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Introduction to DevOps with Kubernetes

Duration : 3 Days

The course begins with an overview of Kubernetes primitives and DevOps concepts.

You’ll understand how Kubernetes can assist you with overcoming a wide range of real-world operation challenges. You will get to grips with creating and upgrading a cluster, and then learn how to deploy, update, and scale an application on Kubernetes. As you advance through the chapters, you’ll be able to monitor an application by setting up a pod failure alert on Prometheus. The course will also guide you in configuring Alert manager to send alerts to the Slack channel and trace down a problem on the application using kubectl commands. By the end of this course, you’ll be able to manage the lifecycle of simple to complex applications on Kubernetes with confidence.


Introduction to DevOps with Kubernetes focuses on leading you with engaging projects that have a direct correlation to how DevOps developers work on Kubernetes in the real world. You’ll not only learn concepts, but you’ll also build out example portfolio pieces and tackle intellectual challenges that prepare you for technical screenings and complex software lifecycle problems.

Course Objectives

• Create and manage Kubernetes clusters in on-premise systems and cloud
• Exercise various DevOps practices using Kubernetes
• Explore configuration, secret, and storage management, and exercise these on Kubernetes
• Perform different update techniques and apply them on Kubernetes
• Use the built-in scaling feature in Kubernetes to scale your applications up and down
• Use various troubleshooting techniques and have a monitoring system installed on Kubernetes

Target Audience

If you are a developer who wants to learn how to apply DevOps patterns using Kubernetes, then this course is for you. Familiarity with Kubernetes will be useful, but not essential.

Technical Requirements

This course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:
• Processor: Intel Core i5 or equivalent
• Memory: 8GB RAM (16 GB Preferred)
• Storage: 10 GB available space
• Internet connection

• Git
• Sublime Text (latest version), Atom IDE (latest version), or another similar text editor application

Course Outline

Lesson 1: Introduction to DevOps
• Introduction to DevOps with Kubernetes
• DevOps’ Effect on Industry
• DevOps Culture and its Benefits
• The DevOps Toolchain

Lesson 2: Introduction to Microservices and Containers
• Introduction to Docker
• Building Docker Images
• Running Docker Containers

Lesson 3: Introduction to Kubernetes
• Kubernetes Architecture
• Accessing Kubernetes Clusters
• Fundamental Kubernetes Resources

Lesson 4: Creating a Kubernetes Cluster
• Introduction to Kubernetes Clusters.
• Manual Kubernetes Cluster Setup
• Kubernetes Cluster Considerations
• Kubernetes Platform Options

Lesson 5: Deploy an Application to Kubernetes
• Object Management in Kubernetes
• Service Discovery in Kubernetes
• Kubernetes Package Manager: Helm

Lesson 6: Configuration and Storage Management in Kubernetes
• Configuration Management
• Configuration Management in Kubernetes
• Secret Management
• Storage Management in Kubernetes

Lesson 7: Updating and Scaling an Application in Kubernetes
• Blue-Green Deployments
• Rolling Updates
• Canary Releases
• Dark Launches and Feature Toggles
• Updating an Application in Kubernetes
• Scaling an Application in Kubernetes

Lesson 8: Troubleshooting Applications in Kubernetes
• Troubleshooting
• Troubleshooting Applications in Kubernetes

Lesson 9: Monitoring Applications in Kubernetes
• Monitoring
• Custom Metrics
• Exposed Metrics in Kubernetes


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