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Kubernetes Training

Kubernetes Training

Welcome to KONCPT AI’s 5-day Kubernetes Training program! This intensive course covers Kubernetes fundamentals, automation, scaling, and container orchestration. Through theoretical sessions, hands-on labs, and real-world projects, participants will gain the expertise to confidently deploy, manage, and scale containerized applications using Kubernetes in corporate environments.

Description

Welcome to the 5-day Kubernetes Training program by KONCPT AI. This Corporate intensive course is designed to provide participants with a deep understanding of Kubernetes, an open-source platform for automating deployment, scaling, and operations of application containers. The training includes a mix of theoretical knowledge, hands-on labs, and real-world projects to ensure participants can confidently deploy and manage containerized applications using Kubernetes.

Benefits of Attending This Training

  1. In-Depth Knowledge: Gain comprehensive understanding of Kubernetes concepts and architecture.
  2. Hands-On Experience: Practical labs and real-world projects.
  3. Expert Instruction: Learn from experienced Kubernetes practitioners.
  4. Career Advancement: Improve your job prospects in DevOps, cloud computing, and infrastructure management.
  5. Networking: Connect with peers and industry professionals.

Certification: Receive a certificate of completion to validate your expertise

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Course Content


 Introduction to Kubernetes

  1. Introduction to Kubernetes and its history
  2. Understanding container orchestration
  3. Kubernetes architecture: Nodes, clusters, and components
  4. Setting up a Kubernetes environment (Minikube, Kubeadm, or managed Kubernetes)
  5. Hands-on exercises: Deploying a Kubernetes cluster
  6. Understanding Pods: The basic Kubernetes unit
  7. Creating and managing Pods
  8. Labels and Selectors: Organizing Kubernetes resources
  9. Hands-on exercises: Working with Pods, Labels, and Selectors
  10. Basic troubleshooting and debugging techniques

Kubernetes Workloads and Services

  1. Deployments and ReplicaSets: Managing application updates and scaling
  2. Hands-on exercises: Creating and managing Deployments and ReplicaSets
  3. DaemonSets and StatefulSets: Specialized workloads
  4. Hands-on exercises: Working with DaemonSets and StatefulSets
  5. Understanding Services and networking in Kubernetes
  6. ClusterIP, NodePort, and LoadBalancer services
  7. Hands-on exercises: Creating and managing Services
  8. ConfigMaps and Secrets: Managing configuration and sensitive data
  9. Hands-on exercises: Using ConfigMaps and Secrets
  10. Ingress controllers and Ingress resources: Exposing services to the outside world

Storage and Persistent Data in Kubernetes

  1. Understanding Kubernetes storage concepts
  2. Persistent Volumes (PVs) and Persistent Volume Claims (PVCs)
  3. Hands-on exercises: Working with PVs and PVCs
  4. Storage classes and dynamic provisioning
  5. Hands-on exercises: Configuring and using storage classes
  6. Managing stateful applications in Kubernetes
  7. Volume plugins and CSI (Container Storage Interface)
  8. Hands-on exercises: Integrating external storage solutions
  9. Backup and restore strategies for Kubernetes workloads
  10. Real-world use cases: Stateful applications in Kubernetes

Advanced Kubernetes Concepts

  1. Kubernetes resource management: Requests, limits, and quotas
  2. Hands-on exercises: Configuring resource requests and limits
  3. Understanding and managing namespaces
  4. Hands-on exercises: Working with namespaces and resource quotas
  5. Kubernetes security: RBAC, network policies, and Pod security policies
  6. Hands-on exercises: Implementing security best practices
  7. Helm: Kubernetes package management
  8. Hands-on exercises: Using Helm to manage applications
  9. Monitoring and logging in Kubernetes (Prometheus, Grafana, ELK stack)
  10. Hands-on exercises: Setting up monitoring and logging

 Kubernetes in Production and Real-World Projects

  1. Best practices for running Kubernetes in production
  2. High availability and disaster recovery strategies
  3. Kubernetes cluster scaling and auto-scaling
  4. Hands-on exercises: Implementing cluster auto-scaling
  5. Continuous Integration and Continuous Deployment (CI/CD) with Kubernetes
  6. Hands-on exercises: Integrating CI/CD pipelines with Kubernetes
  7. Troubleshooting and debugging Kubernetes applications
  8. Real-world projects: End-to-end application deployment and management
  9. Final project: Deploying, scaling, and managing a complex application
  10. Review and Q&A session


Contact us

By the end of this 5-day training program, participants will have a thorough understanding of Kubernetes fundamentals, advanced concepts, and best practices for managing containerized applications in production environments. Join us at KONCPT AI to master Kubernetes and propel your career forward!

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