Kubernetes Tutorial

Kubernetes is an open-source container management platform.

• Automates the deployment, management, and scaling of container-based applications.
• Developed at Google in 2014, Kubernetes draws on Google’s production experience and is now maintained by the Cloud Native Computing Foundation.
• It orchestrates containers grouping them into logical units called pods and managing their lifecycle across a cluster of machines.
• It automatically restarts failed containers, replaces them when necessary, and reschedules workloads onto healthy nodes to maintain the desired state.

Basics of Kubernetes

Kubernetes is like a ship captain for containers, organizing and placing them on multiple computers (like a ship carrying many containers). This introduction will explain key Kubernetes ideas like Pods, Services, and Deployments.

• Introduction to Kubernetes
  
• Architecture
• Installation Methods
• Installation of Kubernetes on Ubuntu

Objects

• Concept of Containers
• Introduction to Container Orchestration
• Images
• Jobs
• Labels & Selectors
  
• Pod
• Namespace
• Node
• Pod
• Run a Command in Pod's Containers
• Create Multiple Container in a Pod
• Replication Controller
• Difference Between Replicaset and Replication Controller
• Deployments
  
• Replicaset
  
• Deployment
  
  

Scheduling

• Manual Scheduling
• Labels & Selectors
• Taints And Tolerations
• Node Affinity

Services & Networking

• Node Port Service
• Cluster IP vs Node-Port
• Service
• Service DNS
• Network Policies

Storage & Security

• Volumes
• Secrets
• Working with Secrets
• How to set up a Kubernetes cluster on a local machine using minikube?
• Physical Servers vs Virtual Machines vs Containers

Working with Kubectl

• Kubectl
• Kubectl Commands
• Kubectl Delete
• Kubectl Create and Kubectl Apply

Load Balancing & Configurations

• Load Balancing Service
• ConfigMap
• Create Config Map From Files
• Create ConfigMap from YAML
• ConfigMap from Directories
• Injecting ConfigMap as Files
• Injecting ConfigMap in Pods
• Kubernetes Resource Model (KRM) and How to Make Use of YAML?
  

Advanced Kubernetes

In this Advanced Kubernetes section we will understand how to manage complex containerized applications.

• API
• Deployment Strategies
• Static Pods
• Container Patterns
• Probing
• Statefulsets
• Resource Quotas

Real-World Use Cases & Projects

• Deploying Application Using Kubernetes
• Installing Private Git Server on K8s Cluster with Gitea and AKS
• Enable Remote Debugging For Java Application Deployed in Kubernetes Environment