Overview of Course

Learn Kubernetes and become a sought-after DevOps professional with our comprehensive Kubernetes Training course. This course is designed to provide you with the knowledge and skills needed to deploy, manage, and scale containerized applications using Kubernetes.

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Course Highlights

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Comprehensive training on Kubernetes

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Hands-on experience in deploying and managing Kubernetes clusters

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Learn how to manage containers and containerized applications using Kubernetes<br /><br /><br />




Key Differentiators

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    Personalized Learning with Custom Curriculum

    Training curriculum to meet the unique needs of each individual

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    We help organizations deliver right outcomes by training talent

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    Flexible Schedule & Delivery

    Choose between virtual/offline with Weekend options

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    Security & privacy are an integral part of our training ethos

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Skills You’ll Learn

#1

Deploying and managing Kubernetes clusters

#2

Managing containers and containerized applications using Kubernetes

#3

Scaling containerized applications using Kubernetes

#4

Troubleshooting common Kubernetes issues

#5

Understanding Kubernetes architecture and components

#6

Configuring Kubernetes networking and storage

#7

Implementing security in Kubernetes

Training Options

Training Vector
Training Vector
Offer Vector

1-on-1 Training

USD 250 / INR 20000
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
Offer Vector

Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews

Curriculum

  • API and K8s Features 
  • Docker Swarm vs Kubernetes
  • CKA and its imporatance

  • apiserver 
  • etcd 
  • Scheduler 
  • Master 
  • Worker Nodes

  • Kubeadm 
  • Kubectl 
  • Kubelet 

  • Workloads 
  • Pods deployment 
  • Auto-scaling 

  • Discuss deployment options                               

  • Manifest | Pod definition (YAML) 
  • Pod Autoscaling 
  • Rolling Updates
  • Pod CPU/ Memory Reservation 

  • Internal/External Services 
  • ClusterIP
  • NodePort
  • LoadBalancer
  • Ingress 

  • Resource Quota                                     

  • Secrets management 
  • Creating Secrets 
  • ConfigMaps 

  • Volumes
  • Storage
  • PV & PVC
  • Live use cases 

  • Daemon Sets 
  • Node Affinity 
  • Namespace 
  • Real-time scenarios 

  • Dev  
  • QA 
  • Staging  
  • Prod Teams 

  • Deployment 
  • Live visualisation of cluster activities 
  • Hands-on activities

  • Storage classes, persistent volumes
  • Volume mode, access modes and reclaim policies for volumes
  • Persistent volume claims primitive
  • Know how to configure applications with persistent storage

  • Evaluate cluster and node logging
  • How to monitor applications
  • Manage container stdout & stderr logs
  • Troubleshoot application failure & networking & Cluster component failure

  • Deployments and perform rolling updates and rollbacks
  • Configure applications using  ConfigMaps and Secrets
  • Scale applications
  • Techniques used to create robust, self-healing, application deployments
  • Work with resource limits and their effect on Pod scheduling
  • Manifest management and common templating tools

  • Manage role-based access control (RBAC)
  • Use Kubeadm to install a basic cluster
  • Manage a highly-available Kubernetes cluster
  • Provision of the underlying infrastructure to deploy a Kubernetes cluster
  • Perform a version upgrade on a Kubernetes cluster using kubeadm
  • Implement etcd backup and restore

  • Host networking configuration on the cluster nodes
  • Connectivity between Pods
  • ClusterIP, NodePort, LoadBalancer service types and endpoints
  • Ingress controllers and Ingress resources
  • Configure and use CoreDNS
  • Choose an appropriate container network interface plugin
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