Kubernetes On The Cloud & The CNCF CKA Certification

Kubernetes On The Cloud & The CNCF CKA Certification, available at $74.99, has an average rating of 4.05, with 132 lectures, 7 quizzes, based on 1105 reviews, and has 6784 subscribers.

You will learn about Improve their odds of succeeding at the CNCF Certified Kubernetes Administrator test Build and administer Kubernetes clusters – on-premise, as well as on all major cloud platforms (AWS, Azure, GCP) Understand and employ advanced deployment solutions using Kubernetes Master the important aspects of Kubernetes – pods, replicasets, deployments and services This course is ideal for individuals who are Cloud Architects looking to understand the compute choices on AWS, Azure and GCP or Technical decision makers evaluating a hybrid, multi-cloud solution or Devops professionals looking to master Kubernetes or Anyone seeking to take and pass the CNCF Certified Kubernetes Administrator test It is particularly useful for Cloud Architects looking to understand the compute choices on AWS, Azure and GCP or Technical decision makers evaluating a hybrid, multi-cloud solution or Devops professionals looking to master Kubernetes or Anyone seeking to take and pass the CNCF Certified Kubernetes Administrator test.

Enroll now: Kubernetes On The Cloud & The CNCF CKA Certification

Summary

Title: Kubernetes On The Cloud & The CNCF CKA Certification

Price: $74.99

Average Rating: 4.05

Number of Lectures: 132

Number of Quizzes: 7

Number of Published Lectures: 132

Number of Published Quizzes: 7

Number of Curriculum Items: 139

Number of Published Curriculum Objects: 139

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Improve their odds of succeeding at the CNCF Certified Kubernetes Administrator test
Build and administer Kubernetes clusters – on-premise, as well as on all major cloud platforms (AWS, Azure, GCP)
Understand and employ advanced deployment solutions using Kubernetes
Master the important aspects of Kubernetes – pods, replicasets, deployments and services

Who Should Attend

Cloud Architects looking to understand the compute choices on AWS, Azure and GCP
Technical decision makers evaluating a hybrid, multi-cloud solution
Devops professionals looking to master Kubernetes
Anyone seeking to take and pass the CNCF Certified Kubernetes Administrator test

Target Audiences

Cloud Architects looking to understand the compute choices on AWS, Azure and GCP
Technical decision makers evaluating a hybrid, multi-cloud solution
Devops professionals looking to master Kubernetes
Anyone seeking to take and pass the CNCF Certified Kubernetes Administrator test

Kubernetes is a container orchestration technology – a way to create and deploy clusters of machines running containers, usually Docker containers.

Kubernetes is also one of the hottest topics in tech today, because it is perhaps the only straightforward way to architect a hybrid, multi-cloud compute solution.

Let’s parse that:

Hybrid:This is a solution where an enterprise has a private cloud or on-premise data center, in addition to using one of the public cloud providers (such as AWS, GCP or Azure). Any firm migrating to the cloud is going to have to run a hybrid setup, at least during the migration
Multi-cloud: This refers to the use of more than 1 cloud provider. Why is this so important? Well, because most large firms are unwilling to be completely locked into one provider, particularly after events like Amazon’s acquisition of Whole Foods (that gave pause to a whole lot of potential AWS customers, who decided that ‘multi-cloud’ makes sense for strategic reasons)
Only straightforward way:�Most cloud providers offer a range of compute solutions, ranging from PaaS (Elastic Beanstalk, or Google App Engine) to IaaS (EC2, or Google Compute Engine VMs). The reality is that PaaS ties you down to 1 cloud provider, and IaaS is a lot of hassle, during migration and beyond.
Kubernetes is supported by each of the Big-3: GCP has a special relationship with Kubernetes (since K8S originated at Google) but now AWS and Azure support it as well. Kubernetes has won the battle of the container orchestration systems.

This is why containers running on Kubernetes constitute the hottest compute choice for a hybrid, multi-cloud world.

Here is now is what this course contains:

Docker, Kubernetes and the cloud platforms: understanding the inter-relationships
Pods and containers: Pods are the basic building block in K8S; each pod holds one or more containers that are tightly-coupled to each other
ReplicaSets: Higher-level abstractions that provide scaling and auto-healing (they encapsulate pods, and bring new pods back up if the old ones crash)
Deployments: Even higher-level abstractions that provide versioning, fast rollback, rolling updates and more
Services: Front-end abstractions (think of them as similar to load-balancers) that are loosely coupled with backend pods. Services provide a static, stable network frontend IP, as well as load-balancing
Other K8S objects: StatefulSets, Secrets, ConfigMaps, Jobs and CronJobs and more
CKA test tips: We don’t reveal any information about the test that we should not, such as specific questions. But we do discuss the test format, what to expect, pitfalls to avoid, and strategies for success�

Hope you enjoy the course!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Source Code and PDFs

Lecture 3: CKA Test Prep

Lecture 4: Why Is Kubernetes So Hot Right Now?

Lecture 5: Containers vs. Virtual Machines

Lecture 6: What Is Docker?

Lecture 7: What Is Kubernetes?

Chapter 2: Getting Started With Kubernetes

Lecture 1: Getting Started With the GCP

Lecture 2: Setting Up A GCP Account

Lecture 3: Using The Cloud Shell

Lecture 4: An end-to-end example: Kubernetes on the GKE

Chapter 3: Kubernetes and the Cloud Ecosystem

Lecture 1: How Kubernetes Works

Lecture 2: The Role of the Master Node

Lecture 3: Nodes, Kube-proxy, Kubelet

Lecture 4: What Is A Pod?

Lecture 5: Lab:Creating pods imperatively

Lecture 6: Where Do Pods Run?

Lecture 7: Can Pods Have Multiple Containers?

Lecture 8: Lab:Multi-container Pods

Lecture 9: How Do Master Nodes Communicate?

Lecture 10: Where Can We Run Kubernetes?

Lecture 11: Kubernetes for a Hybrid Multi-cloud World

Lecture 12: Cloud Controllers

Lecture 13: Interacting with Kubernetes

Chapter 4: Pods

Lecture 1: Lab:Creating pods declaratively

Lecture 2: Imperative or Declarative?

Lecture 3: How Declarative Files are Applied

Lecture 4: The Pros and Cons of Declarative and Imperative Object Management

Lecture 5: Names and UIDs

Lecture 6: Namespaces

Lecture 7: Labels

Lecture 8: Label Selectors Loose Coupling

Lecture 9: Annotations

Lecture 10: Lab:Deletion of pods

Lecture 11: Lab:Editing the configuration information of the deployment

Lecture 12: Lab: Scaling The Number of Pods using Deployments

Chapter 5: Volumes and Storage

Lecture 1: Volumes

Lecture 2: Lab:Volumes and the emptydir volume

Lecture 3: Types Of Volumes

Lecture 4: Persistent_Volumes

Lecture 5: Cloud Specific Persistent Volumes

Lecture 6: Lab:Persistent Volumes

Lecture 7: Secrets, ConfigMaps and Other Volume Types

Lecture 8: Lab:Use of secrets pass information to pods

Lecture 9: Lab:Create secrets directly from files

Lecture 10: Lab: ConfigMaps

Chapter 6: More on Pods and Containers

Lecture 1: Containers in a Pod

Lecture 2: Lab:kubectl apply

Lecture 3: What Environment Do Containers See?

Lecture 4: Lab:Setting Environment Variables in Containers

Lecture 5: Lab:Downward API Passing information from pod to container

Lecture 6: How Can Containers React To Lifecycle Events?

Lecture 7: Lab:Handling Container Lifecycle Events

Lecture 8: Pod Node Matching

Lecture 9: Lab:Associating Pods with Nodes using nodeSelector

Lecture 10: Taints

Lecture 11: Lab:kubectl_taint

Lecture 12: Lab:Tolerations

Lecture 13: Init Containers

Lecture 14: Lab:Init containers Setting up the state of the pods

Lecture 15: Pod Lifecycle

Lecture 16: Container Probes

Lecture 17: Lab:Use of Liveness and Readiness Probes

Lecture 18: Lab:Liveness probes Using HTTP and TCP

Lecture 19: Pod Presets

Lecture 20: Pod Priorities

Chapter 7: ReplicaSets

Lecture 1: Introducing Controllers

Lecture 2: What Are ReplicaSets?

Lecture 3: Lab:ReplicaSet object

Lecture 4: Working with ReplicaSets

Lecture 5: Lab:Deleting a ReplicaSet and its associated pods

Lecture 6: Lab:Deleting a ReplicaSet but not the associated pods

Lecture 7: ReplicaSets and Loose Coupling

Lecture 8: Horizontal Pod Autoscalers

Lecture 9: Lab:Loose coupling between ReplicaSet object and the pods

Lecture 10: Lab:Scaling a ReplicaSet object

Chapter 8: ReplicationControllers

Lecture 1: Replication Controllers

Lecture 2: Lab:Replication controller

Lecture 3: Lab:Deleting a replication controller and the associated pods

Lecture 4: Lab:Deleting a replication controller but not its pods

Lecture 5: Lab:Loose coupling between replication controller and its pods

Chapter 9: Deployments

Lecture 1: Deployments

Lecture 2: When Use Deployments

Lecture 3: Creating a Deployment

Lecture 4: Lab:kubectl run Create deployments imperatively

Lecture 5: Lab:YAML files for Deployment objects

Lecture 6: Rolling Back Deployment

Instructors

Loony Corn
An ex-Google, Stanford and Flipkart team

Rating Distribution

1 stars: 24 votes
2 stars: 41 votes
3 stars: 210 votes
4 stars: 448 votes
5 stars: 382 votes

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