Cloud · Advanced
Kubernetes Workloads
Deployments, services, and observability for containerized line-of-business apps.
Overview
Operate clusters responsibly: resource limits, health probes, and ingress patterns suitable for internal ERP adjacency services.
Features
- Deployment strategies and rollouts
- ConfigMaps and Secrets discipline
- Ingress TLS termination patterns
- HPA basics with realistic CPU profiles
- kubectl debugging workflow
- Helm chart structure lab
- Security contexts and pod policies overview
Outcomes
- Deploy a multi-service sample with ingress
- Tune probes after mentor-guided failure injection
- Document runbook for common pod failures
Reviews
"Probe tuning lab after injected failures—best hour of the course. Ingress TLS section was dense but fair."
FAQ
Cluster access?
Shared lab cluster plus optional local kind setup.
Prerequisites?
DevOps Pipeline Engineering or equivalent experience recommended.
Excluded?
Service mesh installation and mTLS bootstrapping are reading-only.