Course Overview

Kubernetes (60h) হলো একটি Advanced, Practical & Career-Focused Course, যেখানে containerized applications deploy, scale, monitor এবং manage করার essential skills শেখানো হবে।

এই course-এ Cluster Architecture, Pods, Deployments, Services, ConfigMaps, Secrets, Volumes, Networking, Ingress, RBAC, Helm, Autoscaling, Monitoring এবং Troubleshooting শেখানো হবে।

Real-World Projects-এর মাধ্যমে learners High Availability, Rolling Updates, Self-Healing এবং Scalable Deployment-এর practical skills অর্জন করবে। এছাড়া Amazon EKS, Azure AKS ও Google GKE সম্পর্কে strong foundation তৈরি হবে।

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What You Will Learn

✔ Kubernetes Fundamentals

✔ Kubernetes Architecture

✔ Cluster & Node Management

✔ Pods & Containers

✔ Deployments

✔ ReplicaSets

✔ Services

✔ Namespaces

✔ Labels & Selectors

✔ ConfigMaps

✔ Secrets

✔ Persistent Volumes

✔ Storage Classes

✔ Kubernetes Networking

✔ Ingress

✔ DNS & Service Discovery

✔ Resource Requests & Limits

✔ Health Checks

✔ Rolling Updates & Rollbacks

✔ Horizontal Pod Autoscaling

✔ RBAC & Security

✔ Helm Package Manager

✔ Kubernetes Monitoring & Logging

✔ Troubleshooting

✔ High Availability

✔ Cloud Kubernetes

✔ Real-World Kubernetes Projects

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Course Curriculum

Module 1 — Introduction to Kubernetes

• What is Kubernetes?
• Why Kubernetes?
• Container Orchestration
• Kubernetes Use Cases
• Kubernetes vs Docker
• Kubernetes Ecosystem
• Kubernetes Architecture Overview

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Module 2 — Kubernetes Architecture

• Control Plane
• Worker Nodes
• API Server
• Scheduler
• Controller Manager
• etcd
• Kubelet
• Kube Proxy
• Container Runtime

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Module 3 — Kubernetes Setup

• Local Kubernetes Environment
• Minikube
• Kind
• kubectl Installation
• Kubernetes Cluster Setup
• kubectl Configuration
• Basic Cluster Commands

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Module 4 — Pods & Workloads

• What is a Pod?
• Pod Lifecycle
• Multi-Container Pods
• ReplicaSets
• Deployments
• StatefulSets Overview
• DaemonSets
• Jobs & CronJobs

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Module 5 — Services & Networking

• Kubernetes Services
• ClusterIP
• NodePort
• LoadBalancer
• Service Discovery
• DNS
• Kubernetes Networking Basics
• Network Policies

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Module 6 — ConfigMaps & Secrets

• Configuration Management
• ConfigMaps
• Secrets
• Environment Variables
• Secret Management Best Practices
• Application Configuration

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Module 7 — Kubernetes Storage

• Container Storage
• Persistent Volumes (PV)
• Persistent Volume Claims (PVC)
• Storage Classes
• Dynamic Provisioning
• Stateful Applications
• Database Storage

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Module 8 — Ingress & Traffic Management

• What is Ingress?
• Ingress Controller
• Host-Based Routing
• Path-Based Routing
• TLS/SSL
• HTTPS Configuration
• Load Balancing

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Module 9 — Application Deployment

• Deploying Applications
• YAML Manifest
• Deployment Strategies
• Rolling Updates
• Rollbacks
• Blue-Green Deployment Overview
• Canary Deployment Overview

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Module 10 — Resource Management & Scaling

• CPU & Memory Requests
• Resource Limits
• LimitRange
• Resource Quotas
• Horizontal Pod Autoscaler (HPA)
• Vertical Scaling Concepts
• Cluster Autoscaling Overview

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Module 11 — Kubernetes Security

• Kubernetes Security Fundamentals
• RBAC
• Roles & RoleBindings
• Service Accounts
• Authentication & Authorization
• Network Policies
• Pod Security
• Security Best Practices

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Module 12 — Helm & Package Management

• What is Helm?
• Helm Installation
• Helm Charts
• Values.yaml
• Templates
• Helm Install
• Helm Upgrade
• Helm Rollback
• Creating Custom Helm Charts

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Module 13 — Monitoring & Logging

• Kubernetes Monitoring
• Metrics
• Application Logs
• Cluster Logs
• Prometheus Overview
• Grafana Overview
• Kubernetes Dashboard
• Alerts & Monitoring Concepts

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Module 14 — Troubleshooting

• Pod Troubleshooting
• CrashLoopBackOff
• ImagePullBackOff
• Pending Pods
• Service Connectivity Issues
• DNS Problems
• Resource Issues
• Debugging with kubectl
• Kubernetes Logs & Events

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Module 15 — High Availability & Production

• High Availability Concepts
• Multiple Nodes
• Fault Tolerance
• Application Reliability
• Backup & Recovery
• Production Best Practices
• Cluster Maintenance

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Module 16 — Cloud Kubernetes

• Amazon EKS Overview
• Microsoft Azure AKS Overview
• Google Kubernetes Engine (GKE) Overview
• Cloud Kubernetes Architecture
• Deploying Applications to Cloud Kubernetes
• Cloud Load Balancing

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Module 17 — Real-World Projects

Students will work on practical projects such as:

• Deploying a Dockerized Web Application
• Kubernetes-Based Full Stack Application
• Nginx + Application + Database Architecture
• Production-Style Application Deployment
• Kubernetes Monitoring Project
• Auto-Scaling Application
• Complete Cloud Kubernetes Deployment Project

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Course Features

✅ 60 Hours Live Class

✅ বাংলা + English Explanation

✅ Intermediate to Advanced Training

✅ 100% Practical Hands-on Learning

✅ Kubernetes Cluster Setup

✅ Docker + Kubernetes Integration

✅ Real-World Deployment Projects

✅ Kubernetes Networking

✅ Storage & Security

✅ Helm Hands-on Practice

✅ Monitoring & Troubleshooting

✅ AWS EKS, Azure AKS & Google GKE Overview

✅ Source Code & YAML Files

✅ Instructor Support

✅ Class Recording (যদি প্রযোজ্য হয়)

✅ Certificate of Completion (যদি প্রদান করা হয়)

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Who Can Join?

• Docker Developers
• DevOps Beginners
• Cloud Engineers
• Software Developers
• Backend Developers
• Full Stack Developers
• System Administrators
• Linux Administrators
• CSE & ICT Students
• Diploma Engineering Students
• IT Professionals
• Freelancers
• যারা DevOps বা Cloud Engineering Career করতে চান

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After Completing This Course

এই কোর্স শেষ করার পর আপনি—

• Kubernetes Architecture এবং Core Components ভালোভাবে বুঝতে পারবেন।
• Kubernetes Cluster তৈরি ও Manage করতে পারবেন।
• Dockerized Application Kubernetes Cluster-এ Deploy করতে পারবেন।
• Pods, Deployments, ReplicaSets ও Services ব্যবহার করতে পারবেন।
• Kubernetes Networking ও Ingress Configure করতে পারবেন।
• ConfigMaps ও Secrets ব্যবহার করে Application Configuration Manage করতে পারবেন।
• Persistent Volumes ব্যবহার করে Stateful Application Deploy করতে পারবেন।
• Rolling Update ও Rollback পরিচালনা করতে পারবেন।
• Horizontal Pod Autoscaling ব্যবহার করে Application Scale করতে পারবেন।
• RBAC ও Kubernetes Security-এর Basic Best Practices প্রয়োগ করতে পারবেন।
• Helm ব্যবহার করে Application Package ও Deploy করতে পারবেন।
• Kubernetes Application Monitor এবং Troubleshoot করতে পারবেন।
• AWS EKS, Azure AKS ও Google GKE-এর মতো Managed Kubernetes Services নিয়ে কাজ করার জন্য Strong Foundation তৈরি করতে পারবেন।