Kubernetes Workshop

Learn via : Virtual Classroom / Online
Duration : 1 Day
  1. Home
  2. /
  3. Kubernetes Workshop

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