πŸš€ Career path

DevOps Engineer

Ship code reliably from commit to production.

0 / 24 labs complete

The complete starter kit for a DevOps role. Containers (Docker) for
packaging and deployment. Configuration management (Ansible) for
the infrastructure underneath. Kubernetes for running and scaling
those containers across a fleet. More tracks land on this career
path over time β€” Terraform, CI/CD, observability β€” without breaking
your progress on the earlier ones.

Targets: DevOps / SRE / Platform Engineer

🐳 Docker

Open path β†’
  1. 1. Your First Container πŸ§ͺ Lab Β· 3 steps β—‹
  2. 2. Docker β€” Working with Images πŸ§ͺ Lab Β· 5 steps β—‹
  3. 3. Docker β€” Container Lifecycle πŸ§ͺ Lab Β· 5 steps β—‹
  4. 4. Docker β€” Building Images πŸ§ͺ Lab Β· 5 steps β—‹
  5. 5. Docker β€” Real-World Applications πŸ§ͺ Lab Β· 4 steps β—‹
  6. 6. Docker β€” Networking πŸ§ͺ Lab Β· 4 steps β—‹
  7. 7. Docker β€” Volumes & Storage πŸ§ͺ Lab Β· 4 steps β—‹

βš™οΈ Ansible

Open path β†’
  1. 1. Ansible β€” Architecture & Inventories πŸ§ͺ Lab Β· 5 steps β—‹
  2. 2. Ansible β€” Playbooks, Introduction πŸ§ͺ Lab Β· 5 steps β—‹
  3. 3. Ansible β€” Playbooks, Deep Dive πŸ§ͺ Lab Β· 5 steps β—‹
  4. 4. Ansible β€” Structuring Playbooks πŸ§ͺ Lab Β· 4 steps β—‹
  5. 5. Ansible β€” Creating Modules & Plugins πŸ§ͺ Lab Β· 4 steps β—‹
  6. 6. Ansible β€” Cloud Services & Containers πŸ§ͺ Lab Β· 4 steps β—‹
  7. 7. Ansible β€” Best Practices & Production πŸ§ͺ Lab Β· 4 steps β—‹

☸️ Kubernetes

Open path β†’
  1. 1. What is Kubernetes? (overview) πŸŽ₯ Lecture β—‹
  2. 2. Kubernetes β€” Your First Pod πŸ§ͺ Lab Β· 5 steps β—‹
  3. 3. Deployments β€” scale, roll out, roll back πŸ§ͺ Lab Β· 5 steps β—‹
  4. 4. Services β€” ClusterIP, NodePort, LoadBalancer πŸ§ͺ Lab Β· 5 steps β—‹
  5. 5. Jobs and CronJobs πŸ§ͺ Lab Β· 5 steps β—‹
  6. 6. Horizontal Pod Autoscaling πŸ§ͺ Lab Β· 5 steps β—‹
  7. 7. Persistent volumes and StatefulSets πŸ§ͺ Lab Β· 5 steps β—‹
  8. 8. ConfigMaps and Secrets πŸ§ͺ Lab Β· 5 steps β—‹
  9. 9. Trial-eligible demo lesson πŸŽ₯ Lecture β—‹
  10. 10. Subscriber-only demo lesson πŸŽ₯ Lecture β—‹