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Training Center MUKКурсыLINUX & UNIXLinux AdvancedDocker with Kubernetes Administration

Docker with Kubernetes Administration

ტრენინგის კოდი
GL355
ხანგძლიობა
5 დღე, 47 საათი
კურსის აღწერა
მიზანი
მოთხოვნა
კურსის პროგრამა
კურსის აღწერა

Overview

This course combines the GL340 Docker and GL360 Kubernetes Administration courses.

Participants will first understand the core features of Docker including: container creation and management, interacting with Docker hub, using Dockerfile to create and manage custom images, advanced Docker networking (how to safely expose container services to the world, and link containers), the use of Docker volumes to manage persistent data, and Docker Compose to build multi-container applications. Emphasis is placed on best practices and how to secure Docker installations and containers.

The second part of the course introduces participants to the basic concepts and architecture of Kubernetes, its initial install & setup, Kubernetes Pods, deployments and services, persistent storage, networking, automating deployment, scaling & management of containerized applications, and finally it’s logging and monitoring facilities.

Structure

50% theory 50% hands on lab exercises

Supported Distributions

Red Hat Enterprise Linux 9

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Course Objectives

The primary goal of the course is to equip participants with the skills needed to manage containerized applications effectively in enterprise and cloud environments. It covers the full lifecycle from container creation to deployment, scaling, and monitoring.

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Audience

  • System administrators and Devops professionals who want to understand and use Docker and Kubernetes in enterprise and cloud environments.

Prerequisites

  • Proficiency with the Linux CLI (GL120 “Linux Fundamentals).
  • A broad understanding of Linux system administration (GL250 “Enterprise Linux Systems Administration”)
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Course Outline

1. Core Concepts

  • CKA Objectives Covered
  • Kubernetes Architecture
  • Cluster Communication
  • Objects
  • Object Properties
  • Labels & Selectors
  • Annotations
  • Object Management
  • Object Management (cont.)
  • Image Fundamentals
  • Container Fundamentals
  • Pod Fundamentals
  • Working with Pods
  • Writing YAML Files

Lab Tasks

  • Single Node Install
  • Pod Fundamentals

2. Installation (HA)

  • CKA Objectives Covered
  • Installation pre-requisites
  • Installation (single node)
  • Installation (production)
  • Client Tool Optimizations
  • Installing HA Control Plane (DEMO)

Lab Tasks

  • (DEMO) Kubernetes HA Masters Install
  • Joining Worker Nodes

3. Application Lifecycle Management

  • CKA Objectives Covered
  • Pod Lifecycle
  • Container Lifecycle
  • Init Containers
  • Container: command and args
  • Container: Defining Environment
  • ReplicaSet
  • Deployments
  • Working with Deployments
  • Deployment Rollouts

Lab Tasks

  • Pod Lifecycle
  • Init Containers
  • Deployments

4. Networking

  • CKA Objectives Covered
  • Network Overview
  • Service Discovery & CoreDNS
  • Container Network Interface (CNI)
  • Services
  • Ingress Objects

Lab Tasks

  • (DEMO) Ingress Controller
  • Port-Forwarding
  • Services
  • Ingress

5. Storage

  • CKA Objectives Covered
  • Storage
  • Volume Types
  • Volume Types
  • Static Volumes (DEMO)
  • ConfigMaps
  • ConfigMaps
  • Secrets

Lab Tasks

  • (DEMO) Static Volumes
  • (DEMO) ConfigMaps & Secrets
  • Static Volume Provisioning
  • ConfigMaps and Secrets

6. Security

  • Kubernetes API – Authentication
  • Kubernetes API – Authorization
  • Kubectl Configuration
  • Role–Based Access Control
  • Service Account & Tokens
  • Admission Controllers
  • PodSecurityPolicy Admission Controller
  • Default Admission Controllers

Lab Tasks

  • DEMO – Kubeconfigs & RBAC
  • Service Accounts and Tokens

7. Scheduling

  • CKA Objectives Covered
  • Controlling and Tracking Resources
  • Scheduler Operation
  • DaemonSet
  • Node Affinity & Anti-affinity
  • Pod Affinity & Anti-affinity
  • Taints & Tolerations

Lab Tasks

  • (DEMO) Affinity and Taints
  • Pod Resources and Scheduling
  • Static Scheduling and Daemonsets
  • Pod and Node Affinities

A. Jobs and CronJobs

  • Jobs
  • CronJobs

Lab Tasks

  • Jobs
  • CronJobs

B. Linux Containers

  • Application Management Landscape
  • Application Isolation
  • Resource Measurement and Control
  • Container Security
  • OverlayFS Overview
    Container Security
  • Open Container Initiative

Lab Tasks

  • Container Concepts runC

C. Kubernetes Install (the hard way) Lab Tasks

  • Kubernetes Install (the hard way)
ტრენინგზე რეგისტრაცია
Docker with Kubernetes Administration
ტრენინგის კოდი:
GL355
ხანგძლიობა:
5 დღე, 47 საათი
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