Kubernetes
Kubernetes Workloads for Service Teams
Move from kubectl curiosity to workload packages teams can operate: probes, quotas, and graceful rollouts.
- Duration
- 8 weeks
- Format
- Blended async plus weekly lab
- Skill focus
- Advanced
- Project intensity
- High
890,000 KRW
Informational tuition reference — no checkout on this static site.
Program narrative
You will package realistic microservices, tune readiness versus liveness, and practice failure injections that mirror noisy neighbors. The capstone is a rollout plan your peers can execute without paging you at midnight.
Included focus areas
- • Workload identities without sharing cluster-admin
- • Horizontal scaling signals tied to app metrics
- • Pod disruption budgets that survive node drains
- • Config and secret layering with rotation hooks
- • NetworkPolicies that read like documentation
- • Resource profiles that survive cost reviews
- • Observability hooks that show up in incident timelines
Outcomes you can show
- Deliver a Helm chart reviewed for safe defaults
- Author a rollout checklist used by another cohort member
- Demonstrate a rollback that preserves customer sessions
Mentor of record
Daniel Okoro
Cloud lab engineer who keeps clusters boring for product squads.
Participant notes
Disruption budgets section changed how we drain nodes. Still wish the service mesh week had one more lab hour.
Straight answers
We include focused study sprints; exam vouchers are not bundled.