Development
Software Engineering
Kubernetes
Kubernetes - The definitive guide
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Kubernetes - The definitive guide

Mastering DevOps
0.0 (0 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3 students enrolled
Created by Szabó Dániel Ernő
Last updated 1/2020
English
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Kubernetes - The definitive guide
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This course includes
  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Kubernetes
  • Docker
  • Elasticsearch
  • Kibana
  • Fluentd
  • Python
Course content
Expand all 14 lectures 01:42:16
+ – Docker Tips and Tricks
2 lectures 10:52
Tips and Tricks
05:28
Docker custom bridge
05:24
+ – Minikube setup
4 lectures 36:03
Setting up kubernetes
09:28
Pods and Services
12:21
ReplicaSet and HA
06:21
Deployments
07:53
+ – Setting up ELKF stack
2 lectures 13:53
Elasticsearch and Kibana install
06:08
Pushing Container logs
07:45
+ – Custom python app
2 lectures 11:18
Python app
05:36
Forwarding python app logs
05:42
Requirements
  • Basic DevOps concepts
  • Python
  • Elasticsearch
  • Kubernetes
  • Kibana
  • Fluentd
Description

Hello,


Welcome to my course on kubernetes and DevOps, this is a wonderful opportunity for you to pick up speed in one of the fastest evolving subjects of IT. This course will help you get familiar with DevOps concepts. We will first configure our Docker machine, do build and run docker containers, then we turn our sight towards Kubernetes. We will build our test environment with the help of Minikube. Deploy our Pods, Services, ReplicaSets and Deployments. As an ending we will create an ELKF stack to collect logs from our containers and I'm going to show you how to index a standalone python application.

Check out the supporting github repository in the links for the resources.


Let's get started!


Cheers,

Daniel

Who this course is for:
  • Junior DevOps Enginners
  • Experienced DevOps Engineers
  • Medior DevOps Engineers
  • Python Developers