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Kubernetes, often abbreviated as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications. It's essentially a platform that helps you run and manage applications across a cluster of machines, handling tasks like scheduling, networking, and storage orchestration


Key Concepts :


How it works :


Benefits of using Kubernetes :


Course Details

1. Introduction to Kubernetes

  • What is Kubernetes?
  • Why use Kubernetes?
  • Key benefits and features
  • Comparison with traditional deployment methods
  • Kubernetes architecture overview

  • Master Node Components
    • API Server
    • Controller Manager
    • Scheduler
    • etcd (Cluster Store)
  • Worker Node Components
    • Kubelet
    • Kube Proxy
    • Container Runtime (Docker, container)
  • Pod and Node communication

  • Installing Kubernetes (Minikube, Kubeadm, Kind)
  • Cluster setup on cloud providers (AWS, GCP, Azure)
  • Understanding kubeconfig
  • Interacting with Kubernetes using kubectl

  • Pods
  • ReplicaSets
  • Deployments
  • Namespaces
  • Labels & Selectors

  • Service types: ClusterIP, NodePort, LoadBalancer, ExternalName
  • Ingress controllers and Ingress rules
  • DNS in Kubernetes
  • Network Policies

  • ConfigMaps and Secrets
  • Environment Variables in Pods
  • Persistent Storage (PVs and PVCs)
  • StatefulSets vs Deployments
  • Init Containers

  • Horizontal Pod Autoscaler (HPA)
  • Vertical Pod Autoscaler (VPA)
  • Cluster Autoscaler
  • Liveness and Readiness Probes

  • Role-Based Access Control (RBAC)
  • Network Policies for security
  • Security Contexts
  • Pod Security Standards
  • Securing Kubernetes API

  • Monitoring with Prometheus & Grafana
  • Logging with Fluentd, EFK (Elasticsearch, Fluentd, Kibana) stack
  • Debugging failed Pods
  • Troubleshooting common issues

  • Deploying applications using Helm
  • Helm Charts and Templating
  • ArgoCD for GitOps workflows
  • Continuous Deployment with Kubernetes

  • Service Mesh (Istio, Linkerd)
  • Kubernetes Operators
  • Custom Resource Definitions (CRDs)
  • Multi-cluster Kubernetes
  • Serverless Kubernetes (Knative)
  • Kubernetes on AWS (EKS), Azure (AKS), GCP (GKE)
  • Best practices for production deployments
  • Preparing for Certified Kubernetes Administrator (CKA) & Certified Kubernetes Application Developer (CKAD)


Fees Structure : 15500 INR / 180 USD
Total No of Class : 68 Video Class
Class Duration : 52:00 Working Hours
Download Feature : Download Avalable
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

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Fees Structure : 32000 INR / 372 USD
Class Duration : 45 Days
Class Recording : Live Class Recording available
Class Time : Monday to Firday 1.5 hours per day / Weekend 3 Hours per day
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

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