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Home > Training > DevOps > Managing Clusters and containers with Kubernetes Training

Managing Clusters and containers with Kubernetes Training (Coming Soon)

Course#: WA2507

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. Using the concepts of "labels" and "pods", it groups the containers which make up an application into logical units for easy management and discovery.

This course will provide students with an understanding of the foundational technologies behind Ansible, and show students how to use Ansible as a tool to manage computing infrastructure.

Objectives

In this training, attendees will learn how to:

  • Understand the architecture of Kubernetes and use basic terminology
  • Design and Manage Kubernetes Clusters

Prerequisites

Attendees should be comfortable using command shell commands in a Linux or Unix environment.

Duration

3 days

Outline of WA2507 Managing Clusters and containers with Kubernetes Training

Section 1 - Overview of Containerization Systems

  • Virtualization
  • Hypervisors
  • Hypervisor Types
  • Type 1 hypervisors
  • Type 2 hypervisors
  • Type 1 vs Type 2 Processing
  • Paravirtualization
  • Virtualization Qualities (1/2)
  • Virtualization Qualities (2/2)
  • Disadvantages of Virtualization
  • Containerization
  • Virtualization vs Containerization
  • Where to Use Virtualization and Containerization
  • Popular Containerization Systems
  • What are Linux Containers
  • Docker
  • OpenVZ
  • Solaris Zones (Containers)
  • Summary

Section 2 - Introduction to Docker

  • What is Docker
  • Where Can I Run Docker?
  • Docker and Containerization on Linux
  • Linux Kernel Features: cgroups and namespaces
  • The Docker-Linux Kernel Interfaces
  • Docker Containers vs Traditional Virtualization
  • Docker as Platform-as-a-Service
  • Docker Integration
  • Docker Services
  • Docker Application Container Public Repository
  • Competing Systems
  • Docker Command-line
  • Starting, Inspecting, and Stopping Docker Containers
  • Summary

Section 3 – Getting Started with Kubernetes

  • Overview
  • Installing Kubernetes and Creating Clusters
  • Hosting Solutions for Clusters

Section 4 - Application Administration

  • Overview and Concepts
  • Application Administration Prerequisites
  • Quick Start: Launching Applications
  • Troubleshooting

Section 5 - Cluster Administration – Overview

  • Architecture of a Kubernetes Cluster

Section 6 - Planning and Designing a Cluster

  • Security
  • Access Management
  • Namespaces

Section 7 - Administering Clusters

  • Accessing the Cluster
  • Using the RESTful API
  • Accessing services running on the cluster
  • Discovering built-in services

Section 8 - Administering Nodes

  • kubelet
  • kube-proxy
  • Networking

Section 9 - Managing Clusters

  • Configuration
  • Resizing a cluster
  • Horizontal auto-scaling
  • Maintenance on a node
  • Considerations for running multiple clusters and large clusters
  • Resource quotas
  • Troubleshooting

Section 10 - High-Availability Clusters

  • Overview
  • Reliable nodes
  • Reliable storage
  • Replicated API server
  • Load Balancing
  • Installing configuration files

Section 11 - Configuration Best Practices

We regularly offer classes in these and other cities. Atlanta, Austin, Baltimore, Calgary, Chicago, Cleveland, Dallas, Denver, Detroit, Houston, Jacksonville, Miami, Montreal, New York City, Orlando, Ottawa, Philadelphia, Phoenix, Pittsburgh, Seattle, Toronto, Vancouver, Washington DC.
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