Kubernetes Bootcamp: Conquer Kubernetes from Zero to Cloud

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Jose Portilla,Rayan Slim

6:30:57

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1 - Introduction

1 - Introduction.mp4

01:39

2 - Join the Community.html

3 - Discover More Valuable Content.html

4 - Your Instructor.html

2 - Project Files

5 - Project Files.html

3 - Containers Crash Course Optional

6 - Containers Crash Course Optional.html

4 - Why Kubernetes Dominates the Cloud

7 - Why Kubernetes Dominates the Cloud Kubernetes Overview.mp4

09:06

5 - Downloads and Setup

8 - Setting Up a SingleNode Kubernetes Cluster.mp4

05:08

9 - VS Code Kubernetes Extension Setup.mp4

00:56

6 - Pods and Containers

10 - Pods and Containers.mp4

37:34

11 - Extra Practice Grade Submission API.mp4

15:35

12 - Key Takeaways.html

7 - Service Discovery

13 - Service Discovery.mp4

18:36

14 - Key Takeaways.html

8 - Namespace

15 - Namespace.mp4

12:08

16 - Key Takeaways.html

9 - Resiliency and Self Healing

17 - Resiliency and Self Healing.mp4

10:15

18 - Key Takeaways.html

10 - Deployments and Pod Replicas

19 - Deployments and Pod Replicas.mp4

13:13

20 - Automated Deployment.mp4

02:15

21 - Key Takeaways.html

11 - Rolling Updates and Rollbacks

22 - Rolling Updates and Rollbacks.mp4

09:04

23 - Key Takeaways.html

12 - Liveness and Readiness Probes

24 - Liveness and Readiness Probes.mp4

16:03

25 - Key Takeaways.html

13 - StatefulSet and Persistent Volumes

26 - Anatomy of a Connection String.html

27 - StatefulSet and Persistent Volumes.mp4

29:18

28 - Database Authentication.mp4

11:14

29 - Key Takeaways.html

14 - ConfigMap and Secret

30 - ConfigMap and Secret.mp4

20:50

31 - Key Takeaways.html

15 - Horizontal Pod Autoscaler HPA

32 - Horizontal Pod Autoscaler.mp4

16:01

32 - metrics-server-command.txt

33 - Followup.mp4

00:41

34 - Key Takeaways.html

16 - Ingress Controller

35 - Ingress Controller.mp4

13:31

35 - ingress-nginx-command.txt

36 - Key Takeaways.html

17 - Helm Charts

37 - Action Required Installing Helm Mac.html

38 - Action Required Installing Helm Windows.html

39 - Installing Helm Charts.mp4

34:42

40 - Upgrading our Helm Charts.mp4

16:12

41 - Key Takeaways.html

18 - Helm Package Manager

42 - Helm Package Manager.mp4

35:24

42 - agent-image-version.zip

42 - crd-sample.txt

43 - Key Takeaways.html

19 - Kubernetes Operators

44 - Kubernetes Operators.mp4

39:29

45 - Cleaning Up.mp4

02:24

46 - Key Takeaways.html

20 - Preparing for Deployment

47 - Roadmap.html

48 - Setting up an AWS Account and IAM User.html

49 - Setting up AWS CLI Mac.html

50 - Setting up AWS CLI Windows.html

51 - Setting up eksctl Mac.html

52 - Setting up eksctl Windows.html

21 - Deploying to AWS

53 - Deploying to AWS.mp4

15:56

53 - ingress-nginx-command.txt

54 - Key Takeaways.html

55 - Final Clean Up.mp4

03:43

Description

Orchestrate Cloud Native Applications at Scale with Kubernetes!

What You'll Learn?

Deploy containerized applications using Kubernetes pods
Implement service discovery for inter-application communication
Organize and isolate resources using Kubernetes namespaces
Scale applications using Kubernetes Deployments
Deploy databases using StatefulSets and manage storage with Persistent Volumes
Separate configuration from code using ConfigMaps and Secrets
Implement automatic scaling with Horizontal Pod Autoscaler (HPA)
Manage external access to services using Ingress Controllers
Streamline application deployment using Helm Charts
Automate complex application management with Kubernetes Operators
Deploy a Kubernetes cluster to Amazon Web Services (AWS)
Understand and apply Kubernetes' self-healing and resilience features
Perform rolling updates and rollbacks for zero-downtime deployments
Implement health checks using Liveness and Readiness probes
Use the Kubernetes CLI and VS Code extensions for efficient cluster management

Who is this for?

Software developers looking to transition to cloud-native development

Students and professionals wanting to future-proof their careers in cloud computing

DevOps engineers seeking to enhance their Kubernetes skills

Cloud architects interested in mastering Kubernetes for large-scale deployments

Anyone with basic Docker knowledge looking to advance their container orchestration skills

What You Need to Know?

Familiarity with any programming language will be helpful, but no expert-level skills are required.

Some comfort with using command-line interfaces will be beneficial, but we'll review essential commands.

You'll need a computer (Windows, Mac, or Linux) with a stable internet connection to follow along with the hands-on exercises.

A basic understanding of containerization concepts is recommended. However, we provide an optional Docker crash course for those new to containerization.

The most important prerequisite is enthusiasm and a desire to learn about cloud-native technologies!

More details

Description
Since its open-source release by Google in 2014, Kubernetes has revolutionized cloud computing. Now supported by major cloud providers like AWS, Azure, and Google Cloud, it's the industry standard for managing cloud-native applications at scale.
This comprehensive course will guide you through developing and deploying cloud-native applications on Kubernetes. From foundational concepts to advanced techniques, you'll gain hands-on experience with key Kubernetes features and best practices. The course culminates in a real-world deployment to Amazon Web Services (AWS), providing you with practical, applicable skills for cloud-native development.
By the end of this course, you will be able to:
Deploy containerized applications using Kubernetes pods
Implement service discovery for inter-application communication
Organize and isolate resources using Kubernetes namespaces
Scale applications using Kubernetes Deployments
Deploy databases using StatefulSets and manage storage with Persistent Volumes
Separate configuration from code using ConfigMaps and Secrets
Implement automatic scaling with Horizontal Pod Autoscaler (HPA)
Manage external access to services using Ingress Controllers
Streamline application deployment using Helm Charts
Automate complex application management with Kubernetes Operators
Deploy a Kubernetes cluster to Amazon Web Services (AWS)
Understand and apply Kubernetes' self-healing and resilience features
Perform rolling updates and rollbacks for zero-downtime deployments
Implement health checks using Liveness and Readiness probes
Use the Kubernetes CLI and VS Code extensions for efficient cluster management
Enroll in our Kubernetes Bootcamp today and gain the practical skills you need to effectively orchestrate your cloud native projects.
Who this course is for:
Software developers looking to transition to cloud-native development
Students and professionals wanting to future-proof their careers in cloud computing
DevOps engineers seeking to enhance their Kubernetes skills
Cloud architects interested in mastering Kubernetes for large-scale deployments
Anyone with basic Docker knowledge looking to advance their container orchestration skills

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Kubernetes

Jose Portilla

Instructor's Courses

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.

Rayan Slim

Instructor's Courses

Rayan is a full-stack software developer based in Ottawa, Canada.Rayan has been appointed as an acting tech lead at Canada's IRCC. His main role is to set up infrastructure monitoring tools to extract health metrics from cloud-native applications.Rayan also takes leadership roles as he guides other developers towards building Spring Boot applications that implement Enterprise Integration Patterns using the Apache Camel framework. His supervision extends to showing developers how to deploy their applications on the Red Hat Openshift platform using the Kubernetes package manager Helm. Outside of his daily work, Rayan loves to explore new technologies. He is deeply passionate about Artificial Intelligence and Data Visualization.In Rayan's free time, he loves to teach!

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