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Kubernetes Workshop

Course type: Virtual Classroom / Online Duration: 1 Day Download PDF
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Description

This workshop aims to provide participants with hands-on and in-depth knowledge on storage management, autoscaling mechanisms, node & pod optimization, and advanced scheduling in Kubernetes environments. Throughout the training, real-world scenarios are used to demonstrate how persistent storage solutions, scalability approaches, and high-availability architectures are designed and managed on Kubernetes.

What You Will Learn

  • The core components of Kubernetes storage architecture
  • How to effectively use CSI, PV, PVC, and StorageClass resources
  • Managing persistent storage scenarios using different storage drivers
  • Applying autoscaling mechanisms in appropriate use cases
  • Performing resource optimization at the node and pod levels
  • Building high-availability architectures using scheduling, affinity, and anti-affinity
  • Running databases on Kubernetes and managing failure scenarios

Audience

  • DevOps engineers working with or planning to work with Kubernetes
  • Platform and infrastructure teams
  • Cloud engineers
  • System administrators managing Kubernetes environments
  • Technical teams looking to advance their Kubernetes expertise

Outline

CSI, PV, PVC & StorageClass

  • Introduction to storage and core concepts

  • CSI and its sub-components (Controller, Node Plugin)

  • CSI Drivers

    • AWS EBS / EFS

    • Azure Disk / File

    • GCE Persistent Disk (PD)

    • Ceph

    • NFS

  • PV lifecycle

  • Static vs Dynamic provisioning

  • Volume types, access modes (RWO, RWX, ROX), and Reclaim policies (Retain, Delete)

  • PVC–PV binding process

  • PVC resizing

  • Using PVCs in Pod and Deployment objects

  • VolumeBindingMode types (Immediate vs WaitForFirstConsumer)

Autoscaling Mechanisms

  • Introduction to autoscaling

  • Horizontal Pod Autoscaler (HPA)

  • Vertical Pod Autoscaler (VPA)

  • Cluster Autoscaler

Node, Pod & Network Optimization

  • Node sizing

  • Node taints and tolerations

  • CPU & Memory resource limits

  • Pod distribution strategies

  • Kubernetes networking

  • CNI plugins

  • Pod-to-Pod and Pod-to-Service traffic

Node Affinity & Scheduling Control

  • Scheduling mechanisms

  • NodeSelector vs Node Affinity

  • Pod Affinity & Anti-Affinity

  • High availability using anti-affinity

Database Operation in Kubernetes

  • Stateless vs Stateful workloads

  • Persistent storage for databases (ReadWriteOnce vs ReadWriteMany)

  • Backup & restore strategies

  • Pod or node failure simulation

Prerequisites

Docker Fundamentals