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Docker And Kubernetes For Beginners | Devops Journey - 0nelove - 05-22-2025

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Docker And Kubernetes For Beginners | Devops Journey
Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 19.09 GB | Duration: 18h 54m
Docker & Kubernetes Masterclass: Build, Deploy, & Scale on AWS, Azure, & GCP.
What you'll learn[/center]


Master Docker and Kubernetes for containerization and orchestration from basics to advanced.
Deploy apps on AWS, Azure, GCP using their managed Kubernetes services.
Build scalable, highly available containerized applications for real-world scenarios.
Optimize Docker, secure Kubernetes, and implement CI/CD for containerized workflows.
Requirements
To get the most out of this course, we recommend: Basic understanding of Linux command line: Familiarity with common commands (e.g., cd, ls, mkdir, sudo) will be helpful. Fundamental networking concepts: Knowledge of IP addresses, ports, and basic network communication is beneficial. Comfort with a text editor/IDE: You'll be writing configuration files, so familiarity with tools like VS Code, Sublime Text, or Notepad++ is useful. An active internet connection: For downloading software, accessing cloud provider consoles, and running labs. No prior Docker or Kubernetes experience is required! This course starts from the ground up, making it suitable for beginners looking to enter the world of containerization and orchestration. We'll guide you through every step. While experience with a programming language (like Python, Node.js, Go) is a plus, it's not strictly necessary. We'll focus on deployment and operations rather than application development.
Description
Welcome to the ultimate Docker and Kubernetes Masterclass, your comprehensive guide to mastering the art of containerization and orchestration across all major cloud providers! In today's dynamic tech landscape, Docker and Kubernetes have become indispensable tools for modern application deployment, enabling organizations to build, ship, and run applications with unprecedented efficiency and scalability.This course is meticulously designed to take you from a complete beginner to a confident practitioner, covering both the foundational theory and extensive hands-on practical application. You'll gain a deep understanding of how to leverage Docker to package your applications into lightweight, portable containers, and then master Kubernetes to orchestrate these containers at scale, ensuring high availability, fault tolerance, and seamless management.What sets this course apart is its unique focus on the three major cloud providers: AWS, Azure, and Google Cloud Platform (GCP). We'll not only explore the core concepts of Docker and Kubernetes but also dive deep into how to effectively utilize their respective managed Kubernetes services - Amazon Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), and Google Kubernetes Engine (GKE). This ensures you're equipped with real-world skills applicable to virtually any cloud environment.Here's a glimpse of what you'll learn and achieve in this masterclassBig Grinocker Fundamentals: Begin with the absolute basics of Docker, understanding container images, Dockerfiles, volumes, networks, and how to build and run your first containerized applications.Advanced Docker Concepts: Explore multi-stage builds, Docker Compose for multi-container applications, and best practices for creating optimized and secure Docker images.Kubernetes Core Concepts: Dive into the heart of Kubernetes, learning about Pods, Deployments, Services, Namespaces, ConfigMaps, Secrets, and how these components work together to form a robust application ecosystem.Kubernetes Deployments & Management: Master the art of deploying, scaling, updating, and rolling back applications on a Kubernetes cluster. You'll learn about ReplicaSets, DaemonSets, StatefulSets, and Jobs.Networking and Storage in Kubernetes: Understand Kubernetes networking models, Ingress controllers for external access, and persistent storage options like Persistent Volumes and Persistent Volume Claims.Cloud-Specific Kubernetes Implementations:AWS EKS: Learn to provision and manage EKS clusters, integrate with AWS services, and deploy applications on EKS.Azure AKS: Discover how to set up and configure AKS clusters, utilize Azure-specific features, and deploy your containerized workloads.GCP GKE: Explore GKE's powerful capabilities, including auto-scaling, auto-repair, and seamless integration with Google Cloud services.Monitoring and Troubleshooting: Gain practical skills in monitoring your Kubernetes clusters and applications, identifying issues, and effectively troubleshooting common problems.Security Best Practices: Learn how to secure your Docker images, Kubernetes clusters, and containerized applications, including role-based access control (RBAC), network policies, and image scanning.By the end of this course, you'll not only have a solid theoretical foundation but also significant hands-on experience, enabling you to confidently design, deploy, and manage highly available and scalable containerized applications on any of the major cloud platforms. Whether you're an aspiring DevOps engineer, a software developer looking to modernize your deployment practices, or an IT professional eager to upskill, this course provides the comprehensive knowledge and practical skills you need to thrive in the cloud-native era. Enroll now and unlock the power of Docker and Kubernetes!
Overview
Section 1: Introduction
Lecture 1 Course overview
Lecture 2 Download Slides, notes and diagrams
Section 2: Container Introduction
Lecture 3 Foundation of containers
Lecture 4 Containers Vs Virtual Machine
Lecture 5 Why developers should use containers
Lecture 6 Install Docker on Linux
Lecture 7 Install Docker on Mac
Lecture 8 Run your first container
Lecture 9 Docker cli commands
Lecture 10 Summary
Section 3: Docker essentials for beginners
Lecture 11 Key Docker Concepts: Images, Containers, Dockerfiles
Lecture 12 Writing a Dockerfile and building a container image
Lecture 13 Managing containers: Running, Stopping, Removing
Lecture 14 Containerizing a simple Node.js/Python app
Lecture 15 Docker multi-stage build
Lecture 16 Summary
Section 4: Docker Networking
Lecture 17 Container networking models
Lecture 18 Bridge, host, and overlay networks
Lecture 19 Common Container Networking Commands
Lecture 20 Create a custom network and run container
Lecture 21 Summary
Section 5: Docker compose and Multi container
Lecture 22 Intro to Docker Compose
Lecture 23 Dockerizing a multi-container apps (Frontend + Backend + Database)
Lecture 24 Hands-on: Setting up a multi-service app using docker-compose.yml
Lecture 25 Summary
Section 6: Introduction to Kuberneters
Lecture 26 Why Kubernetes? How it solves container orchestration challenges
Lecture 27 What is a Pod
Lecture 28 Ways to install Kubernetes
Lecture 29 Kubernetes Architecture
Lecture 30 Setup a local Kubernetes cluster on Linux
Lecture 31 Setup a local Kubernetes cluster on Mac
Lecture 32 Other installation options for local kubernetes
Lecture 33 Deploy a sample pod
Lecture 34 What is a deployment
Lecture 35 Create a sample deployment
Lecture 36 What is a service
Lecture 37 Deploy a sample cluster IP service
Lecture 38 Deploy a sample nodeport service
Lecture 39 Deploy a sample loadbalancer service
Lecture 40 useful kubectl commands
Lecture 41 Deploying a simple app to Kubernetes
Lecture 42 Summary
Section 7: Kubernetes for developers
Lecture 43 env variables in Kubernetes
Lecture 44 env variables in Kubernetes - demo
Lecture 45 config maps in kubernetes
Lecture 46 config map - demo
Lecture 47 secrets in Kubernetes
Lecture 48 Secrets demo
Lecture 49 vertical vs horizontal scaling
Lecture 50 HPA vs VPA
Lecture 51 Types of scaling in Kubernetes
Lecture 52 Metrics server
Lecture 53 resource requests and limits
Lecture 54 resource requests and limits - demo
Lecture 55 Horizontal pod autoscaler demo
Lecture 56 Summary
Section 8: Kubernetes Storage
Lecture 57 Volumes in Kubernetes
Lecture 58 EmptyDir Volume
Lecture 59 Peristent Volumes and Persistent Volumes Claim
Lecture 60 Access modes
Lecture 61 Static V/s Dynamic Storage provisioning
Lecture 62 Reclaim policies
Lecture 63 Storage Class
Lecture 64 Demo provisioning a pod with persistent storage
Lecture 65 Summary
Section 9: Google Kubernetes Engine - Managed Kubernetes
Lecture 66 GKE Overview
Lecture 67 Create an GCP Trial Account
Lecture 68 GKE Modes - Standard vs auto-pilot
Lecture 69 GKE release channels
Lecture 70 Create GKE Cluster - standard mode
Lecture 71 GKE cluster walkthrough
Lecture 72 Create a gke cluster - autopilot mode
Lecture 73 GKE Node pools
Lecture 74 Node auto provisioning
Lecture 75 Deploy a sample hello world app to GKE
Lecture 76 Cluster autoscaling
Lecture 77 Node auto provisioning demo
Lecture 78 GKE Storage - dynamic provisioning
Lecture 79 Deploying a full stack App to GKE
Lecture 80 Summary
Section 10: Azure Kubernetes Service - Managed Kubernetes
Lecture 81 AKS Overview
Lecture 82 Create an Azure Trial Account
Lecture 83 AKS Standard vs AKS automatic
Lecture 84 AKS Upgrade channel
Lecture 85 AKS Node pools
Lecture 86 NAP vs Cluster autoscaler
Lecture 87 Create AKS Cluster using CLI
Lecture 88 AKS Cluster Presets
Lecture 89 AKS Pricing tier
Lecture 90 Create AKS cluster using portal - dev/test
Lecture 91 AKS Cluster walkthrough
Lecture 92 Create a production cluster using portal
Lecture 93 Deploy a todo app to AKS
Lecture 94 Cluster autoscaling in AKS
Lecture 95 Dynamic storage
Lecture 96 Deploying a full stack App to AKS
Lecture 97 Summary
Section 11: Amazon Elastic Kubernetes Service - EKS
Lecture 98 EKS Overview
Lecture 99 EKS Deployment modes
Lecture 100 EKS Auto mode
Lecture 101 Create an AWS Trial Account
Lecture 102 Create EKS Cluster using CLI
Lecture 103 Create EKS Node group
Lecture 104 EKS Cluster walkthrough
Lecture 105 Version support in EKS
Lecture 106 Create EKS Cluster using AWS console Without Auto mode
Lecture 107 Create EKS Cluster using AWS console Auto mode
Lecture 108 Deploy a todo app to EKS
Lecture 109 Cluster autoscaling in EKS
Lecture 110 Dynamic storage in EKS
Lecture 111 Deploying a full stack App to EKS
Lecture 112 Summary
This comprehensive Docker and Kubernetes course is ideal for: Aspiring DevOps Engineers: Gain the essential skills in containerization and orchestration highly sought after in modern DevOps roles. Software Developers: Learn to containerize your applications, optimize deployment workflows, and understand how your code runs in a cloud-native environment. System Administrators: Upgrade your skillset to manage and scale applications efficiently using cutting-edge container technologies. Cloud Engineers: Deepen your expertise in deploying and managing containerized workloads on AWS, Azure, and GCP, maximizing the benefits of cloud platforms. IT Professionals looking to upskill: If you're eager to stay relevant in the rapidly evolving tech landscape and build a foundation in cloud-native development, this course is for you. Anyone interested in modern application deployment: Whether you're a student, a curious learner, or transitioning into a new tech role, this course provides a practical, hands-on path to mastering Docker and Kubernetes.
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