DevOps Toolkit: Learn Kubernetes with Practical Exercises!

  • Course provided by Udemy
  • Study type: Online
  • Starts: Anytime
  • Price: See latest price on Udemy
Udemy

Course Description

Hi I’m Sam, a big data engineer, cloud engineer and machine learning/AI Enthusiast teaching you Kubernetes using GCP’s Kubernetes Engine. I will teach you the core components of Kubernetes with various kubernetes specific concepts. Course is up to date uses the latest kubernetes version and all exercises can be done for free and on any operating system. Course will include a quiz at the end of the theory section to test and consolidate your learning.

Two practicals focusing on the major architectural concepts within Kubernetes and containerisation will be presented to complement the theory learned. This course was designed to balance theory and practise to deepen your understanding and why we do things the way it’s done and not just show you how it’s done. I want you to understand the reason behind each decision made.

Course is split up into sections as below:

Containerisation and Orchestration - Explore the concept of containers and problems that kubernetes aims to solve.

Master and Nodes - Main architecture of Kubernetes, will dig a little deeper into components and commonly used architectures.

Pods - The building block of Kubernetes, will explain the main concept and commonly used example of pods.

Services - Various options for connecting pods to external traffic.

Deployments - Concept of replication set and launching of a kubernetes cluster.

Desired State, Defining Kube Objects - Explore the concept of desired state and how to actually define kubernetes working parts before deploying.

Stateless & Stateful - Main concepts comparing stateless architectures with stateful and why you would want to use one over another.

Stateless Cluster Practical - This is a practical where we will build a stateless application and deploy the cluster.

Stateful Cluster Practical - This is a practical where we will build a stateful application and deploy the cluster.

Who this course is for:

  • For anyone who wants to learn about Kubernetes
  • For anyone who wants to learn Google Kubernetes Engine

Instructor

Big Data Engineer|Cloud Engineer|ML and AI Enthusiast
  • 4.3 Instructor Rating
  • 2,071 Reviews
  • 23,154 Students
  • 3 Courses

Hi I am Sam! A Big Data Engineer, Cloud Engineer and Machine Learning/AI Enthusiast. For my day to day activities I like to first start my day with a cup of Coffee then start solving real world problems mainly to do with Big Data technologies (Different Cloud Technologies mixed with Open Source systems such as hadoop vendors) and Websites (Backend APIs and Front End presentation).

I am a certified Google Cloud Data Engineer and an AWS Solutions Architect.

Happy to be a part of your learning journey of the ever changing landscape of programming.

Expected Outcomes

  1. Working knowledge of important Kubernetes concepts Various Kubernetes components Kubernetes Architecture Services & Deployments within Kubernetes Stateless & Stateful Concepts, Pros & Cons Practical experience & Quizzes to complement theory learned Course content 4 sections • 27 lectures • 2h 26m total length Expand all sections Kubernetes Theory and Overview 8 lectures • 50min Course Introduction Preview 04:47 Containerisation and Orchestration Preview 05:15 Master & Nodes Preview 06:49 Pods 02:58 Services 07:00 Deployments 05:36 Defining Kubernetes Objects & Desired State 08:56 Stateless Vs Stateful 08:50 Theory Quiz 25 questions Setting Up GCP Kubernetes Environment 2 lectures • 13min GCP Console Sign-up and Walkthrough 04:36 Kubernetes Cluster Setup 08:06 Kubernetes Stateless Cluster Practical 12 lectures • 59min Stateless Cluster Walkthrough Preview 03:14 Stateless Practical Yaml File Walkthrough Part 1 04:10 Stateless Practical Yaml File Walkthrough Part 2 03:17 Setting Up Deployment Files 05:28 Stateless Practical Part 1 05:36 Stateless Practical Part 2 07:51 Stateless Practical Part 3 04:43 Stateless Practical Part 4 06:33 Stateless Practical Part 5 06:15 Stateless Practical Part 6 05:27 Stateless Practical Part 7 04:35 Practical Cleanup 01:54 Kubernetes Stateful Cluster Practical 5 lectures • 25min Stateful Cluster Practical Walkthrough 02:30 Stateful Practical Yaml File Walkthrough 04:08 Stateful Practical Part 1 07:07 Stateful Practical Part 2 04:24 Stateful Practical Part 3 & Cluster Cleanup 06:48 Requirements Some knowledge of Containers and Images will be useful Some understanding of Virtual Machines will be beneficial Desire to Learn! Description Hi I’m Sam, a big data engineer, cloud engineer and machine learning/AI Enthusiast teaching you Kubernetes using GCP’s Kubernetes Engine. I will teach you the core components of Kubernetes with various kubernetes specific concepts. Course is up to date uses the latest kubernetes version and all exercises can be done for free and on any operating system . Course will include a quiz at the end of the theory section to test and consolidate your learning. Two practicals focusing on the major architectural concepts within Kubernetes and containerisation will be presented to complement the theory learned. This course was designed to balance theory and practise to deepen your understanding and why we do things the way it’s done and not just show you how it’s done. I want you to understand the reason behind each decision made . Course is split up into sections as below: Containerisation and Orchestration - Explore the concept of containers and problems that kubernetes aims to solve. Master and Nodes - Main architecture of Kubernetes, will dig a little deeper into components and commonly used architectures. Pods - The building block of Kubernetes, will explain the main concept and commonly used example of pods. Services - Various options for connecting pods to external traffic. Deployments - Concept of replication set and launching of a kubernetes cluster. Desired State, Defining Kube Objects - Explore the concept of desired state and how to actually define kubernetes working parts before deploying. Stateless & Stateful - Main concepts comparing stateless architectures with stateful and why you would want to use one over another. Stateless Cluster Practical - This is a practical where we will build a stateless application and deploy the cluster. Stateful Cluster Practical - This is a practical where we will build a stateful application and deploy the cluster. Who this course is for: For anyone who wants to learn about Kubernetes For anyone who wants to learn Google Kubernetes Engine Show more Show less Instructor Samuel Lee Big Data Engineer|Cloud Engineer|ML and AI Enthusiast 4.3 Instructor Rating 2,071 Reviews 23,154 Students 3 Courses Hi I am Sam! A Big Data Engineer, Cloud Engineer and Machine Learning/AI Enthusiast. For my day to day activities I like to first start my day with a cup of Coffee then start solving real world problems mainly to do with Big Data technologies (Different Cloud Technologies mixed with Open Source systems such as hadoop vendors) and Websites (Backend APIs and Front End presentation). I am a certified Google Cloud Data Engineer and an AWS Solutions Architect. Happy to be a part of your learning journey of the ever changing landscape of programming. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'6778424c79ee40c5',m:'f31ccf169b72ef2de9d1b1219bca5b9fe052987a-1627749527-1800-AaF6hISaxo2QRfHWp0bV89xqZ+zlCdgVzQexGa6CQphm2B5DXjd5s0c5LWisaNFeMqVOWM1MztBPs4s7R6HJHfO7l7dYWIwRfVP6XEn5wQrrwaAETQlDYX/+dfes1PW0fceuqJ59dKk/wLv4xaM29aDerBAz+PRrHu3nrz96Cj5KJxqM+CNGVlz1H2+xENQ358KoiQuPRRUQJJ5wn4RVLCw=',s:[0x0bd730d9a3,0x0b605d9b01],}})();
  2. Various Kubernetes components Kubernetes Architecture Services & Deployments within Kubernetes Stateless & Stateful Concepts, Pros & Cons Practical experience & Quizzes to complement theory learned Course content 4 sections • 27 lectures • 2h 26m total length Expand all sections Kubernetes Theory and Overview 8 lectures • 50min Course Introduction Preview 04:47 Containerisation and Orchestration Preview 05:15 Master & Nodes Preview 06:49 Pods 02:58 Services 07:00 Deployments 05:36 Defining Kubernetes Objects & Desired State 08:56 Stateless Vs Stateful 08:50 Theory Quiz 25 questions Setting Up GCP Kubernetes Environment 2 lectures • 13min GCP Console Sign-up and Walkthrough 04:36 Kubernetes Cluster Setup 08:06 Kubernetes Stateless Cluster Practical 12 lectures • 59min Stateless Cluster Walkthrough Preview 03:14 Stateless Practical Yaml File Walkthrough Part 1 04:10 Stateless Practical Yaml File Walkthrough Part 2 03:17 Setting Up Deployment Files 05:28 Stateless Practical Part 1 05:36 Stateless Practical Part 2 07:51 Stateless Practical Part 3 04:43 Stateless Practical Part 4 06:33 Stateless Practical Part 5 06:15 Stateless Practical Part 6 05:27 Stateless Practical Part 7 04:35 Practical Cleanup 01:54 Kubernetes Stateful Cluster Practical 5 lectures • 25min Stateful Cluster Practical Walkthrough 02:30 Stateful Practical Yaml File Walkthrough 04:08 Stateful Practical Part 1 07:07 Stateful Practical Part 2 04:24 Stateful Practical Part 3 & Cluster Cleanup 06:48 Requirements Some knowledge of Containers and Images will be useful Some understanding of Virtual Machines will be beneficial Desire to Learn! Description Hi I’m Sam, a big data engineer, cloud engineer and machine learning/AI Enthusiast teaching you Kubernetes using GCP’s Kubernetes Engine. I will teach you the core components of Kubernetes with various kubernetes specific concepts. Course is up to date uses the latest kubernetes version and all exercises can be done for free and on any operating system . Course will include a quiz at the end of the theory section to test and consolidate your learning. Two practicals focusing on the major architectural concepts within Kubernetes and containerisation will be presented to complement the theory learned. This course was designed to balance theory and practise to deepen your understanding and why we do things the way it’s done and not just show you how it’s done. I want you to understand the reason behind each decision made . Course is split up into sections as below: Containerisation and Orchestration - Explore the concept of containers and problems that kubernetes aims to solve. Master and Nodes - Main architecture of Kubernetes, will dig a little deeper into components and commonly used architectures. Pods - The building block of Kubernetes, will explain the main concept and commonly used example of pods. Services - Various options for connecting pods to external traffic. Deployments - Concept of replication set and launching of a kubernetes cluster. Desired State, Defining Kube Objects - Explore the concept of desired state and how to actually define kubernetes working parts before deploying. Stateless & Stateful - Main concepts comparing stateless architectures with stateful and why you would want to use one over another. Stateless Cluster Practical - This is a practical where we will build a stateless application and deploy the cluster. Stateful Cluster Practical - This is a practical where we will build a stateful application and deploy the cluster. Who this course is for: For anyone who wants to learn about Kubernetes For anyone who wants to learn Google Kubernetes Engine Show more Show less Instructor Samuel Lee Big Data Engineer|Cloud Engineer|ML and AI Enthusiast 4.3 Instructor Rating 2,071 Reviews 23,154 Students 3 Courses Hi I am Sam! A Big Data Engineer, Cloud Engineer and Machine Learning/AI Enthusiast. For my day to day activities I like to first start my day with a cup of Coffee then start solving real world problems mainly to do with Big Data technologies (Different Cloud Technologies mixed with Open Source systems such as hadoop vendors) and Websites (Backend APIs and Front End presentation). I am a certified Google Cloud Data Engineer and an AWS Solutions Architect. Happy to be a part of your learning journey of the ever changing landscape of programming. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'6778424c79ee40c5',m:'f31ccf169b72ef2de9d1b1219bca5b9fe052987a-1627749527-1800-AaF6hISaxo2QRfHWp0bV89xqZ+zlCdgVzQexGa6CQphm2B5DXjd5s0c5LWisaNFeMqVOWM1MztBPs4s7R6HJHfO7l7dYWIwRfVP6XEn5wQrrwaAETQlDYX/+dfes1PW0fceuqJ59dKk/wLv4xaM29aDerBAz+PRrHu3nrz96Cj5KJxqM+CNGVlz1H2+xENQ358KoiQuPRRUQJJ5wn4RVLCw=',s:[0x0bd730d9a3,0x0b605d9b01],}})();
  3. Kubernetes Architecture Services & Deployments within Kubernetes Stateless & Stateful Concepts, Pros & Cons Practical experience & Quizzes to complement theory learned Course content 4 sections • 27 lectures • 2h 26m total length Expand all sections Kubernetes Theory and Overview 8 lectures • 50min Course Introduction Preview 04:47 Containerisation and Orchestration Preview 05:15 Master & Nodes Preview 06:49 Pods 02:58 Services 07:00 Deployments 05:36 Defining Kubernetes Objects & Desired State 08:56 Stateless Vs Stateful 08:50 Theory Quiz 25 questions Setting Up GCP Kubernetes Environment 2 lectures • 13min GCP Console Sign-up and Walkthrough 04:36 Kubernetes Cluster Setup 08:06 Kubernetes Stateless Cluster Practical 12 lectures • 59min Stateless Cluster Walkthrough Preview 03:14 Stateless Practical Yaml File Walkthrough Part 1 04:10 Stateless Practical Yaml File Walkthrough Part 2 03:17 Setting Up Deployment Files 05:28 Stateless Practical Part 1 05:36 Stateless Practical Part 2 07:51 Stateless Practical Part 3 04:43 Stateless Practical Part 4 06:33 Stateless Practical Part 5 06:15 Stateless Practical Part 6 05:27 Stateless Practical Part 7 04:35 Practical Cleanup 01:54 Kubernetes Stateful Cluster Practical 5 lectures • 25min Stateful Cluster Practical Walkthrough 02:30 Stateful Practical Yaml File Walkthrough 04:08 Stateful Practical Part 1 07:07 Stateful Practical Part 2 04:24 Stateful Practical Part 3 & Cluster Cleanup 06:48 Requirements Some knowledge of Containers and Images will be useful Some understanding of Virtual Machines will be beneficial Desire to Learn! Description Hi I’m Sam, a big data engineer, cloud engineer and machine learning/AI Enthusiast teaching you Kubernetes using GCP’s Kubernetes Engine. I will teach you the core components of Kubernetes with various kubernetes specific concepts. Course is up to date uses the latest kubernetes version and all exercises can be done for free and on any operating system . Course will include a quiz at the end of the theory section to test and consolidate your learning. Two practicals focusing on the major architectural concepts within Kubernetes and containerisation will be presented to complement the theory learned. This course was designed to balance theory and practise to deepen your understanding and why we do things the way it’s done and not just show you how it’s done. I want you to understand the reason behind each decision made . Course is split up into sections as below: Containerisation and Orchestration - Explore the concept of containers and problems that kubernetes aims to solve. Master and Nodes - Main architecture of Kubernetes, will dig a little deeper into components and commonly used architectures. Pods - The building block of Kubernetes, will explain the main concept and commonly used example of pods. Services - Various options for connecting pods to external traffic. Deployments - Concept of replication set and launching of a kubernetes cluster. Desired State, Defining Kube Objects - Explore the concept of desired state and how to actually define kubernetes working parts before deploying. Stateless & Stateful - Main concepts comparing stateless architectures with stateful and why you would want to use one over another. Stateless Cluster Practical - This is a practical where we will build a stateless application and deploy the cluster. Stateful Cluster Practical - This is a practical where we will build a stateful application and deploy the cluster. Who this course is for: For anyone who wants to learn about Kubernetes For anyone who wants to learn Google Kubernetes Engine Show more Show less Instructor Samuel Lee Big Data Engineer|Cloud Engineer|ML and AI Enthusiast 4.3 Instructor Rating 2,071 Reviews 23,154 Students 3 Courses Hi I am Sam! A Big Data Engineer, Cloud Engineer and Machine Learning/AI Enthusiast. For my day to day activities I like to first start my day with a cup of Coffee then start solving real world problems mainly to do with Big Data technologies (Different Cloud Technologies mixed with Open Source systems such as hadoop vendors) and Websites (Backend APIs and Front End presentation). I am a certified Google Cloud Data Engineer and an AWS Solutions Architect. Happy to be a part of your learning journey of the ever changing landscape of programming. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'6778424c79ee40c5',m:'f31ccf169b72ef2de9d1b1219bca5b9fe052987a-1627749527-1800-AaF6hISaxo2QRfHWp0bV89xqZ+zlCdgVzQexGa6CQphm2B5DXjd5s0c5LWisaNFeMqVOWM1MztBPs4s7R6HJHfO7l7dYWIwRfVP6XEn5wQrrwaAETQlDYX/+dfes1PW0fceuqJ59dKk/wLv4xaM29aDerBAz+PRrHu3nrz96Cj5KJxqM+CNGVlz1H2+xENQ358KoiQuPRRUQJJ5wn4RVLCw=',s:[0x0bd730d9a3,0x0b605d9b01],}})();
  4. Services & Deployments within Kubernetes Stateless & Stateful Concepts, Pros & Cons Practical experience & Quizzes to complement theory learned Course content 4 sections • 27 lectures • 2h 26m total length Expand all sections Kubernetes Theory and Overview 8 lectures • 50min Course Introduction Preview 04:47 Containerisation and Orchestration Preview 05:15 Master & Nodes Preview 06:49 Pods 02:58 Services 07:00 Deployments 05:36 Defining Kubernetes Objects & Desired State 08:56 Stateless Vs Stateful 08:50 Theory Quiz 25 questions Setting Up GCP Kubernetes Environment 2 lectures • 13min GCP Console Sign-up and Walkthrough 04:36 Kubernetes Cluster Setup 08:06 Kubernetes Stateless Cluster Practical 12 lectures • 59min Stateless Cluster Walkthrough Preview 03:14 Stateless Practical Yaml File Walkthrough Part 1 04:10 Stateless Practical Yaml File Walkthrough Part 2 03:17 Setting Up Deployment Files 05:28 Stateless Practical Part 1 05:36 Stateless Practical Part 2 07:51 Stateless Practical Part 3 04:43 Stateless Practical Part 4 06:33 Stateless Practical Part 5 06:15 Stateless Practical Part 6 05:27 Stateless Practical Part 7 04:35 Practical Cleanup 01:54 Kubernetes Stateful Cluster Practical 5 lectures • 25min Stateful Cluster Practical Walkthrough 02:30 Stateful Practical Yaml File Walkthrough 04:08 Stateful Practical Part 1 07:07 Stateful Practical Part 2 04:24 Stateful Practical Part 3 & Cluster Cleanup 06:48 Requirements Some knowledge of Containers and Images will be useful Some understanding of Virtual Machines will be beneficial Desire to Learn! Description Hi I’m Sam, a big data engineer, cloud engineer and machine learning/AI Enthusiast teaching you Kubernetes using GCP’s Kubernetes Engine. I will teach you the core components of Kubernetes with various kubernetes specific concepts. Course is up to date uses the latest kubernetes version and all exercises can be done for free and on any operating system . Course will include a quiz at the end of the theory section to test and consolidate your learning. Two practicals focusing on the major architectural concepts within Kubernetes and containerisation will be presented to complement the theory learned. This course was designed to balance theory and practise to deepen your understanding and why we do things the way it’s done and not just show you how it’s done. I want you to understand the reason behind each decision made . Course is split up into sections as below: Containerisation and Orchestration - Explore the concept of containers and problems that kubernetes aims to solve. Master and Nodes - Main architecture of Kubernetes, will dig a little deeper into components and commonly used architectures. Pods - The building block of Kubernetes, will explain the main concept and commonly used example of pods. Services - Various options for connecting pods to external traffic. Deployments - Concept of replication set and launching of a kubernetes cluster. Desired State, Defining Kube Objects - Explore the concept of desired state and how to actually define kubernetes working parts before deploying. Stateless & Stateful - Main concepts comparing stateless architectures with stateful and why you would want to use one over another. Stateless Cluster Practical - This is a practical where we will build a stateless application and deploy the cluster. Stateful Cluster Practical - This is a practical where we will build a stateful application and deploy the cluster. Who this course is for: For anyone who wants to learn about Kubernetes For anyone who wants to learn Google Kubernetes Engine Show more Show less Instructor Samuel Lee Big Data Engineer|Cloud Engineer|ML and AI Enthusiast 4.3 Instructor Rating 2,071 Reviews 23,154 Students 3 Courses Hi I am Sam! A Big Data Engineer, Cloud Engineer and Machine Learning/AI Enthusiast. For my day to day activities I like to first start my day with a cup of Coffee then start solving real world problems mainly to do with Big Data technologies (Different Cloud Technologies mixed with Open Source systems such as hadoop vendors) and Websites (Backend APIs and Front End presentation). I am a certified Google Cloud Data Engineer and an AWS Solutions Architect. Happy to be a part of your learning journey of the ever changing landscape of programming. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'6778424c79ee40c5',m:'f31ccf169b72ef2de9d1b1219bca5b9fe052987a-1627749527-1800-AaF6hISaxo2QRfHWp0bV89xqZ+zlCdgVzQexGa6CQphm2B5DXjd5s0c5LWisaNFeMqVOWM1MztBPs4s7R6HJHfO7l7dYWIwRfVP6XEn5wQrrwaAETQlDYX/+dfes1PW0fceuqJ59dKk/wLv4xaM29aDerBAz+PRrHu3nrz96Cj5KJxqM+CNGVlz1H2+xENQ358KoiQuPRRUQJJ5wn4RVLCw=',s:[0x0bd730d9a3,0x0b605d9b01],}})();
  5. Stateless & Stateful Concepts, Pros & Cons Practical experience & Quizzes to complement theory learned Course content 4 sections • 27 lectures • 2h 26m total length Expand all sections Kubernetes Theory and Overview 8 lectures • 50min Course Introduction Preview 04:47 Containerisation and Orchestration Preview 05:15 Master & Nodes Preview 06:49 Pods 02:58 Services 07:00 Deployments 05:36 Defining Kubernetes Objects & Desired State 08:56 Stateless Vs Stateful 08:50 Theory Quiz 25 questions Setting Up GCP Kubernetes Environment 2 lectures • 13min GCP Console Sign-up and Walkthrough 04:36 Kubernetes Cluster Setup 08:06 Kubernetes Stateless Cluster Practical 12 lectures • 59min Stateless Cluster Walkthrough Preview 03:14 Stateless Practical Yaml File Walkthrough Part 1 04:10 Stateless Practical Yaml File Walkthrough Part 2 03:17 Setting Up Deployment Files 05:28 Stateless Practical Part 1 05:36 Stateless Practical Part 2 07:51 Stateless Practical Part 3 04:43 Stateless Practical Part 4 06:33 Stateless Practical Part 5 06:15 Stateless Practical Part 6 05:27 Stateless Practical Part 7 04:35 Practical Cleanup 01:54 Kubernetes Stateful Cluster Practical 5 lectures • 25min Stateful Cluster Practical Walkthrough 02:30 Stateful Practical Yaml File Walkthrough 04:08 Stateful Practical Part 1 07:07 Stateful Practical Part 2 04:24 Stateful Practical Part 3 & Cluster Cleanup 06:48 Requirements Some knowledge of Containers and Images will be useful Some understanding of Virtual Machines will be beneficial Desire to Learn! Description Hi I’m Sam, a big data engineer, cloud engineer and machine learning/AI Enthusiast teaching you Kubernetes using GCP’s Kubernetes Engine. I will teach you the core components of Kubernetes with various kubernetes specific concepts. Course is up to date uses the latest kubernetes version and all exercises can be done for free and on any operating system . Course will include a quiz at the end of the theory section to test and consolidate your learning. Two practicals focusing on the major architectural concepts within Kubernetes and containerisation will be presented to complement the theory learned. This course was designed to balance theory and practise to deepen your understanding and why we do things the way it’s done and not just show you how it’s done. I want you to understand the reason behind each decision made . Course is split up into sections as below: Containerisation and Orchestration - Explore the concept of containers and problems that kubernetes aims to solve. Master and Nodes - Main architecture of Kubernetes, will dig a little deeper into components and commonly used architectures. Pods - The building block of Kubernetes, will explain the main concept and commonly used example of pods. Services - Various options for connecting pods to external traffic. Deployments - Concept of replication set and launching of a kubernetes cluster. Desired State, Defining Kube Objects - Explore the concept of desired state and how to actually define kubernetes working parts before deploying. Stateless & Stateful - Main concepts comparing stateless architectures with stateful and why you would want to use one over another. Stateless Cluster Practical - This is a practical where we will build a stateless application and deploy the cluster. Stateful Cluster Practical - This is a practical where we will build a stateful application and deploy the cluster. Who this course is for: For anyone who wants to learn about Kubernetes For anyone who wants to learn Google Kubernetes Engine Show more Show less Instructor Samuel Lee Big Data Engineer|Cloud Engineer|ML and AI Enthusiast 4.3 Instructor Rating 2,071 Reviews 23,154 Students 3 Courses Hi I am Sam! A Big Data Engineer, Cloud Engineer and Machine Learning/AI Enthusiast. For my day to day activities I like to first start my day with a cup of Coffee then start solving real world problems mainly to do with Big Data technologies (Different Cloud Technologies mixed with Open Source systems such as hadoop vendors) and Websites (Backend APIs and Front End presentation). I am a certified Google Cloud Data Engineer and an AWS Solutions Architect. Happy to be a part of your learning journey of the ever changing landscape of programming. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'6778424c79ee40c5',m:'f31ccf169b72ef2de9d1b1219bca5b9fe052987a-1627749527-1800-AaF6hISaxo2QRfHWp0bV89xqZ+zlCdgVzQexGa6CQphm2B5DXjd5s0c5LWisaNFeMqVOWM1MztBPs4s7R6HJHfO7l7dYWIwRfVP6XEn5wQrrwaAETQlDYX/+dfes1PW0fceuqJ59dKk/wLv4xaM29aDerBAz+PRrHu3nrz96Cj5KJxqM+CNGVlz1H2+xENQ358KoiQuPRRUQJJ5wn4RVLCw=',s:[0x0bd730d9a3,0x0b605d9b01],}})();
  6. Practical experience & Quizzes to complement theory learned Course content 4 sections • 27 lectures • 2h 26m total length Expand all sections Kubernetes Theory and Overview 8 lectures • 50min Course Introduction Preview 04:47 Containerisation and Orchestration Preview 05:15 Master & Nodes Preview 06:49 Pods 02:58 Services 07:00 Deployments 05:36 Defining Kubernetes Objects & Desired State 08:56 Stateless Vs Stateful 08:50 Theory Quiz 25 questions Setting Up GCP Kubernetes Environment 2 lectures • 13min GCP Console Sign-up and Walkthrough 04:36 Kubernetes Cluster Setup 08:06 Kubernetes Stateless Cluster Practical 12 lectures • 59min Stateless Cluster Walkthrough Preview 03:14 Stateless Practical Yaml File Walkthrough Part 1 04:10 Stateless Practical Yaml File Walkthrough Part 2 03:17 Setting Up Deployment Files 05:28 Stateless Practical Part 1 05:36 Stateless Practical Part 2 07:51 Stateless Practical Part 3 04:43 Stateless Practical Part 4 06:33 Stateless Practical Part 5 06:15 Stateless Practical Part 6 05:27 Stateless Practical Part 7 04:35 Practical Cleanup 01:54 Kubernetes Stateful Cluster Practical 5 lectures • 25min Stateful Cluster Practical Walkthrough 02:30 Stateful Practical Yaml File Walkthrough 04:08 Stateful Practical Part 1 07:07 Stateful Practical Part 2 04:24 Stateful Practical Part 3 & Cluster Cleanup 06:48 Requirements Some knowledge of Containers and Images will be useful Some understanding of Virtual Machines will be beneficial Desire to Learn! Description Hi I’m Sam, a big data engineer, cloud engineer and machine learning/AI Enthusiast teaching you Kubernetes using GCP’s Kubernetes Engine. I will teach you the core components of Kubernetes with various kubernetes specific concepts. Course is up to date uses the latest kubernetes version and all exercises can be done for free and on any operating system . Course will include a quiz at the end of the theory section to test and consolidate your learning. Two practicals focusing on the major architectural concepts within Kubernetes and containerisation will be presented to complement the theory learned. This course was designed to balance theory and practise to deepen your understanding and why we do things the way it’s done and not just show you how it’s done. I want you to understand the reason behind each decision made . Course is split up into sections as below: Containerisation and Orchestration - Explore the concept of containers and problems that kubernetes aims to solve. Master and Nodes - Main architecture of Kubernetes, will dig a little deeper into components and commonly used architectures. Pods - The building block of Kubernetes, will explain the main concept and commonly used example of pods. Services - Various options for connecting pods to external traffic. Deployments - Concept of replication set and launching of a kubernetes cluster. Desired State, Defining Kube Objects - Explore the concept of desired state and how to actually define kubernetes working parts before deploying. Stateless & Stateful - Main concepts comparing stateless architectures with stateful and why you would want to use one over another. Stateless Cluster Practical - This is a practical where we will build a stateless application and deploy the cluster. Stateful Cluster Practical - This is a practical where we will build a stateful application and deploy the cluster. Who this course is for: For anyone who wants to learn about Kubernetes For anyone who wants to learn Google Kubernetes Engine Show more Show less Instructor Samuel Lee Big Data Engineer|Cloud Engineer|ML and AI Enthusiast 4.3 Instructor Rating 2,071 Reviews 23,154 Students 3 Courses Hi I am Sam! A Big Data Engineer, Cloud Engineer and Machine Learning/AI Enthusiast. For my day to day activities I like to first start my day with a cup of Coffee then start solving real world problems mainly to do with Big Data technologies (Different Cloud Technologies mixed with Open Source systems such as hadoop vendors) and Websites (Backend APIs and Front End presentation). I am a certified Google Cloud Data Engineer and an AWS Solutions Architect. Happy to be a part of your learning journey of the ever changing landscape of programming. 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