Course Content
Module 1: Introduction to Kubernetes
Objective: Understand the purpose of Kubernetes and its role in managing containerized applications.
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Lesson 1.1: What is Kubernetes?
Lesson 1.2: Core Concepts of Kubernetes
Lesson 1.3: Kubernetes vs. Alternatives
Module 1 Quiz
Module 1 Summary
Module 2: Setting Up Kubernetes
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Lesson 2.1: Installing Kubernetes Locally
Lesson 2.2: Cloud-Based Kubernetes Setup
Lesson 2.3: Configuring a Cluster
Quiz 2
Module 2 Summary
Module 3: Kubernetes Architecture Deep Dive
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Lesson 3.1: Understanding Kubernetes Objects
Lesson 3.2: The Role of the Control Plane
Lesson 3.3: Kubernetes Networking
QUIZ 3
Module 4: Deploying Applications in Kubernetes
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Lesson 4.1: Deploying a Simple Application
Lesson 4.2: Scaling Applications
Lesson 4.3: Rolling Updates and Rollbacks
Module 4: Summary
Module 5: Advanced Workload Management in Kubernetes
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Lesson 5.1: Stateful Applications with StatefulSets
Lesson 5.2: Jobs and CronJobs
Lesson 5.3: Kubernetes DaemonSets
Module 5 Summary
Module 6: Monitoring, Logging, and Troubleshooting Kubernetes Clusters
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Lesson 6.1: Kubernetes Monitoring with Metrics Server and Prometheus
Lesson 6.2: Centralized Logging with Fluentd and Elasticsearch
Lesson 6.3: Troubleshooting Kubernetes Clusters
Module 6 Summary
Quiz 6
Module 7: Securing Kubernetes Clusters
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Lesson 7.1: Kubernetes Security Fundamentals
Lesson 7.2: Network Policies and Segmentation
Lesson 7.3: Securing Secrets and Configuration Data
Lesson 7.4: Pod Security Policies and Admission Controllers
Module 7 Summary
Quiz 7
Module 8: Scaling and High Availability in Kubernetes
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Lesson 8.1: Horizontal Pod Autoscaling (HPA)
Lesson 8.2: Cluster Autoscaling
Lesson 8.3: Scaling Strategies for Stateful Workloads
Lesson 8.4: High Availability in Kubernetes
Module 8 Quiz
Module 8 Summary
Final Module: Capstone Project
Project Description: This capstone project challenges you to apply the Kubernetes concepts and techniques you’ve learned throughout this course. You will deploy a production-grade application that integrates key features, including scaling, monitoring, logging, and security, while ensuring high availability and performance.
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Project Title: Deploying a Production-Grade Application on Kubernetes
Task 1: Application Deployment
Task 2: Implement Scaling and High Availability
Task 3: Monitoring and Logging
Task 4: Secure the Cluster and Application
Task 5: Validation and Demonstration
Grading Criteria:
Capstone Submission
Mastering Kubernetes: Orchestrating Containerized Applications
About Lesson

  • The Metrics Server and Prometheus provide critical insights into cluster performance.

  • Fluentd and Elasticsearch enable centralized logging for better log management and analysis.

  • Effective troubleshooting involves using kubectl commands to diagnose and resolve issues at the Pod, Node, and Network levels.

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