k8s devops
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Harness Kubernetes’ extensibility to deploy modern patterns and learn to effectively handle production issues
Key Features
- Build and run efficient cloud-native applications on Kubernetes using industry best practices
- Operate Kubernetes in a production environment, troubleshoot clusters, and address security concerns
- Deploy cutting-edge Kubernetes patterns such as service mesh and serverless to your cluster
Description
Kubernetes is a modern cloud native container orchestration tool and one of the most popular open source projects worldwide. In addition to the technology being powerful and highly flexible, Kubernetes engineers are in high demand across the industry.
This course is a comprehensive guide to deploying, securing, and operating modern cloud native applications on Kubernetes. From the fundamentals to Kubernetes best practices, this training covers essential aspects of configuring applications. You’ll even explore real-world techniques for running clusters in production, tips for setting up observability for cluster resources, and valuable troubleshooting techniques. Finally, you’ll learn how to extend and customize Kubernetes, as well as gaining tips for deploying service meshes, serverless tooling, and more on your cluster.
By the end of this Kubernetes course, you’ll be equipped with the tools you need to confidently run and extend modern applications on Kubernetes.
What you will learn
- Set up Kubernetes and configure its authentication
- Deploy your applications to Kubernetes
- Configure and provide storage to Kubernetes applications
- Expose Kubernetes applications outside the cluster
- Control where and how applications are run on Kubernetes
- Set up observability for Kubernetes
- Build a continuous integration and continuous deployment (CI/CD) pipeline for Kubernetes
- Extend Kubernetes with service meshes, serverless, and more
Intended Audience
This Learning Path is intended specifically for Docker and Kubernetes application developers. Anyone interested in learning how to work with Kubernetes will also benefit from this Learning Path.
Prerequisites
A solid understanding of containers, and Docker in particular, will be of value. If you are not comfortable with Docker and Kubernetes , you are encouraged to complete the Docker and Kubernetes Learning Path.This Learning path helps you to learn from fundamentals to advanced Docker and Kubernetes running on Linux machines. You should be comfortable working with basic Linux commands.
Additional Documentation
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5Introduction
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6Preparing For The Exercises
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7Exploring Terraform Variables
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8Creating The Credentials
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9Defining The Provider
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10Storing The State In A Remote Backend
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11Creating The Control Plane
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12Exploring Terraform Outputs
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13Creating Worker Nodes
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14Upgrading The Cluster
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15Reorganizing The Definitions
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16Destroying The Resources
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17Preparing For The Exercises
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18Exploring Terraform Variables
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19Creating The Credentials
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20Storing The State In A Remote Backend
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21Creating The Control Plane
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22Exploring Terraform Outputs
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23Creating Worker Nodes
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24Upgrading The Cluster
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25Reorganizing The Definitions
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26Destroying The Resources
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27Introduction
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28Preparing For The Exercises
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29Exploring Terraform Variables
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30Creating The Credentials
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31Storing The State In A Remote Backend
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32Creating The Control Plane
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33Exploring Terraform Outputs
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34Creating Worker Nodes
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35Upgrading The Cluster
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36Dealing With A Bug That Prevents Upgrade Of Node Pools
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37Reorganizing The Definitions
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38Destroying The Resources
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39Using Helm As A Package Manager For Kubernetes
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40Defining A Scenario
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41Preparing For The Exercises
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42Creating Helm Charts
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43Adding Application Dependencies
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44Deploying Applications To Production
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45Deploying Applications To Development And Preview Environments
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46Deploying Applications To Permanent Non-Production Environments
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47Packaging And Deploying Releases
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48Rolling Back Releases
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49What Did We Do Wrong?
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50Destroying The Resources
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66Introduction
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67Discussing The "Real" Expectations
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68Deploying Applications To Google Cloud Run
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69Deploying Applications To Amazon Elastic Container Service (ECS) With Fargate
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70Deploying Applications To Azure Container Instances
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71To CaaS Or NOT To CaaS?
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72Personal Thoughts About Managed CaaS
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85Discussing Deployments And Environments
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86Applying GitOps Principles Using Argo CD
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87Installing And Configuring Argo CD
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88Deploying An Application With Argo CD
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89Defining Whole Environments
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90Creating An Environment As An Application Of Applications
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91Updating Applications Through GitOps Principles
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92Destroying The Resources
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93Using Argo Rollouts To Deploy Applications
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94Installing And Configuring Argo Rollouts
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95Exploring Argo Rollouts Definitions
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96Deploying The First Release
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97Deploying New Releases Using The Canary Strategy
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98Rolling Back New Releases
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99Exploring Prometheus Metrics And Writing Rollout Queries
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100Exploring Automated Analysis
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101Deploying Releases With Fully Automated Steps
Coming Soon