Kubernetes & Cloud Native Associate
Kubernetes & Cloud Native Associate Hindi Course is the ultimate guide to mastering Kubernetes, Docker, and Cloud Native Computing in Hindi. This course is designed for beginners and professionals who want to learn containerization, orchestration, DevOps workflows, and CNCF tools from scratch.
What You’ll Learn in This Course:
Docker & Containerization – Learn how to build, manage, and deploy Docker containers.
Kubernetes Fundamentals – Set up, configure, and manage Kubernetes clusters for production-ready applications.
Cloud Native DevOps & Automation – Implement CI/CD pipelines using Jenkins, GitOps, Helm, and ArgoCD for seamless deployments.
Kubernetes Networking & Security – Master Ingress, Service Mesh, RBAC, TLS encryption, ConfigMaps, and Secrets.
Monitoring & Troubleshooting – Use Prometheus, Grafana, and Kubernetes logging tools to optimize performance.
Hands-on Projects & Real-World Use Cases – Work on industry-level projects to solidify your Kubernetes and DevOps expertise.
Module-wise Course Overview
Module 1: Introduction to Cloud Native and Containerization
Understand cloud-native principles, containerization, CNCF landscape and set up Docker & Kubernetes environments.
Module 2: Docker and Container Fundamentals
Learn Docker architecture, image creation, container management, Docker Compose, and secure image distribution.
Module 3: Kubernetes Architecture and Key Concepts
Explore Kubernetes orchestration, control plane, worker nodes, and different cluster setup options.
Module 4: Kubernetes Objects & Deployments
Master Pods, ReplicaSets, Deployments, Services, scaling strategies, and networking in Kubernetes.
Module 5: Storage, ConfigMaps, and Secrets
Manage persistent storage, ConfigMaps, and secrets, ensuring secure and scalable Kubernetes applications.
Module 6: Application Lifecycle & CI/CD
Implement CI/CD pipelines, automate deployments using GitOps, and master Canary & Blue-Green deployments.
Module 7: Observability & Monitoring
Monitor clusters with Prometheus, Grafana, and ELK stack while ensuring efficient logging and alerting.
Module 8: Security in Kubernetes
Secure Kubernetes using RBAC, image scanning, network policies, secrets management, and runtime security tools.
Module 9: Advanced Kubernetes Topics
Learn Kubernetes Operators, Service Mesh, autoscaling, HA clusters, and disaster recovery.
Module 10: CNCF Projects & Cloud-Native Trends
Explore CNCF projects, serverless computing with Knative, Kubernetes at the edge, and hybrid/multi-cloud strategies.
Module 11: Exam Preparation & Best Practices
Get ready for Kubernetes certification with hands-on labs, real-world case studies, and troubleshooting exercises.
Module 12: Capstone Project & Career Guidance
Build and deploy a cloud-native microservices project, prepare for DevOps roles, and explore career pathways.
Who Should Take This Course?
This course is perfect for:
DevOps Engineers who want to master Kubernetes & Cloud Native DevOps.
Cloud Architects & System Admins looking to deploy scalable Kubernetes clusters.
Software Developers interested in microservices, containerization, and cloud-native application development.
Students & IT Professionals preparing for Kubernetes & Cloud Certifications (KCNA, CKA, CKAD, CKS).
Why Choose This Course?
100% Hindi Course for easy understanding.
Practical, hands-on training with step-by-step implementation.
Industry-level projects to boost your portfolio.
Best for career growth in DevOps, Cloud, and Kubernetes.
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Start Your Kubernetes & Cloud Native Journey Today! Enroll Now and Become a Kubernetes Expert!
- 13 Sections
- 112 Lessons
- 10 Weeks
- Introduction to Cloud Native and Containerisation6
- Docker and Container Fundamentals6
- Kubernetes Architecture and Key Concepts6
- Kubernetes Objects Fundamentals8
- 4.1Basic Kubernetes Objects
- 4.2ReplicaSets, Deployments, Reconciliation loop
- 4.3Rolling updates, rollbacks
- 4.4Horizontal Pod Autoscaler (HPA) basics
- 4.5ClusterIP, NodePort, and LoadBalancer services
- 4.6Service discovery and DNS in Kubernetes
- 4.7Logical separation of resources
- 4.8Multi-tenant best practices
- Storage, ConfigMaps and Secrets9
- 5.1Storage classes, dynamic provisioning
- 5.2Storage classes, dynamic provisioning (Practical Session)
- 5.3Storage Class in EBS (Practical Session)
- 5.4Managing configuration data for Pods
- 5.5Mounting ConfigMaps as files or environment variables
- 5.6Storing confidential data (API keys, passwords)
- 5.7Security considerations and best practices
- 5.8Backup and restore strategies for Kubernetes workloads
- 5.9Handling stateful workloads in a cloud-native environment
- Application Lifecycle and Workflows12
- 6.1Best practices for containerizing microservices
- 6.2CICD integration for building and pushing images
- 6.3Jenkins
- 6.4CircleCI
- 6.5Github actions
- 6.6Deploying automatically to Kubernetes clusters
- 6.7Gitlab CI
- 6.8Canary and Blue Green Deployments
- 6.9End to End project using Gitops (Project Part-1)
- 6.10Deploy V1 of tetris (Project Part-2)
- 6.11Build and push v2 of tetris (Project Part-3)
- 6.12Gitops Complete Setup (Project Part-4)
- Observability and Monitoring17
- 7.1Three pillars Logging, Metrics, Tracing
- 7.2Distributed tracing in microservices
- 7.3Prometheus Architecture
- 7.4Prometheus and Grafana Practical Part-1
- 7.5Prometheus and Grafana Practical Part-2
- 7.6Kubernetes metrics server
- 7.7Kubernetes metrics server Practical
- 7.8Grafana Dashboard
- 7.9Container logging best practices
- 7.10Using Elastic Stack (ELK) or Loki for centralized logs
- 7.11Alert Manager Practical
- 7.12EFK Stack Theory Part 1
- 7.13EFK Stack Theroy Part 2
- 7.14EFK Practical
- 7.15Tracing theory
- 7.16Tracing Practical
- 7.17End-to-End Project on Observability
- Security in Kubernetes12
- 8.1RBAC_SSL_AND_TLS
- 8.2Understanding TLS Certificates, Authentication & Authorization
- 8.3RBAC_Practical
- 8.4Network Policy
- 8.5Security Context
- 8.6Pod Security Standards
- 8.7Trivy Scanning
- 8.8Signing and verifying images
- 8.9External secret stores (Vault, AWS Secrets Manager)
- 8.10In-transit and at-rest encryption
- 8.11Tools for real-time threat detection (Falco)
- 8.12Best practices for isolating workloads
- Advanced Kubernetes Topics12
- 9.1Concept of Operators Theory
- 9.2Building your own operator with Operator Framework
- 9.3CRD(Custom Resource Definition)
- 9.4CRD Practical
- 9.5Istio, Linkerd, Consul for traffic management and observability
- 9.6Istio Practical
- 9.7mTLS, routing, and policy management Practical
- 9.8Vertical Pod Autoscaler
- 9.9Cluster AutoScaler
- 9.10HA clusters with multiple control plane nodes
- 9.11Backup of ETCD advance
- 9.12Restore strategies for workloads
- Cloud Native Ecosystem and CNCF Projects7
- 10.1Overview of graduated and incubating projects
- 10.2Real-world use cases and success stories
- 10.3Knative, OpenFaaS, or Apache OpenWhisk
- 10.4Event-driven architecture in Kubernetes
- 10.5Kubernetes at the edge (K3s)
- 10.6Hybrid and multi-cloud strategies using Federation
- 10.7Evolving Trends, eBPF and SPIFFE, SPIRE
- Exam Preparation and Best Practices7
- 11.1Domains covered, question types, and time management
- 11.2Study guides and practice questions
- 11.3Common tasks (Deployments, Services, Security, Observability)
- 11.4Debugging Pod failures, analyzing logs, and scaling workloads
- 11.5Common patterns in production-grade Kubernetes
- 11.6Minimizing downtime and avoiding pitfalls
- 11.7Soft Skills in Cloud Native
- Capstone Projects and Career Path Guidance7
- 12.1Design, deploy, and operate a microservices application on Kubernetes
- 12.2CICD, monitoring, security
- 12.3Code review and feedback on best practices
- 12.4Sharing dashboards, logs, and metrics to illustrate reliability
- 12.5Kubernetes & Cloud Native Associate
- 12.6Roles SRE, DevOps Engineer, Cloud Architect
- 12.7Final Steps
- Capstone Project3
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