Kubernetes for Application Developers
The developer perspective on Kubernetes
Most Kubernetes courses assume you want to run the cluster. This one assumes someone else runs it and you need to get your application working on it reliably. The focus stays on Deployments, Services, ConfigMaps, Secrets, and the debugging workflows developers actually use day to day.
What you will work with
Labs use a local cluster via kind or minikube, so setup takes minutes rather than hours. You will deploy a multi-service application, configure health checks, set resource limits, and practice rolling updates with zero downtime. Each lab comes with a broken starting state so you practice diagnosing problems, not just following happy-path instructions.
Where this fits in a team
Developers working in companies that have already adopted Kubernetes often feel like they are guessing when deployments fail or pods restart unexpectedly. This course gives you enough understanding of how the scheduler, kubelet, and control plane interact to read error messages intelligently and ask the right questions of your platform team.
Prerequisite: familiarity with Docker and basic containerization. You do not need to know Kubernetes at all before starting.
— Cloud infrastructure decisions made without understanding the fundamentals tend to cost far more than the course itself.
The developer perspective on Kubernetes
Most Kubernetes courses assume you want to run the cluster. This one assumes someone else runs it and you need to get your application working on it reliably. The focus stays on Deployments, Services, ConfigMaps, Secrets, and the debugging workflows developers actually use day to day.
What you will work with
Labs use a local cluster via kind or minikube, so setup takes minutes rather than hours. You will deploy a multi-service application, configure health checks, set resource limits, and practice rolling updates with zero downtime. Each lab comes with a broken starting state so you practice diagnosing problems, not just following happy-path instructions.
Where this fits in a team
Developers working in companies that have already adopted Kubernetes often feel like they are guessing when deployments fail or pods restart unexpectedly. This course gives you enough understanding of how the scheduler, kubelet, and control plane interact to read error messages intelligently and ask the right questions of your platform team.
Prerequisite: familiarity with Docker and basic containerization. You do not need to know Kubernetes at all before starting.
Program
Module breakdown
- Module 1 - Containers refresher: Docker basics, image layers, container networking review
- Module 2 - Kubernetes architecture: nodes, pods, control plane components from a developer viewpoint
- Module 3 - Workloads: Deployments, StatefulSets, Jobs, and CronJobs
- Module 4 - Networking: Services, Ingress, DNS inside the cluster
- Module 5 - Configuration: ConfigMaps, Secrets, environment variables, volume mounts
- Module 6 - Observability: kubectl logs, describe, exec, and reading events
- Module 7 - Deployment strategies: rolling updates, blue-green basics, rollback procedures
- Module 8 - Capstone lab: deploy a three-tier application, introduce a fault, diagnose and fix it
Duration
8 weeks
Containers & OrchestrationInvestment
One-time payment, includes all labs
6500 UAH