DevOps with Docker and Kubernetes

What you’ll learn

• Build lean images

  Write Dockerfiles that cache well and produce small, reproducible images.

• Run workloads on Kubernetes

  Deployments, services, ingress, and configuration, without cargo-culting YAML.

• Automate delivery

  Build a pipeline that tests, builds, and rolls out — and rolls back when it should.

• Operate what you deployed

  Monitor, scale, and debug a running cluster with limits that make sense.

1. 1Containers and ImagesWhat a container actually is, and how to build images that are small, fast, and reproducible.28m 5s

   1. Lesson 1.11.1Images, containers, and DockerfilesFree preview
      18m 20s
   2. Lesson 1.21.2Layers, caching, and multi-stage builds
      6m 31s
   3. Lesson 1.31.3Local stacks with Compose
      3m 14s
2. 2Kubernetes Core ObjectsThe handful of objects you need before any of the rest of Kubernetes makes sense.29m 3s

   1. Lesson 2.12.1Pods, ReplicaSets, and Deployments
      6m 28s
   2. Lesson 2.22.2Services and ingress
      5m 41s
   3. Lesson 2.32.3ConfigMaps and Secrets
      16m 54s
3. 3Continuous DeliveryThe automated path from a merged commit to running code, including the way back.37m 23s

   1. Lesson 3.13.1Building a CI/CD pipeline
      6m 13s
   2. Lesson 3.23.2Rolling deploys and rollbacks
      8m 44s
   3. Lesson 3.33.3Packaging with Helm
      22m 26s
4. 4Operating a ClusterLife after the first deploy: visibility, scaling, and debugging what is actually running.1h 5m

   1. Lesson 4.14.1Monitoring and logs
      31m 48s
   2. Lesson 4.24.2Autoscaling workloads
      28m 5s
   3. Lesson 4.34.3Resource limits and troubleshooting
      5m 8s