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Kubernetes Training Course!

Gain an in-depth understanding of Kubernetes architecture, including master and worker nodes, pods, services, and controllers!

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3,870 students

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  • Course MajorContainer Orchestration
  • Course MajorKubernetes Fundamentals
  • Course MajorService Management
  • Course MajorScaling Applications
  • Course MajorResource Optimization
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What you'll learn

Kubernetes Architecture

Gain an in-depth understanding of Kubernetes architecture, including master and worker nodes, pods, services, and controllers.

Deployment and Scaling

Learn how to deploy containerized applications using Kubernetes, and scale them dynamically to handle varying workloads.

Service Discovery and Load Balancing

Understand Kubernetes service discovery mechanisms and how to configure load balancing for microservices-based applications.

Resource Management

Explore Kubernetes resource management features such as namespaces, quotas, and resource requests/limits to optimize cluster utilization.

Storage Orchestration

Master storage orchestration in Kubernetes, including persistent volume claims, storage classes, and dynamic provisioning.

Monitoring and Logging

Learn how to monitor Kubernetes clusters and applications using built-in tools like Prometheus and Grafana, and configure logging with tools like Fluentd and Elasticsearch.

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Course Content

  • Overview of Kubernetes and its features
  • Understanding container orchestration and its benefits
  • Introduction to Kubernetes architecture and components

  • Setting up a Kubernetes cluster using various deployment methods (e.g., Minikube, kubeadm, managed Kubernetes services)
  • Configuring Kubernetes networking and storage options
  • Securing Kubernetes clusters with RBAC and network policies

  • Understanding Kubernetes Pods and their lifecycle
  • Deploying containerized applications with Deployments and ReplicaSets
  • Managing rolling updates and rollbacks with Deployments

  • Introduction to Kubernetes Services and their types (ClusterIP, NodePort, LoadBalancer)
  • Configuring service discovery and load balancing in Kubernetes
  • Implementing network policies for network segmentation and security

  • Understanding Kubernetes storage options (Volumes, PersistentVolumeClaims, StorageClasses)
  • Configuring persistent storage for stateful applications in Kubernetes
  • Implementing dynamic volume provisioning with StorageClasses

  • Managing configuration data with ConfigMaps and Secrets in Kubernetes
  • Injecting configuration data into containers using ConfigMaps and Secrets
  • Understanding best practices for managing sensitive data in Kubernetes

  • Exploring different deployment strategies in Kubernetes (Rolling updates, Blue/green deployments, Canary deployments)
  • Implementing deployment strategies using Kubernetes native features
  • Understanding the pros and cons of each deployment strategy

  • Monitoring Kubernetes clusters and applications using Prometheus and Grafana
  • Centralized logging with tools like Fluentd, Elasticsearch, and Kibana (EFK stack)
  • Configuring alerts and dashboards for monitoring Kubernetes resources

  • Understanding advanced Kubernetes features (DaemonSets, StatefulSets, Jobs, CronJobs)
  • Exploring Kubernetes custom resources and operators
  • Integrating Kubernetes with other cloud-native technologies (e.g., Istio, Knative)

  • Best practices for deploying Kubernetes in production environments
  • Implementing high availability and disaster recovery strategies in Kubernetes
  • Scaling and auto-scaling applications in Kubernetes for production workloads

  • Applying Kubernetes concepts and techniques to real-world projects and case studies
  • Collaborative project work to reinforce learning and develop practical skills
  • Best practices and tips for building scalable and resilient Kubernetes clusters

Industry recognized certification

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Instructor

Ankit Verma

The Kubernetes Training Course trainer is a seasoned professional with extensive expertise in container orchestration and Kubernetes. With years of hands-on experience in designing, deploying, and managing Kubernetes clusters in production environments, the trainer brings a wealth of practical knowledge to the classroom.

Their dynamic teaching style blends theoretical concepts with real-world examples, fostering an interactive learning environment where students can grasp complex Kubernetes principles with ease. Through personalized guidance and mentorship, the trainer empowers learners to become proficient in Kubernetes administration, equipping

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Kubernetes Training Course!
₹25,000 ₹50,000