Kubernetes Essential Training: Application Development

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Free Online Course: Kubernetes Essential Training: Application Development provided by LinkedIn Learning is a comprehensive online course, which lasts for 3-4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Kubernetes Essential Training: Application Development is taught by Matt Turner.

Overview
  • Take your Kubernetes knowledge from theory to practice. Learn how to use Kubernetes to develop and run real-world applications.

Syllabus
  • Introduction

    • Kubernetes for developers
    • Getting started with Kubernetes
    1. Getting Started with Your Cluster
    • Running a local Kubernetes cluster with Minikube
    • Running your first container
    • Serving from your Pod
    • Exposing your Pod to the outside world
    • Handling ingress in Kubenetes
    2. Exploring the Cluster
    • Taking a look around with kubectl
    • Viewing logs for pods
    • Remotely executing commands
    • A web view of the cluster with the Kubernetes Dashboard
    3. Real-World Workloads
    • Orchestrating real-world workloads with deployments and StatefulSets
    • Safe upgrades with rolling updates and rollbacks
    • Batch processing with jobs and CronJobs
    4. Teaching K8s about Your Service
    • Ensuring availability with liveness and readiness probes
    • Managing resource usage with requests and limits
    • The scheduler and influencing container placement
    • Node affinity and anti-affinity
    • The Horizontal Pod Autoscaler (HPA)
    • Providing configuration with ConfigMaps
    • Supplying sensitive data with Secrets
    • Keeping secure with network policies
    • Role-based access control in Kubernetes
    • Working with RBAC
    5. Advanced Deployment Patterns
    • Namespaces in Kubernetes
    • Working with namespaces
    • Adding functionality with sidecars
    • Adding a service mesh using sidecars
    • Analyzing traffic with Linkerd
    • Extending Kubernetes with operators and Custom Resource Definitions
    6. Development Tools
    • Tools for DRY deployments: Motivation
    • Tools for DRY deployments: Helm
    • Tools for DRY deployments: Kustomize
    • Tools for DRY deployments: Advice
    • Advanced Debugging: kubectl debug
    • Advanced Debugging: nixery.dev
    • Advanced Debugging: kubectl sniff
    • Just like being there: skaffold
    • Just like being there: telepresence
    • Running your clusters
    Conclusion
    • Where to find additional information