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Kubernetes

Kubernetes
Courses Information

Kubernetes is an open-source container orchestration platform designed to automate the deployment, scaling, and management of containerized applications. Containers are a lightweight and portable way to package and run applications and their dependencies, ensuring consistency across different environments.

Kubernetes has become a popular choice for managing containerized workloads, providing a robust and extensible platform for building and deploying applications at scale. It is widely used in cloud-native development and has a large and active open-source community contributing to its development.

Curriculum
Module 1: Kubernetes Core Concepts and Networking
  • Kubernetes Core Concepts
  • Kubectl common commands
  • Understanding Pods
  • Configure network on cluster nodes
  • Pod Networking Concepts
  • Setting up a cluster - Kubernetes Certificates
Module 2: Kubernetes Services and Scheduling
  • Services and Controllers
  • Service Networking
  • Deploy and configure network Load Balancer
  • Primitives necessary for self-healing apps
  • Effects of resource limiting on pod scheduling
  • Configure Kubernetes Scheduler
  • Running multiple Schedulers
Module 3: Kubernetes Controllers
  • ReplicaSet and Replication Controller
  • Daemon Sets
  • Deployments
  • Rolling updates and Rollbacks
  • Scaling applications
  • Ingress
Module 4: Persistent Storage in Kubernetes
  • PersistentVolume and PersistentVolumeClaim
  • Access modes for volumes
  • Primitives for PersistentVolumeClaim
  • Secrets and ConfigMaps in your pods
  • Storage classes
  • Headless services
  • StatefulSets
Module 5: - Securing the Cluster
  • Authentication
  • Authorization
  • Kubernetes security primitives
  • Configure Network Policies
  • Security Contexts
Module 6: Logging and Monitoring the Cluster
  • Monitoring the cluster using Prometheus
  • Visualizing cluster logs using EFK stack
  • Jobs
  • ETCD operations
  • Helm Charts
Module 7: Troubleshooting the Cluster
  • Troubleshooting application failures
  • Troubleshooting cluster failures

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