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Cloud Computing & DevOps

Managing Clusters and Containers with Kubernetes

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  • Overview
    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.
  • Who Should Take This Course

    PREREQUISITES

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

  • Why You Should Take This Course

    Upon completing this course, students will be able to:

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

    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

  • FAQs
    Is there a discount available for current students?

    UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Online courses are excluded from this offer.

    What is the cancellation and refund policy?

    Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.

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