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Kubernetes Case Studies: Deploy & Troubleshoot Apps

Name: Kubernetes Case Studies: Deploy & Troubleshoot Apps
Price: 49 USD
Availability: InStock

About this course

Build practical Kubernetes expertise by setting up, securing, monitoring, and troubleshooting clusters for containerized applications. You’ll install Kubernetes on virtual machines, initialize a cluster, connect and manage worker nodes, validate cluster readiness, and schedule pods using node selectors, affinity, and resource requests. You’ll then deploy applications, manage rollouts and rollbacks, configure persistent storage, establish certificate-based cluster connectivity, and apply RBAC roles and role bindings. You’ll also integrate Prometheus and Grafana to support monitoring and observability. As you progress, you’ll examine Kubernetes architecture, expose applications through Services, and diagnose cluster issues using essential commands and techniques. Designed for developers, DevOps engineers, and IT professionals, this course emphasizes hands-on Kubernetes case studies and secure, reliable deployment practices. Its distinctive two-part focus takes you from building a functional cluster for hosted applications to creating, verifying, uploading, and deploying a custom Docker image. Enroll to develop an end-to-end Kubernetes workflow and the practical ability to configure clusters, deploy applications, control access, monitor operations, and resolve common issues.

68/100

CourseAsk score

What the provider tells you: 32/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

set up Kubernetes clusters
manage worker nodes
deploy applications securely
configure persistent storage
apply RBAC access control
troubleshoot cluster issues
build and deploy custom Docker images

DevOps #cloud computing #kubernetes #container orchestration #rbac #persistent storage #docker #prometheus #grafana #troubleshooting #application deployment

$49.00

Price shown by Coursera — confirm on their site.

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