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Kubernetes Case Studies: Deploy & Troubleshoot Apps

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Kubernetes Case Studies: Deploy & Troubleshoot Apps

This course is part of Kubernetes Mastery: Build, Deploy & Troubleshoot Apps Specialization

Instructor: EDUCBA

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

8 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Configure and manage Kubernetes clusters and worker nodes.
Deploy secure, scalable apps with RBAC and persistent storage.
Build, monitor, and troubleshoot Docker-based Kubernetes setups.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments

Taught in English

91% of learners achieved a positive career outcome

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Kubernetes Mastery: Build, Deploy & Troubleshoot Apps Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

By the end of this course, learners will be able to set up Kubernetes clusters, initialize and manage worker nodes, deploy applications with secure practices, configure persistent storage, apply RBAC access control, troubleshoot cluster issues, and build and deploy custom Docker images. The course provides a complete, hands-on learning path that emphasizes both real-world use cases and enterprise-grade practices.

Learners will benefit by mastering the end-to-end Kubernetes workflow—from cluster installation and pod scheduling to monitoring with Prometheus and Grafana. Practical exercises ensure that students not only understand the theory but also gain the confidence to implement Kubernetes solutions in production environments. What makes this course unique is its dual focus: first, building a Kubernetes cluster to host containerized applications, and second, extending the learning with a custom Docker image deployment case study. This structured approach bridges fundamental Kubernetes operations with advanced deployment techniques, making the course highly relevant for developers, DevOps engineers, and IT professionals aiming to accelerate their container orchestration skills.

Module details

This module introduces the foundation of Kubernetes cluster setup, including installation, initialization, node management, and workload scheduling. Learners will gain practical skills in configuring a functional cluster, managing nodes, and scheduling pods with resource constraints.

What's included

9 videos4 assignments

9 videosTotal 82 minutes

Introduction to Project7 minutes
Kubernetes Installation12 minutes
Kubernetes Cluster Initialization10 minutes
Join Worker Node to the Cluster7 minutes
How to Drain Node for Maintenance10 minutes
Testing of Newly Created Cluster14 minutes
Schedule Pod Using Node Selector8 minutes
Pod Scheduling Using Node Affinity8 minutes
Resource Requests and Limits7 minutes

4 assignmentsTotal 60 minutes

Kubernetes Cluster Setup and Configuration30 minutes
Project Introduction and Installation10 minutes
Cluster Initialization and Node Management10 minutes
Cluster Testing and Pod Scheduling10 minutes

This module covers the deployment of applications in Kubernetes with secure and reliable practices. Learners will explore deployments, rollouts, persistent storage, cluster connectivity, and access control using RBAC, along with monitoring integration.