Docker and Kubernetes

CloudLabs

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Course Overview

Become an expert in implementing and maintaining Docker platform applications with this Docker and Kubernetes Training. Gain an in-depth understanding of user interface and navigation, users and tasks, and data administration.Further, You will understand Kubernetes architecture and its master components, like node, pods, labels, and Annotations. You will also learn to deploy apps on clusters and further expose these apps outside the cluster i.e deploy Kubernetes Cluster on Cloud server etc. and get to know, how to scale apps either manually or using auto-scaling, along with best security practices that should be followed during cluster orchestration like Providing a Unique Identity for an Application. With Cloud labs, practice populating and protecting the database, creating knowledge bases and service catalogs. Learn how to implement workflow activities and approval structure, business rules, and client scripts, and more. Get ready for Docker and Kubernetes deployment at your organization with our Docker and Kubernetes traini

At the end of the training, participants will be able to:

  1. Explain Kubernetes Architecture
  2. Run containerized applications from pre-existing images stored in a centralized registry
  3. Create and Deploy Containers
  4. Deploy Kubernetes Cluster on Cloud Server
  5. Explain Pods and Distributed System Tool Kit
  6. Organize/Schedule Applications on Containers
  7. Install, maintain, and operate the Docker platform
  8. Stand-up new Docker environments and perform general maintenance and configuration
  9. Migrate traditional applications to containers
  10. Explain Security Practises for Cluster Orchestration.
  11. Know how real-world Applications are Deployed

Pre-requisite

  1. Basic Understanding of Linux and/or Windows Server

Duration

3 days

Course Outline

  1. Introduction to Containers
  2. Introduction to Docker
  3. Docker EcoSystem
  4. Docker Components
  5. Docker Architecture
  6. Docker Engine Components and Dataflow
  7. Classroom Environment With Docker setup
  8. Containers Creations
  9. Containers Operations
  10. Docker – Images Operations
  11. DockerHub
  12. Registry and Repositories in Docker
  13. Docker – Building Images
  14. Image Build with Dockerfile
  15. Deep Dive (Advanced) – Images
  16. Real time application image builds
  17. Deep Dive – Containers
  18. Housekeeping (Deleting dangling images, containers and volumes)
  19. Container Network Model
  20. Docker Volumes
  21. Persistent data in Docker Volumes
  1. Introduction to Microservices
  2. What is Kubernetes
  3. Why Kubernetes
  4. Kubernetes Cluster objects overview
  5. Kubernetes Cluster Installation Methods
  6. Production method installation for complete setup (NO minikube, No cloud based services)
  7. Calico Network setup for Installation
  8. Kubernetes communication and Architecture
  9. Kubernetes Pods various implementation operations
  10. Kubernetes Labels and Selectors various implementation operations
  11. Kubernetes Replicasets various implementation operations
  12. Kubernetes Deployments various implementation operations
  13. Kubernetes Services various implementation operations
  14. NodePort
  15. Cluster IP
  16. Load Balancers
  17. Kubernetes object deletion process
  18. Scale up an application
  19. Scale down an application
  20. Rolling updates
  21. Real Time Examples for Webservers like nginx, tomcat etc.
  22. Dashboard for Kubernetes implementation
  23. Other Critical Kubernetes objects and their implementation
  24. PV
  25. PVC
  26. Secrets
  27. Configmaps
  28. HealthChecks
  29. Monitoring solutions for K8’s
  30. Deployment methods for Kubernetes ready application (helm or other related offerings)
  31. Final Closure

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