KubeVerve

LET'S Be A Technology Expert

Kubernetes Expert Program

Duration: 40 - 45 Hrs

Why Choose Kubernetes Expert Program?

1. Master Docker, Kubernetes, Helm, ArgoCD, Prometheus, Grafana, and ELK with real-world labs.
2. Corporate training ensures end-to-end understanding of containerization, orchestration, and observability.
3. Build enterprise-ready skills for DevOps and Cloud Native transformations.
4. Covers everything from containers to Kubernetes production-grade operations.

About the Program

The Kubernetes Expert Program is an advanced training designed for enterprises and teams adopting cloud native technologies. It starts with Docker fundamentals, dives deep into Kubernetes, and advances into Helm charts, GitOps with ArgoCD, monitoring with Prometheus & Grafana, and log management with ELK. This program prepares professionals for real-world Kubernetes deployments and operations.

Who Should Attend?

DevOps Engineers – automating CI/CD with Kubernetes and Helm.
Cloud Engineers – managing scalable Kubernetes clusters.
Platform & Infra Engineers – designing enterprise-grade container platforms.
Site Reliability Engineers (SREs) – monitoring, scaling, and ensuring uptime.
Software Architects & Developers – deploying microservices with Docker & Kubernetes.

Kubernetes Expert Program Course Content

This program combines Docker, Kubernetes Deep Dive, Helm, and Observability tools.

Module 1: Docker

Docker Engine – installation & basics
Architecture: images, containers, networking, services
Image management (Docker Hub, pull/push, image layers)
Container creation & sample app deployment
Docker networking: host, bridge, null
Docker storage: ephemeral vs persistent, volume types
Backup & restore with docker save/load
Building custom images with Dockerfile
Registry management: DockerHub, GitHub/GitLab
Docker Compose: multi-container app deployments (WordPress + DB)

Module 2: Kubernetes Deep Dive

Kubernetes components & architecture (API server, etcd, kubelet, kube-proxy, etc.)
Cluster deployment with kubeadm
PODs: single/multi-container, initContainers, static Pods
ReplicationController, ReplicaSet, Deployment
DaemonSet & StatefulSet (use cases, scaling, rollout/rollback)
Volumes: ephemeral & persistent (emptyDir, hostPath, PV, PVC, StorageClass)
Services: ClusterIP, NodePort, LoadBalancer
Secrets & ConfigMaps usage
Horizontal Pod Autoscaling (HPA)
Scheduling strategies: affinity, taints, tolerations
Container health checks (liveness, readiness)
RBAC authentication & authorization
Kubernetes Dashboard setup
Tasks: WordPress+DB deployment, Kubernetes upgrades, etcd backup/restore
Extras: Network Policies, Ingress Nginx, CRDs

Module 3: Helm

Helm introduction & basics
Helm setup and usage (repo add, search, install, uninstall)
Create sample Helm chart
Convert YAML to Helm chart
Helm chart packaging & repo creation (GitHub)
Chart deployment from GitHub repo
Release management: history, upgrades, rollback
Debugging Helm charts

Module 4: ArgoCD, Prometheus, Grafana & ELK

ArgoCD – GitOps for Kubernetes
Prometheus – monitoring metrics
Grafana – visualization and dashboards
ELK stack – logging & observability
Installation via Helm charts

Learning Outcomes

Deploy and manage Docker containers & images
Build, scale, and secure Kubernetes clusters
Leverage Helm for application lifecycle management
Implement GitOps with ArgoCD
Monitor & visualize metrics with Prometheus & Grafana
Centralize logs with ELK
Apply DevOps best practices in enterprise Kubernetes environments

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