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Cloud Computing & DevOps

Kubernetes for App Developers

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  • Overview

    This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster. Starting with a simple Python script, you will define application resources and use core primitives to build, monitor and troubleshoot scalable applications in Kubernetes. Working with network plugins, security and cloud storage, you will be exposed to many of the features needed to deploy an application in a production environment.

  • Who Should Take This Course

    Prerequisites

    To get the most out of this course, you should have basic Linux command line and file editing skills and be familiar with using a programming language (such as Python, Node.js, Go). A knowledge of Cloud Native application concepts and architectures is helpful for this course.

  • Why You Should Take This Course

    Upon completion of this course, students will understand:

    • Containerize and deploy a new Python script
    • Configure the deployment with ConfigMaps, Secrets and SecurityContexts
    • Understand multi-container pod design
    • Configure probes for pod health
    • Update and roll back an application
    • Implement services and NetworkPolicies
    • Use PersistentVolumeClaims for state persistence
    • And More
  • Schedule
  • Course Outline

    Introduction

    • Objectives
    • Who You Are
    • The Linux Foundation
    • Linux Foundation Training
    • Preparing Your System
    • Course Registration
    • Labs

    Kubernetes Architecture

    • What Is Kubernetes?
    • Components of Kubernetes
    • Challenges
    • The Borg Heritage
    • Kubernetes Architecture
    • Terminology
    • Master Node
    • Minion (Worker) Nodes
    • Pods
    • Services
    • Controllers
    • Single IP per Pod
    • Networking Setup
    • CNI Network Configuration File
    • Pod-to-Pod Communication
    • Cloud Native Computing Foundation
    • Resource Recommendations
    • Labs

    Build

    • Container Options
    • Containerizing an Application
    • Hosting a Local Repository
    • Creating a Deployment
    • Running Commands in a Container
    • Multi-Container Pod
    • readinessProbe
    • livenessProbe
    • Testing
    • Labs

    Design

    • Traditional Applications: Considerations
    • Decoupled Resources
    • Transience
    • Flexible Framework
    • Managing Resource Usage
    • Multi-Container Pods
    • Sidecar Container
    • Adapter Container
    • Ambassador
    • Points to Ponder
    • Labs

    Deployment Configuration

    • Volumes Overview
    • Introducing Volumes
    • Volume Spec
    • Volume Types
    • Shared Volume Example
    • Persistent Volumes and Claims
    • Persistent Volume
    • Persistent Volume Claim
    • Dynamic Provisioning
    • Secrets
    • Using Secrets via Environment Variables
    • Mounting Secrets as Volumes
    • Portable Data with ConfigMaps
    • Using ConfigMaps
    • Deployment Configuration Status
    • Scaling and Rolling Updates
    • Deployment Rollbacks
    • Jobs
    • Labs

    Security

    • Security Overview
    • Accessing the API
    • Authentication
    • Authorization
    • ABAC
    • RBAC
    • RBAC Process Overview
    • Admission Controller
    • Security Contexts
    • Pod Security Policies
    • Network Security Policies
    • Network Security Policy Example
    • Default Policy Example
    • Labs

    Exposing Applications

    • Service Types
    • Services Diagram
    • Service Update Pattern
    • Accessing an Application with a Service
    • Service without a Selector
    • ClusterIP
    • NodePort
    • LoadBalancer
    • ExternalName
    • Ingress Resource
    • Ingress Controller
    • Labs

    Troubleshooting

    • Troubleshotting Overview
    • Basic Troubleshooting Steps
    • Ongoing (Constant) Change
    • Basic Troubleshooting Flow: Pods
    • Basic Troubleshooting Flow: Node and Security
    • Basic Troubleshooting Flow: Agents
    • Monitoring
    • Logging Tools
    • Monitoring Applications
    • System and Agent Logs
    • Conformance Testing
    • More Resource
    • Labs
  • 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.
    • What is Live Online training?Classes marked Live Online have the same content and expert instructors as our classroom training, but are delivered entirely online through our virtual classroom environment. Each class session is live, and led by an Instructor.

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