecture: control plane, nodes, kubelet, CNI/CSI (conceptual)

12

Workloads: Deployments, ReplicaSets, StatefulSets, DaemonSets, Jobs

13

Config & secrets: ConfigMaps, Secrets, env vars, projected volumes

14

kubectl basics: get/describe/logs/exec/apply, contexts & namespaces

Chapter 4

Packaging, Delivery, and GitOps

15

YAML & Kubernetes API objects: metadata/spec/status, labels/selectors

16

Helm fundamentals: charts, values, templating, releases

Chapter 5

Operations: Observability, Debugging, and Reliability

17

Observability basics: metrics, logs, traces; golden signals

18

Upgrades & lifecycle: version skew, cluster/node upgrades (conceptual)

Chapter 6

Security and Multi-Tenancy