Understanding Container Fundamentals – Step by Step

Introduction to the course:

This series of blogs is intended to cover container fundamentals which includes architecture, designing, and a brief about process of developing, deploying, and maintaining cloud-native applications on a container platform. In the process of doing what, we will focus mainly on understanding microservices, architecture of the complete container stack using Dockers, Kubernetes, NSX-T and other plugins and tools which makes the system complete to host enterprise applications on the cloud which includes monitoring, reporting, scaling vertically / horizontally and managing the lifecycle of platform.

My Movie

By the end of this container fundamentals series, you will be able to understand how an application lives in containerized world and benefits it leverages with virtue of being micro-serviced.

In this container fundamentals series, I have planned only to cover basics of each essential component of complete eco-system so that it is easy to relate things and makes a strong foundation before we go deep into concepts and practical uses cases, probably in one of the upcoming series.

Although there are no hard pre-requisites for each section of this container fundamentals series of blogs however I would recommend following sequence as it will definitely be easier to gain momentum of concepts.

Here is a glimpse of high level objectives:

  • Prerequisites
  • Containers
  • Container Runtimes
    • Introduction to Docker
  • Container Orchestrators
    • Introduction to Kubernetes
  • Application Package Managers
    • Introduction to Helms
  • Providing storage to containers
  • Container Networking – Different Models
    • Introduction to NSX-T for container networking
  • Container Eco-System – Connecting the dots
    • Designing a container environment to host enterprise apps
    • Scaling a container environment vertically
    • Scaling a container environment horizontally
  • Planning Apps Migration to Cloud
  • DevOps Basics
  • CI/CD pipeline automation using containers

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