Building, Deploying, and Running Containers in Production

OverviewStepsAuthor
DifficultyBeginner
Duration33h 14m
Students78
Ratings
5/5
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Description

Interested in building, deploying and running containers at enterprise scale?

This Learning Path will get you started with building, deploying, and operating containers in production. First we introduce you to the basics building blocks, Docker containers and introduce to concepts such as Dockerfiles. Then the Learning Path the takes you through the entire process of container development and deployment - concluding with building, deploying, and testing containerised applications in a Kubernetes cluster.

Learning Objectives

  • Learn the basic principles of building Docker containers and working with Dockerfiles
  • Understand the benefits of using Docker for application development
  • Learn how to package and run microservices as lightweight containers using Docker
  • Understand the basic principles of deploying cloud native applications into Kubenetes
  • Learn how to work with and configure many of the key Kubernetes cluster resources such as Pods, Deployments, Services etc.
  • Learn how to manage deployments and Kubernetes cluster resources through their full lifecycle.

Intended Audience

  • Anyone interested in learning how to architect cloud native applications
  • Anyone interested in using cloud native development tools and practices
  • Anyone interested in containerisation
  • Anyone interested in learning Kubernetes
  • DevOps Practitioners

Prerequisites

A basic understanding of web based software development

Certificate

Your certificate for this learning path
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Learning Path Steps

2 labs

Learn how to implement software development, testing, and delivery using Docker with this Cloud Academy Lab.

3 labs

Get started with Docker on Linux for AWS: Go from 0 to 60 in this lab from installing Docker to running your first app inside a container.

5 description

Use this glossary to overcome the initial Kubernetes jargon hurdle to review terms as they are encountered.

8 labs

Create a Kubernetes cluster from scratch using kubeadm and perform several cluster management tasks including backups, restores, and upgrades in this Lab.

11 labs

Detect, diagnose, and remedy a variety of Kubernetes failures at the network, node, control-plane, and application levels in this Lab.

14 labs

Deploy a stateless application in a Kubernetes cluster that you build from the ground up in this Lab

15 labs

Deploy a stateful application in a Kubernetes Cluster in this Lab to understand how, why, and when it makes sense to run stateful applications in Kubernetes

17 labs

Practice defense in depth in Kubernetes including authentication, authorization, network policies, security contexts, and secrets security primitives.

20 labs

Amazon EKS - Launch Cluster and Deploy Microservices Application

21 exam-filled

Exam: Introduction to Kubernetes

22 exam-filled

Kubernetes Basics Check

23 exam-filled

Kubernetes Concepts Check

About the Author

Students12977
Labs28
Courses65
Learning paths15

Jeremy is the DevOps Content Lead at Cloud Academy where he specializes in developing technical training documentation for DevOps.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 20+ years. In recent times, Jeremy has been focused on DevOps, Cloud, Security, and Machine Learning.

Jeremy holds professional certifications for both the AWS and GCP cloud platforms.